乔俊飞

期刊论文

1. Wenjing Li, Zhigang Li, Junfei Qiao (2026). DEPFSWNN: A data-driven efficient pruning feedforward small-world neural network as a virtual sensor for total phosphorus in wastewater treatment process. Expert Systems With Applications, Vol. 296.DOI
2. 田昊，汤健，余文，乔俊飞（2026）. 基于混合驱动与梯度优化的模糊宽度模型预测控制. 《自动化学报》.DOI
3. 王功明，刘起浩，陈红，韩红桂，乔俊飞（2026）. 烟气脱硫过程含硫量自适应预测与异常状态溯源方法. 《化工学报》.
4. 王功明，赵赫楠，韩红桂，乔俊飞（2026）. 一种深度信念网络泛化误差边界量化方法及应用. 《控制与决策》.
5. 杨少布道，傅安琪，乔俊飞（2026）. 数据驱动的未知复杂系统在线滚动辨识与优化控制. 《控制理论与应用》.
6. 王功明，李欣怡，王自鹏，张梦华，韩红桂，乔俊飞（2026）. 基于深度模糊推理模型的烟气脱硫设备运行状态预测. 《自动化学报》.DOI
7. 王鼎，刘奥，乔俊飞（2026）. 连续时间系统混合迭代鲁棒自适应评判控制. 《自动化学报》.
8. 王鼎，李鑫，赵明明，乔俊飞（2026）. 面向非线性系统的知识驱动高效安全评判学习控制. 《自动化学报》.DOI
9. 蒙西，方雨晴，乔俊飞（2026）. 基于小生境差分进化算法的城市固废焚烧过程智能优化运行方法. 《控制与决策》.
10. 孙跃扬，武利，郭楠，乔俊飞（2026）. 具有在线自组织功能的RBF网络的COD预测. 《控制工程》.DOI
11. 杨潇贤，汤健，乔俊飞（2026）. 多模态深度特征驱动的城市固废焚烧过程烟气含氧量预测模型. 《智能系统学报》.
12. 汤健，王子，夏恒，王天峥，乔俊飞（2026）. 基于ARIMA-LSTM模型的MSWI过程CO2排放浓度多步预测. 《北京工业大学学报》.
13. 汤健，王天峥，夏恒，陈佳昆，梁永琪，庄家宾，乔俊飞（2026）. 基于全流程仿真机理数据的城市固废焚烧过程尾气排放建模与分析. 《北京工业大学学报》.
14. Jia-Ning Zhang, Wenjing Li, Junfei Qiao (2026). Feature-Augmented Broad Neural Network for Sensor Incipient Drift Fault Detection in Wastewater Treatment Process. IEEE Transactions on Neural Networks and Learning Systems.DOI
15. Wenjing Li, Zhiyong Liang, Ruoqing Qiu, Junfei Qiao (2026). HDENet: A hierarchical decomposition-ensemble neural network for prediction of multi-periodic water quality in wastewater treatment process. Applied Soft Computing.DOI
16. Wenjing Li, Zi-Shan Yu, Junfei Qiao (2026). Recognition of Imbalanced Working Conditions in Wastewater Treatment Process with a Robust Possibilistic Fuzzy C-Means Algorithm. Chemical engineering research & design.DOI
17. Yuxin Jia, Nan Guo, Tiewei Shang, Wen-Lu Li, Yueyang Sun, Junfei Qiao (2026). A Bayesian‐Optimized GRU Network With WMD‐EFAST Self‐Organizing Mechanism for Multimodal Atmospheric Pollutant Prediction. International Journal of Adaptive Control and Signal Processing.DOI
18. Bo-Wen Wang, Zi-Peng Wang, Junfei Qiao, Hong-Gui Han, Sheng-Li Du, Huai-Ning Wu, Ting-Wen Huang (2026). Adaptive Neural Network Boundary Security Consensus Control of Nonlinear Delayed Multiagent PDE Systems Under Hybrid Attacks. IEEE Transactions on Cybernetics.DOI
19. Zi-Peng Wang, Hong-Yu Chen, Junfei Qiao, Haixu Ding, Huai-Ning Wu, Tingwen Huang (2026). Output Synchronization via Intermittent Dynamic Event-Triggered Sampled-Data Security Control for Delayed Reaction--Diffusion Neural Networks. IEEE Transactions on Cybernetics.DOI
20. Tianli Xu, Shengli Du, Xuefang Wang, Xiang Liu, Junfei Qiao (2026). On prescribed-time convergence of Nash equilibrium seeking over switching topologies with dynamic event-triggered communication. Applied Mathematics and Computation.DOI
21. Zhaoyu Ji, Ding Wang, Ao Liu, Jin Ren, Junfei Qiao (2026). Digital twin-based adaptive critic designs with embodied intelligence for wastewater treatment processes. Journal of Industrial Information Integration.DOI
22. Xiankun Shi, Yibo Li, Ziqi Wang, Junqi Zhang, Jing Bi, Nan Ma, Junfei Qiao (2026). Anomaly Detection in Long-term Time Series with Transformer and Variational Autoencoder. CAAI Artificial Intelligence Research.DOI
23. Lingzhi Hu, Ding Wang, Xinrui Ma, Junfei Qiao (2026). Reducing computational burden while preserving optimality: An offline self-triggered control framework for discrete nonlinear systems via adaptive critic learning. Chaos Solitons & Fractals.DOI
24. Junfei Qiao, Chunchang Xiao, Anqi Fu, Yongkun Wang, Ziyi Zhang, Tianyu An (2026). China’s information technology-based video anomaly detection for water treatment plants. Scientific Reports.DOI
25. Qianwen Liu, Xi Meng, Junfei Qiao (2026). A process state-driven adaptive echo state network for nitrogen oxides concentration prediction in municipal solid waste incineration processes. Engineering Applications of Artificial Intelligence.DOI
26. Yingyun He, Ding Wang, Xinrui Ma, Junfei Qiao (2026). Neural-critic-based optimal safe tracking control for vehicle platoon systems. Neurocomputing.DOI
27. Ding Wang, Xinrui Ma, Ao Liu, Junfei Qiao (2026). Optimal backstepping control for constrained nonlinear systems with input delay via event-triggered adaptive critic. Communications in Nonlinear Science and Numerical Simulation.DOI
28. Dingyuan Chen, Cuili Yang, Dapeng Li, Xiang Liu, Junfei Qiao (2026). Neuroadaptive Fuzzy Dynamic Optimal Tracking Control in Wastewater Treatment Aeration Process. IEEE Transactions on Fuzzy Systems.DOI
29. Yi-Xiang Wang, Ding Wang, Qiao Lin, Kai Ye, Junfei Qiao, Jonathan M. Garibaldi (2026). Fuzzy Critic Learning for Enhanced Fine-Tuning Policy Optimization. IEEE Transactions on Fuzzy Systems.DOI
30. Weimin Huang, Xi Meng, Junfei Qiao (2026). Collaborative Dynamic Optimization Control for Municipal Solid Waste Incineration Process. IEEE Transactions on Cybernetics.DOI
31. Anqi Fu, Yue Wang, Junfei Qiao (2026). A Lightweight Period-Trend Decomposition Dual-Branch Anomaly Detection Method for Water Supply Network. Chinese Control and Decision Conference (CCDC).DOI
32. Wenting Yan, Ding Wang, Xinrui Ma, Junfei Qiao (2026). Adaptive critic designs for event-based multi-agent systems with asymmetric constraints. Neural Networks.DOI
33. Junfei Qiao, Jiabin Zhuang, Haixu Ding (2026). A Hybrid Numerical Simulation–Data Driven Modeling Framework for Municipal Solid Waste Incineration Digital Twin Temperature Prediction. IEEE Transactions on Industrial Informatics.DOI
34. Menghua Li, Ding Wang, Junfei Qiao (2026). Intelligent Constrained Zero-Sum Game Design With Advanced Critic Learning Including a Two-Area Power System Application. IEEE Transactions on Cybernetics.DOI
35. Jiabin Zhuang, Haixu Ding, Junfei Qiao (2026). Mechanism-Guided Virtual Sample Generation With Interval Type-2 Fuzzy Regulation: Application to Municipal Solid Waste Incineration. IEEE Transactions on Fuzzy Systems.DOI
36. Wenting Yan, Ding Wang, Menghua Li, Junfei Qiao (2026). Adaptive critic designs for asymmetric constrained zero-sum games of nonlinear multi-agent systems. Nonlinear Dynamics.DOI
37. Zhaoyu Ji, Mingming Zhao, Menghua Li, Ding Wang, Junfei Qiao (2026). Optimal Tracking Control Based on Event-Triggered Mechanism in Wastewater Treatment Processes. Youth Academic Annual Conference of Chinese Association of Automation (YAC).DOI
38. Tian Lv, Zi-Peng Wang, Junfei Qiao (2026). Bayesian-Optimized TCN with Residual Squeeze-and-Excitation Attention for NOx Forecasting in Municipal Solid Waste Incineration. Youth Academic Annual Conference of Chinese Association of Automation (YAC).DOI
39. Yuzhe Wang, Zi-Peng Wang, Junfei Qiao (2026). Furnace Temperature Prediction for Municipal Solid Waste Incineration Based on BO-LSTM-GBRT. Youth Academic Annual Conference of Chinese Association of Automation (YAC).DOI
40. Z Wang, Hua-Ran Su, Junfei Qiao, Honggui Han, Huai-Ning Wu, Lizhuang Huang (2026). Fuzzy Intermittent Boundary Control for Nonlinear Delayed Markov Jump Distributed Parameter Systems. IEEE Transactions on Fuzzy Systems.DOI
41. Cuili Yang, Ran Hao, Junfei Qiao, Jian Tang, Dingyuan Chen (2026). Knowledge Guidance and Twin SVM Classifier Based Dynamic Multiobjective Optimization Control for Wastewater Treatment Process. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
42. Canlin Cui, Jian Tang, Junfei Qiao (2026). Qualitative analysis and modeling of temperature states in municipal solid waste incineration. Measurement.DOI
43. Wenhui Ma, Guangwei Chen, Junfei Qiao, Mingyue Xu, Z Wang, Qingpeng Ge (2026). A Deep Learning Model Incorporating Physical Information: Circulating Fluidized Bed Temperature Prediction. IEEE Systems Man and Cybernetics Magazine.DOI
44. Zhaoyu Ji, Xiang Liu, Ding Wang, Mingming Zhao, Menghua Li, Junfei Qiao (2026). Data-Driven Adaptive Critic Designs for Hybrid Lifelong Learning in Wastewater Treatment Processes. IEEE Transactions on Industrial Informatics.DOI
45. Jin Ren, Ding Wang, Mingming Zhao, Junfei Qiao (2026). Data-driven fast optimal regulation with adjustable convergence for asymmetric constrained systems. Neurocomputing.DOI
46. Kai Ye, Ding Wang, Jiangyu Wang, Junfei Qiao (2026). Adaptive evolutionary inverse reinforcement learning for large-scale interconnected systems. Neurocomputing.DOI
47. Lina Hu, Ding Wang, Xinrui Ma, Junfei Qiao (2026). Offline periodic optimal event-triggered critic learning control for discrete-time nonlinear systems. Chaos Solitons & Fractals.DOI
48. Ding Wang, Ying He, Menghua Li, Xinrui Ma, Junfei Qiao (2026). Neural critic learning and optimal backstepping tracking control for unknown strict feedback systems with symmetric input constraints. Nonlinear Dynamics.DOI
49. Ding Wang, Xin Li, Jin Ren, Junfei Qiao (2026). Multiagent Adaptive Critic Control With Expert Knowledge for Wastewater Treatment Plants. IEEE Transactions on Industrial Informatics.DOI
50. Shengli Du, Shuo Li, Tianli Xu, Honggui Han, Junfei Qiao (2026). Fully distributed edge-based adaptive Nash equilibrium seeking with input constraints. Science China Technological Sciences.DOI
51. Weiwei Yang, Jian Tang, Wen Yu, Junfei Qiao (2026). Bayesian optimization interval type-3 fuzzy broad compensated intelligent control for flue gas oxygen content. Engineering Applications of Artificial Intelligence.DOI
52. Anqi Fu, Fei Fan, Tianyu An, Junfei Qiao (2026). Data‐driven symbolic model predictive control of unknown nonlinear system via abstract model. Asian Journal of Control.DOI
53. Ke Gu, Hongyan Liu, Jingchao Cao, Lai-Kuan Wong, Junfei Qiao, Guangtao Zhai, Wenjun Zhang, Weisi Lin, Sam Kwong (2026). A Lightweight Deep and Wide Network for Image-Based Detection of Industrial Waste Gas. IEEE Transactions on Circuits and Systems for Video Technology.DOI
54. Guangwei Chen, Mingyue Xu, Honggui Han, Zipeng Wang, Junfei Qiao (2026). Physics-Informed Data-Driven Modeling for Bed Temperature Prediction in Supercritical CFB Boilers Under Rapid Load Changes. IEEE Transactions on Industrial Informatics.DOI
55. Shengli Du, Qiong Wu, Honggui Han, Junfei Qiao (2026). Resilient adaptive NN-based distributed consensus for nonlinear MASs subject to DoS attacks and uncertainties. Journal of the Franklin Institute.DOI
56. Mingyue Xu, Guangwei Chen, Wenhui Ma, Zipeng Wang, Junfei Qiao (2026). Fuzzy-Aware Multi-Scale Adaptive Transformer for Temporal Representation Learning in Coal-Fired Power Generation Process Monitoring. IEEE Transactions on Automation Science and Engineering.DOI
57. Mingming Zhao, Ding Wang, Junfei Qiao, Jin Ren (2026). Incremental Q -Learning for Data-Driven Adaptive Critic Control of Wastewater Treatment Processes With State Constraints. IEEE Transactions on Automation Science and Engineering.DOI
58. Feng-Liang Zhao, Zipeng Wang, Junfei Qiao, Xiao‐Wei Zhang, Huai‐Ning Wu, Tingwen Huang (2026). Stochastic Sampled-Data Fuzzy Security Control for Nonlinear Markov Jump Distributed Parameter Systems With Time-Varying Delay. IEEE Transactions on Automation Science and Engineering.DOI
59. Tianzheng Wang, Jian Tang, Hao Tian, Zi Wang, Jiakun Chen, Wen Yu, Junfei Qiao (2026). A Dual Hybrid Data-Driven Strategy for Soft Measurement of Dioxins Emission. IEEE Transactions on Instrumentation and Measurement.DOI
60. Tianli Xu, Shengli Du, Daniel W. C. Ho, Honggui Han, Junfei Qiao (2026). Adaptive Filtered Feedback-Driven Nash Equilibrium Seeking for Structurally Uncertain Nonaffine Multiagent Systems. IEEE Transactions on Automation Science and Engineering.DOI
61. Xi Meng, Siming Yue, Xiang Liu, Junfei Qiao (2026). Data-Driven Adaptive Predictive Control Under Cloud-Edge Collaboration Framework for Municipal Solid Waste Incineration Processes. IEEE Transactions on Industrial Informatics.DOI
62. Zhigang Li, Wenjing Li, Gongming Wang, Junfei Qiao (2026). A Weighted Deep Decoupling Neural Network for Imbalanced Multimode Process. IEEE Transactions on Industrial Informatics.DOI
63. Qiong Wu, Shengli Du, Honggui Han, Junfei Qiao (2026). Fixed-Time Nash Equilibrium Seeking in Nonlinear Multiagent Games: A Fully Distributed Approach. IEEE Transactions on Aerospace and Electronic Systems.DOI
64. Ding Wang, Yingyun He, X Y, Junfei Qiao (2026). Prescribed-Performance-Based Optimal Tracking Control for Autonomous Vehicle Systems: An Adaptive Critic Approach. IEEE Transactions on Vehicular Technology.DOI
65. Cuili Yang, Jiahang Zhang, Junfei Qiao, Qingrun Zhang (2026). Multirate Measurement of Total Phosphorus Removal Rate and Energy Consumption Based on Online Interpolation Echo State Network. IEEE Transactions on Instrumentation and Measurement.DOI
66. Tianzheng Wang, Jian Tang, Shengxiang Yang, Junfei Qiao (2026). DS-PSO: A Distance-Aware and Space-Mapped Particle Swarm Optimization Algorithm. IEEE Transactions on Evolutionary Computation.DOI
67. Zipeng Wang, Jin-Yang Zheng, Honggui Han, Junfei Qiao, Huai‐Ning Wu, Tingwen Huang (2026). Intermittent Sampled-Data Security Fuzzy Control for Nonlinear Coupled Delayed ODE–PDE Systems. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
68. Zhigang Li, Wenjing Li, Junfei Qiao (2026). From Feature Learning to Multiquality Prediction: An Adaptive Deep Neural Network with Complex Topology for Wastewater Treatment Process. IEEE Transactions on Industrial Informatics.DOI
69. Jiabin Zhuang, Haixu Ding, Junfei Qiao (2026). Municipal Solid Waste Incineration Digital Twin: Framework, Key Technologies, and Future Prospect. Communications in computer and information science.DOI
70. Shu Jin, Yingjie Zhang, Yubin Gao, Guangcheng Wang, Ke Gu, Junfei Qiao (2026). A Benchmark Large-Size Industrial Combustion Image Dataset for Fire and Smoke Segmentation. Communications in computer and information science.DOI
71. Jiabin Zhuang, Haixu Ding, Junfei Qiao (2026). Data-Driven Parameter Correction for Municipal Solid Waste Incineration Whole Process Simulation Model Using Adaptive Genetic Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
72. Xichao Fang, Haixu Ding, Junfei Qiao (2026). Self-Organizing Recurrent Fuzzy Neural Network With Robust Compensation for Furnace Temperature Control in MSWI Process. IEEE Transactions on Industrial Informatics.DOI
73. Zhu Li, Guangwei Chen, Wenhui Ma, Zipeng Wang, Junfei Qiao (2026). LLM-Enhanced Physics-Informed Dynamic Adaptive Multimodal Forecasting Framework for NOx Prediction in CFB Boilers. IEEE Transactions on Automation Science and Engineering.DOI
74. Shengli Du, Shuo Li, Tianli Xu, Honggui Han, Junfei Qiao (2026). Distributed Generalized Nash Equilibrium Seeking for Purely Monotone Games Under Communication Constraints. IEEE Transactions on Signal and Information Processing over Networks.DOI
75. Jiangyu Wang, Ding Wang, Derong Liu, Junfei Qiao (2026). Efficient Exploration With Diversity Guarantee Towards Evolutionary Critic Designs. IEEE Transactions on Evolutionary Computation.DOI
76. Xiaolong Wu, Han Wen-hai, Honggui Han, Junfei Qiao (2026). Self-Organizing Physics-Informed Model Predictive Control for Wastewater Treatment Systems With Carbon Emission Constraints. IEEE Transactions on Industrial Electronics.DOI
77. Yuan Wang, Ding Wang, Mingming Zhao, Junfei Qiao (2026). Evolving Consensus Control with Iterative Q-Learning for Discrete-Time Multi-Agent Systems. IEEE Transactions on Automation Science and Engineering.DOI
78. Ding Wang, Xinrui Ma, Ao Liu, Yingyun He, Junfei Qiao (2025). Adaptive optimised backstepping control of output-constrained nonlinear systems with input delay. International Journal Of Systems Science.DOI
79. Junfei Qiao, Shaobudao Yang, Anqi Fu (2025). An intelligent piecewise linear modeling approach from noisy data and its applications to water supply system. International Journal Of Systems Science, Vol. 560, No. 12.DOI
80. Anqi Fu, Shaobudao Yang, Junfei Qiao (2025). Abstract models of decentralised periodic event-triggered control systems. International Journal Of Systems Science.DOI
81. Hao Tian, Jian Tang, Loai Aljerf, Tianzheng Wang, Junfei Qiao (2025). Furnace temperature control based on interval type-2 fuzzy broad learning system for municipal solid waste incineration process. Expert Systems With Applications, Vol. 280.DOI
82. Muxuan Li, Huanqing Wang, Junfei Qiao (2025). Dynamic event-based adaptive fuzzy nonsingular fixed-time output feedback consensus control for multi-agent systems. International Journal Of Systems Science, Vol. 560, No. 3.DOI
83. Honggui Han, Mengmeng Li, Xiaolong Wu, Hongyan Yang, Junfei Qiao (2025). Filter transfer learning algorithm for nonlinear systems modeling with heterogeneous features. Expert Systems With Applications, Vol. 260.DOI
84. 李欣怡，王功明，王自鹏，乔俊飞（2025）. 基于事件触发的污水处理过程水质智能预测研究. 《化工学报》.
85. 崔璨麟，汤健，夏恒，乔俊飞（2025）. 基于模糊神经网络对抗生成的城市固废焚烧过程二噁英排放预警. 《控制理论与应用》.
86. 李梦花，王鼎，赵明明，乔俊飞（2025）. 不依赖初始容许控制的非对称约束零和博弈智能评判设计. 《控制与决策》.DOI
87. 汤健，田昊，余文，乔俊飞（2025）. 城市固废焚烧过程神经网络控制研究综述. 《自动化学报》.
88. 田昊，汤健，夏恒，王天峥，余文，乔俊飞（2025）. 基于IT2FBLS强化学习PID的MSWI过程炉膛温度控制. 《自动化学报》.
89. 王鼎，赵明明，刘德荣，乔俊飞，宋世杰（2025）. 数据驱动自适应评判控制研究进展. 《自动化学报》.
90. 汤健，崔旺旺，陈佳昆，王天峥，乔俊飞（2025）. 城市固废焚烧过程二(口恶)英全生命周期预测模型的构建:耦合数值仿真和模糊森林回归的方法. 《化工进展》.
91. 王天峥，汤健，夏恒，乔俊飞（2025）. 基于XGBoost串并联集成的数据驱动MSWI全流程模型. 《计算机集成制造系统》.
92. 黄卫民，蒙西，乔俊飞（2025）. 城市固废焚烧过程动态协同优化方法. 《中国科学:信息科学》.
93. 梁永琪，汤健，夏恒，许超凡，乔俊飞（2025）. 基于TS模糊森林回归的MSWI过程粉尘浓度预测. 《北京工业大学学报》.
94. 汤健，杨薇薇，夏恒，崔璨麟，乔俊飞（2025）. 基于扩散模型图像增强与多类特征融合的火焰燃烧状态智能识别. 《北京工业大学学报》.
95. 王博康，汤健，夏恒，王天峥，乔俊飞（2025）. 基于自组织IT2FNN的城市固废焚烧过程炉膛温度预测控制. 《北京工业大学学报》.
96. 汤健，张润雨，夏恒，乔俊飞（2025）. 基于固定窗漂移检测的MSWI过程CO排放建模. 《北京工业大学学报》.
97. 汤健，田昊，夏恒，乔俊飞（2025）. 基于区间Ⅱ型FNN的MSWI过程炉膛温度控制. 《北京工业大学学报》.
98. Junfei Qiao, Jia-Ning Zhang, Wenjing Li (2025). PCA-Based Sensor Drift Fault Detection With Distribution Adaptation in Wastewater Treatment Process. IEEE Transactions on Automation Science and Engineering.DOI
99. Wenjing Li, Chong Ding, Junfei Qiao (2025). Robust Neural Network Modeling With Small-Worldness for Effluent Total Phosphorus Prediction in Wastewater Treatment Process. IEEE Transactions on Reliability.DOI
100. Lijie Jia, Wenjing Li, Junfei Qiao, Xinliang Zhang (2025). An online self-organizing radial basis function neural network based on Gaussian Membership. Applied intelligence (Boston).DOI
101. An-Qi Fu, Tian-Yu An, Wenjing Li, Junfei Qiao (2025). An Att-LSTM based soft sensor for wastewater BOD prediction with local explanation and global feature selection using LIME. Engineering Research Express.DOI
102. Feng-Liang Zhao, Zi-Peng Wang, Junfei Qiao, Huai-Ning Wu, Tingwen Huang (2025). Fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security control for synchronization of RDNNs with stochastic actuator failures and random deception attacks. Neurocomputing.DOI
103. Jin-Yang Zheng, Dong-Jian Bo, Zi-Peng Wang, Jun-Wei Wang, Junfei Qiao (2025). Intermittent Sampled-Data Control for Coupled PDE-ODE Systems. IFAC-PapersOnLine.DOI
104. Chun-Ting Lin, Zi-Peng Wang, Chun-Yan Han, Junfei Qiao, Huai-Ning Wu (2025). Fuzzy Intermittent Security Control for Nonlinear Markov Jump Parabolic PDE Systems with Random Deception Attacks. International Journal of Fuzzy Systems.DOI
105. Zi-Peng Wang, Hong-Yu Chen, Junfei Qiao, Huai-Ning Wu, Ting-Wen Huang, Xiao-Wei Zhang (2025). Boundary Sampled-Data Synchronization of Delayed Reaction-Diffusion Neural Networks. IEEE Transactions on Cybernetics.DOI
106. Feng-Liang Zhao, Zi-Peng Wang, Fangyu Li, Junfei Qiao, Huai-Ning Wu (2025). Event-triggered sampled-data fuzzy secure control for nonlinear parabolic PDE systems subject to stochastic actuator failures and deception attacks. Fuzzy Sets Syst..DOI
107. Jin-Yang Zheng, Zi-Peng Wang, Gongming Wang, Junfei Qiao, Hong-Gui Han, Huai-Ning Wu, Ting-Wen Huang (2025). Intermittent Sampled-Data Fuzzy Control for Nonlinear Coupled ODE-PDE Systems With Stochastic Actuator Failures. IEEE transactions on fuzzy systems.DOI
108. Hong-Yu Chen, Zi-Peng Wang, Junfei Qiao, Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang (2025). Intermittent sampled-data synchronization of delayed reaction-diffusion neural networks. Neurocomputing.DOI
109. Ke Gu, Yuchen Liu, Hongyan Liu, Bo Liu, Junfei Qiao, Weisi Lin, Wenjun Zhang (2025). Air Pollution Monitoring by Integrating Local and Global Information in Self-Adaptive Multiscale Transform Domain. IEEE Transactions on Multimedia.DOI
110. Honggui Han, Yuan Meng, Xiaolong Wu, Xin Li, Junfei Qiao (2025). A Transfer Learning-Based Multimodal Feature Fusion Model for Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement.DOI
111. Ding Wang, Lingzhi Hu, Xiaoli Li, Junfei Qiao (2025). Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems. IEEE/CAA Journal of Automatica Sinica.DOI
112. Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou (2025). Large-Scale Water Quality Prediction With Deep Decomposition Architecture and Auto-Correlation. IEEE Transactions on Automation Science and Engineering.DOI
113. Ding Wang, Hongyu Ma, Jin Ren, Honggui Han, Junfei Qiao (2025). Online Digital Twin Adaptive Critic Design With Long Short-Term Memory for Wastewater Treatment Plants. IEEE Transactions on Automation Science and Engineering.DOI
114. Zipeng Wang, Bo-Ming Chen, Feng-Liang Zhao, Junfei Qiao, Huai‐Ning Wu, Tingwen Huang, Guangwei Chen (2025). Adaptive Event-Triggered Sampled-Data Fuzzy Security Control for Nonlinear Delayed DPSs With DoS Attacks and Stochastic Actuator Failures. IEEE Transactions on Automation Science and Engineering.DOI
115. Gongming Wang, Xinyi Li, Ke Gu, Hong Chen, Honggui Han, Junfei Qiao (2025). Neurodynamics-Driven Model Predictive Control With Soft-Measurement for Desulfurization System. IEEE Transactions on Automation Science and Engineering.DOI
116. Ruyue Yang, Ding Wang, Junfei Qiao (2025). Optimizing Wastewater Treatment Control Using Policy-Constrained Offline Reinforcement Learning and Lyapunov Density Model. IEEE Transactions on Automation Science and Engineering.DOI
117. Weiwei Yang, Jian Tang, Hao Tian, Wen Yu, Junfei Qiao (2025). Flue Gas Oxygen Content Control Based on Interval Type-2 Fuzzy Broad Learning System and PID for MSWI Process. IEEE Transactions on Automation Science and Engineering.DOI
118. Ke Gu, Hongyan Liu, Yu-bin Gao, Yuchen Liu, Junfei Qiao, Guangtao Zhai, Wenjun Zhang (2025). Infrared Image Quality Evaluation: Benchmark Database and Computational Model. IEEE Transactions on Instrumentation and Measurement.DOI
119. Ding Wang, Zeqiang Yuan, Guohan Tang, Jiangyu Wang, Junfei Qiao (2025). Evolution-Guided Q-Learning With Dual Swarm Intelligence for Model-Free Optimal Control. IEEE Transactions on Automation Science and Engineering.DOI
120. Chaofan Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2025). Dioxin Emission Detection Based on Dynamic Pruning Online Ensemble Binary Tree Algorithm. IEEE Transactions on Automation Science and Engineering.DOI
121. Junfei Qiao, Chunchang Xiao, Anqi Fu (2025). An Edge Cloud Collaborative Leakage Detection Approach for Urban Water Distribution Systems. IEEE Transactions on Instrumentation and Measurement.DOI
122. Ding Wang, Ning Gao, Xin Li, Kai Ye, Junfei Qiao (2025). Intelligent Critic Design With Policy Transfer for Wastewater Treatment Processes. IEEE Transactions on Automation Science and Engineering.DOI
123. Jin Ren, Ding Wang, Menghua Li, Junfei Qiao (2025). Discounted Stable Adaptive Critic Design for Zero-Sum Games With Application Verifications. IEEE Transactions on Automation Science and Engineering.DOI
124. R. Zhang, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2025). CO Emission Prediction for MSWI Process Based on Dual-Space Nested Dual-Window Drift Detection. IEEE Transactions on Instrumentation and Measurement.DOI
125. Ding Wang, Xin Li, Hua Wang, Junfei Qiao (2025). Safe Optimal Tracking Control via Multi-Step Critic Learning for Unknown Nonlinear Systems. IEEE Transactions on Automation Science and Engineering.DOI
126. Guohan Tang, Ding Wang, Junfei Qiao (2025). Model-Free Nonlinear Optimal Control With Utility Reshaping via Iterative Q-Learning. IFAC-PapersOnLine.DOI
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129. Heng Xia, Junfei Qiao (2025). High-Precision Modeling of Industrial Process Using Lightweight Deep Forest Regression With Its Application. IEEE Transactions on Automation Science and Engineering.DOI
130. Ding Wang, Zeqiang Yuan, Ao Liu, Qinna Hu, Junfei Qiao (2025). Static and Dynamic Event-Triggered Control for Disturbed Interconnected Systems Through Adaptive Critic Designs. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
131. Heng Xia, Junfei Qiao, Xi Meng, Yongyang Xiong, Keyou You (2025). Deep Random Forests With Adaptive Piecewise Linearization for Approximating Dynamic Nonlinear Systems and Industrial Applications. IEEE Transactions on Industrial Electronics.DOI
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134. Wen‐Wei Li, Nan Guo, Tiewei Shang, Yueyang Sun, Dapeng Li, Xiaolong Gao, Wei Xiong, Junfei Qiao (2025). Knee point-guided heterogeneous surrogate-assisted optimization for multi-objective coal gasification system. Chinese Journal of Chemical Engineering.DOI
135. Guangwei Chen, Wenhui Ma, Honggui Han, Mingyue Xu, Zipeng Wang, Junfei Qiao (2025). Dynamic Correlation-Guided Graph Spatiotemporal Learning for Bed Temperature Prediction of Circulating Fluidized Beds. IEEE Transactions on Industrial Informatics.DOI
136. Ding Wang, Peng Xin, Hua Wang, Ao Liu, Junfei Qiao (2025). Accelerated Intelligent Critic Tracking Predictive Control With Data Experience Replay for Unknown Nonlinear Systems. IEEE Transactions on Cybernetics.DOI
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138. Yingbo Xie, Junfei Qiao, Ding Wang, Manman Yuan (2025). A Novel Self-Adjusting Dual-Mode Evolutionary Framework for Multi-Task Optimization. IEEE/CAA Journal of Automatica Sinica.DOI
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143. Honggui Han, Y A Liu, Ying Hou, Junfei Qiao (2025). Local Regularity Model for Multimodal Multiobjective Optimization. IEEE Transactions on Cybernetics.DOI
144. Allam Maalla, Guangwei Chen, Junfei Qiao (2025). Process simulation and multi-criteria investigation and comparison of a thermally waste management for a gas turbine power plant. Renewable Energy.DOI
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149. Haoyuan Sun, Hao-Ran Mu, Jian Qiao Sun, Honggui Han, Junfei Qiao (2025). Output Feedback Synthesis for Networked Control Systems With Packet Dropouts and Multiple Probability Sampling Periods: The Stochastic Communication Protocol Case. IEEE Transactions on Cybernetics.DOI
150. Honggui Han, Han‐Qian Hou, Haoyuan Sun, Junfei Qiao, Tianbao Li (2025). Fuzzy Neural Network-Based Robust Model-Free Adaptive Fault-Tolerant Control for Wastewater Treatment Process. IEEE Transactions on Cybernetics.DOI
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152. Junfei Qiao, Weimin Huang, Xi Meng (2025). Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process. IEEE Transactions on Evolutionary Computation.DOI
153. Canlin Cui, Jian Tang, Junfei Qiao, Heng Xia (2025). A novel data-driven sample augmentation method using interpretable space and adversarial mechanism for dioxin risk warning. Engineering Applications of Artificial Intelligence.DOI
154. Yingying Cui, Xi Meng, Junfei Qiao (2025). Dynamic sequential transfer optimization for municipal solid waste incineration process under multiple operating conditions. Engineering Applications of Artificial Intelligence.DOI
155. Ding Wang, Jin Ren, Haiming Huang, Junfei Qiao (2025). Particle Swarm Optimization for Adaptive-Critic Feedback Control with Power System Applications. Chinese Journal of Electronics.DOI
156. Ding Wang, Lingzhi Hu, Junfei Qiao (2025). Hybrid Event-Triggered Control with Stability Analysis. IEEE/CAA Journal of Automatica Sinica.DOI
157. Jing Bi, Xiangxi Wu, Haitao Yuan, Ziqi Wang, Daming Wei, Renren Wu, Jia Zhang, Junfei Qiao, Rajkumar Buyya (2025). STMF: A Spatiotemporal Multimodal Fusion Model for Long-Term Water Quality Forecasting. IEEE Internet of Things Journal.DOI
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160. Junfei Qiao, Mingyue Xu, Guangwei Chen, Zipeng Wang (2025). Dual Event-Triggered Nonlinear Fuzzy Model Predictive Control of a Boiler–Turbine System in the Thermal Power Plant. IEEE Transactions on Industrial Informatics.DOI
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173. Honggui Han, Zecheng Tang, Xiaolong Wu, Hongyan Yang, Junfei Qiao (2025). Robust Reconstructed Neural Network With Spectral Reshaping Activation. IEEE Transactions on Cybernetics.DOI
174. Ding Wang, Yuan Wang, Mingming Zhao, Junfei Qiao (2025). Iterative Q -Learning Design for Zero-Sum Games With Evolving Policies. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
175. Honggui Han, Yushuang Wang, Zheng Liu, Haoyuan Sun, Junfei Qiao (2025). Multispatial-Scale Optimal Control With Multisource Information for Nitrification in Wastewater Treatment Process. IEEE Transactions on Industrial Informatics.DOI
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190. Jingyuan Zhan, Liguo Zhang, Junfei Qiao (2025). Boundary Consensus of Networked Hyperbolic Systems of Conservation Laws. IEEE Transactions on Automatic Control.DOI
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231. Gongming Wang, Hong Chen, Suling Jiang, Hong-Gui Han, Junfei Qiao (2024). Neurodynamics-Driven Prediction Model for State Evolution of Coastal Water Quality. IEEE Transactions on Instrumentation and Measurement.DOI
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239. Ke Gu, Yuchen Liu, Hongyan Liu, Bo Liu, Lai-Kuan Wong, Weisi Lin, Junfei Qiao (2024). Model-Data Jointly Driven Method for Airborne Particulate Matter Monitoring. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
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241. Haoyuan Sun, Shan Wang, Shengli Du, Honggui Han, Junfei Qiao (2024). Fuzzy Stabilization of Networked Nonlinear Systems With Multiple Stochastic Transmission Intervals, Packet Losses, and FDI Attacks. IEEE Transactions on Fuzzy Systems.DOI
242. Yingbo Xie, Junfei Qiao, Ding Wang (2024). A weighted knowledge extraction strategy for dynamic multi-objective optimization. Swarm and Evolutionary Computation.DOI
243. Mingming Zhao, Ding Wang, Jin Ren, Junfei Qiao (2024). Integrated Online Q-Learning Design for Wastewater Treatment Processes. IEEE Transactions on Industrial Informatics.DOI
244. Guangyuan Pan, Chunhao Liu, Gongming Wang, Hao Wei, Junfei Qiao (2024). A Feature Importance Analyzable Resilient Deep Neural Network for Road Safety Performance Function Surrogate Modeling. IEEE Transactions on Industrial Informatics.DOI
245. Yuxin Jia, Nan Guo, Wenlu Li, Yueyang Sun, Xiaolong Gao, Junfei Qiao, Wei Hua Xiong (2024). Research on Atmospheric Pollutant Concentration Prediction Model Based on the BO-GRU Neural Network with MIV Algorithm. China Automation Congress (CAC).DOI
246. Xichao Fang, Xi Meng, Junfei Qiao (2024). Event-Triggered Self-Organizing T-S Fuzzy Neural Network Controller for Furnace Temperature in Municipal Solid Waste Incineration Process. China Automation Congress (CAC).DOI
247. Jiahui Liu, Nan Guo, Yi-Xin Peng, Wenlu Li, Junfei Qiao, Xiaolong Gao, Wei Xiong (2024). Adaptive sliding mode control of petrochemical flare combustion process based on radial basis function network. Chinese Journal of Chemical Engineering.DOI
248. Hongyu Ma, Ding Wang, Jin Ren, Junfei Qiao (2024). Self-organizing neural intelligent control for nonlinear discrete-time systems with particle swarm optimization. Nonlinear Dynamics.DOI
249. Tianzheng Wang, Jian Tang, Loai Aljerf, Junfei Qiao, Muaaz Mutaz Alajlani (2024). Emission reduction optimization of multiple flue gas pollutants in Municipal solid waste incineration power plant. Fuel.DOI
250. Jing Bi, Ming Yuan, Haitao Yuan, Ziqi Wang, Junfei Qiao (2024). Water Quality Anomaly Detection with Dual Sliding Windows and Convolutional LSTM. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
251. Ding Wang, Lingzhi Hu, Hua Wang, Junfei Qiao (2024). Nonperiodic and Periodic Event-Triggered Online H∞ Control for Constrained Nonlinear Systems. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
252. Haoyuan Sun, Honggui Han, Jian Qiao Sun, Junfei Qiao (2024). Leader-Following Sampled-Data Consensus of Multiagent Systems With Successive Packet Losses and Stochastic Sampling. IEEE Transactions on Cybernetics.DOI
253. Menghua Li, Ding Wang, Junfei Qiao (2024). An Improved Trajectory Tracking Mechanism With Adaptive Critic for Event-Based Multiplayer Zero-Sum Games. IEEE Transactions on Automation Science and Engineering.DOI
254. Hao Tian, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2024). Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control. IEEE Transactions on Industrial Informatics.DOI
255. Shengli Du, Jin Han, Haoyuan Sun, Honggui Han, Junfei Qiao (2024). Fully distributed practical fixed-time fault-tolerant consensus of nonlinear multiagent systems. Journal of the Franklin Institute.DOI
256. Wenjing Li, Can Chen, Junfei Qiao (2024). A Hub-Based Self-Organizing Algorithm for Feedforward Small-World Neural Network. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
257. Dingyuan Chen, Cuili Yang, Dapeng Li, Junfei Qiao (2024). Prescribed Performance Fault-Tolerant Optimal Control for Wastewater Treatment Process With Multivariable. IEEE Transactions on Fuzzy Systems.DOI
258. Ke Gu, Hongyan Liu, Yuchen Liu, Junfei Qiao, Guangtao Zhai, Wenjun Zhang (2024). Perceptual Information Fidelity for Quality Estimation of Industrial Images. IEEE Transactions on Circuits and Systems for Video Technology.DOI
259. Yingying Cui, Xi Meng, Junfei Qiao (2024). Multifidelity surrogates-assisted multi-objective particle swarm algorithm for offline data-driven optimization. Applied Intelligence.DOI
260. Tianzheng Wang, Jian Tang, Heng Xia, Cuili Yang, Wen Yu, Junfei Qiao (2024). Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process. Engineering Applications of Artificial Intelligence.DOI
261. Ziqi Wang, Xiangxi Wu, Xingyang Chang, Renren Wu, Jing Bi, Junfei Qiao (2024). Spatial-Temporal Graph Fusion Transformer for Long-term Water Quality Prediction. International Conference on Industrial Artificial Intelligence (IAI).DOI
262. Honggui Han, Yan Wang, Haoyuan Sun, Zheng Liu, Junfei Qiao (2024). Data-Driven Tube-Based Robust Predictive Control for Constrained Wastewater Treatment Process. IEEE Transactions on Cybernetics.DOI
263. Huanqing Wang, Zhu Meng, Junfei Qiao, Siwen Liu (2024). Command Filtered-Based Adaptive Predefined-Time Control for Uncertain Nonlinear Systems With Applications to RLC Circuit. IEEE Transactions on Circuits and Systems I Regular Papers.DOI
264. Ao Liu, Ding Wang, Junfei Qiao (2024). An advanced robust integral reinforcement learning scheme with the fuzzy inference system. International Journal of Robust and Nonlinear Control.DOI
265. Simeng Wang, Chengxu Zhou, Ke Gu, Junfei Qiao (2024). DDSNet: A dual-channel dual-mode smoke detection network for lightweight industrial scenarios.DOI
266. Jin Ru Han, Xiaolong Gao, Wei Xiong, Shengli Du, Junfei Qiao (2024). Fully Distributed Consensus of Multiagent Systems under Uncertain Network Topology.DOI
267. Weimin Huang, Xi Meng, Junfei Qiao (2024). Dynamic Multiobjective Optimization for Municipal Solid Waste Incineration Using Dual Archive Multiobjective Competitive Swarm Optimization Algorithm.DOI
268. Xinyu Wei, Anqi Fu, Junfei Qiao (2024). Design of Abstract Controller for Symbolic Abstractions. 《第43届中国控制会议论文集（1）》.DOI
269. Ding Wang, Haiming Huang, Derong Liu, Mingming Zhao, Junfei Qiao (2024). Evolution-Guided Adaptive Dynamic Programming for Nonlinear Optimal Control. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
270. Honggui Han, Feifan Yang, Haoyuan Sun, Junfei Qiao (2024). Adaptive type-2 fuzzy-neural switching control for wastewater treatment process under several operating conditions. Information Sciences.DOI
271. Honggui Han, Zecheng Tang, Xiaolong Wu, Hongyan Yang, Junfei Qiao (2024). Time-Aware Fuzzy Neural Network Based on Frequency-Enhanced Modulation Mechanism. IEEE Transactions on Fuzzy Systems.DOI
272. Guangwei Chen, Rafael Vázquez, Junfei Qiao, Miroslav Krstić (2024). Block Backstepping for Isotachic Hyperbolic PIDE-ODE Systems. European Control Conference (ECC).DOI
273. Junfei Qiao, Dapeng Li, Honggui Han (2024). Neural Network-Based Adaptive Fault-Tolerant Control of Dissolved Oxygen and Nitrate Concentrations in WWTPs. IEEE Transactions on Industrial Informatics.DOI
274. Shengli Du, Zexing Zhu, Xuefang Wang, Honggui Han, Junfei Qiao (2024). Real-time local path planning strategy based on deep distributional reinforcement learning. Neurocomputing.DOI
275. Honggui Han, Yushuang Wang, Zheng Liu, Haoyuan Sun, Junfei Qiao (2024). Knowledge-Data Driven Optimal Control for Nonlinear Systems and Its Application to Wastewater Treatment Process. IEEE Transactions on Cybernetics.DOI
276. Lingzhi Hu, Ding Wang, Junfei Qiao (2024). Static/dynamic event-triggered learning control for constrained nonlinear systems. Nonlinear Dynamics.DOI
277. Wen Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2024). Multi-objective PSO semi-supervised random forest method for dioxin soft sensor. Engineering Applications of Artificial Intelligence.DOI
278. Haoyuan Sun, Shuang Hou, Shengli Du, Honggui Han, Junfei Qiao (2024). Sampled-Data H ∞ Dynamic Output-Feedback Control for NCSs With Successive Packet Losses and Stochastic Sampling. IEEE Transactions on Cybernetics.DOI
279. Jiangyu Wang, Ding Wang, Mingming Zhao, Junfei Qiao (2024). Data-Driven Q-Learning Control for Nonlinear Systems Involving Parallel Multi-Step Deduction. IEEE Data Driven Control and Learning Systems Conference (DDCLS).DOI
280. Menghua Li, Ding Wang, Jin Ren, Junfei Qiao (2024). Advanced optimal tracking integrating a neural critic technique for asymmetric constrained zero-sum games. Neural Networks.DOI
281. Peng Xin, Ding Wang, Ao Liu, Junfei Qiao (2024). Neural critic learning with accelerated value iteration for nonlinear model predictive control. Neural Networks.DOI
282. Mingming Zhao, Ding Wang, Junfei Qiao (2024). Stabilizing value iteration Q-learning for online evolving control of discrete-time nonlinear systems. Nonlinear Dynamics.DOI
283. Dapeng Li, Honggui Han, Junfei Qiao (2024). Double-Layer Constraint Structure-Based Adaptive Neural Tracking Control for Nonlinear Strict-Feedback Systems. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
284. Yuan Wang, Ding Wang, Mingming Zhao, Nan Liu, Junfei Qiao (2024). Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate. Neural Networks.DOI
285. Yuan Wang, Ding Wang, Mingming Zhao, Ao Liu, Junfei Qiao (2024). Adjustable iterative Q-learning for advanced neural tracking control with stability guarantee. Neurocomputing.DOI
286. Ding Wang, Hongyu Ma, Jin Ren, Ning Gao, Junfei Qiao (2024). Adaptive critic design with weight allocation for intelligent learning control of wastewater treatment plants. Engineering Applications of Artificial Intelligence.DOI
287. Zheng Liu, Honggui Han, Junfei Qiao, Zeyu Ma (2024). Knowledge-Guided Adaptive Neuro-Fuzzy Self-Healing Control for Sludge Bulking in Wastewater Treatment Process. IEEE Transactions on Fuzzy Systems.DOI
288. Ding Wang, Hongyu Ma, Junfei Qiao (2024). Multilayer adaptive critic design with digital twin for data-driven optimal tracking control and industrial applications. Engineering Applications of Artificial Intelligence.DOI
289. Dapeng Li, Honggui Han, Junfei Qiao (2024). Composite Boundary Structure-Based Tracking Control for Nonlinear State-Dependent Constrained Systems. IEEE Transactions on Automatic Control.DOI
290. Xiaolong Wu, Wei Wang, Hongyan Yang, Honggui Han, Junfei Qiao (2024). Multitasking Feedback Optimization Algorithm Based on an Evolutionary State Estimator. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
291. Runyu Cathy Zhang, Jian Tang, Heng Xia, Jiakun Chen, Wen Yu, Junfei Qiao (2024). Heterogeneous ensemble prediction model of CO emission concentration in municipal solid waste incineration process using virtual data and real data hybrid-driven. Journal of Cleaner Production.DOI
292. Honggui Han, Yucheng Liu, Ying Hou, Junfei Qiao (2024). Data-Driven Robust Multimodal Multiobjective Particle Swarm Optimization. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
293. Xin Li, Ding Wang, Mingming Zhao, Junfei Qiao (2024). Reinforcement learning control with n-step information for wastewater treatment systems. Engineering Applications of Artificial Intelligence.DOI
294. Heng Xia, Jian Tang, Wen Yu, Junfei Qiao (2024). Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process. IEEE Transactions on Industrial Electronics.DOI
295. Mingming Zhao, Ding Wang, Menghua Li, Ning Gao, Junfei Qiao (2024). A new Q‐function structure for model‐free adaptive optimal tracking control with asymmetric constrained inputs. International Journal of Adaptive Control and Signal Processing.DOI
296. Kang Li, Limin Zhang, Junfei Qiao (2024). Multi-task stochastic configuration network with autonomous linking and its application in wastewater treatment processes. Information Sciences.DOI
297. Runyu Cathy Zhang, Jian Tang, Heng Xia, Xiaotong Pan, Wen Yu, Junfei Qiao (2024). CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization. Neural Computing and Applications.DOI
298. Junfei Qiao, Mingming Zhao, Ding Wang, Menghua Li (2024). Action-Dependent Heuristic Dynamic Programming With Experience Replay for Wastewater Treatment Processes. IEEE Transactions on Industrial Informatics.DOI
299. Ding Wang, Yuan Wang, Mingming Ha, Jin Ren, Junfei Qiao (2024). Improved value iteration for nonlinear tracking control with accelerated learning. International Journal of Robust and Nonlinear Control.DOI
300. Heng Xia, Jian Tang, Xiaotong Pan, Wen Yu, Junfei Qiao (2024). Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes. IEEE Transactions on Instrumentation and Measurement.DOI
301. Ding Wang, Wenqian Fan, Menghua Li, Junfei Qiao (2023). Decentralised tracking control based on critic learning for nonlinear disturbed interconnected systems. International Journal Of Systems Science, Vol. 540, No. 5.DOI
302. Yin Su, Cuili Yang, Junfei Qiao (2023). Self-organizing pipelined recurrent wavelet neural network for time series prediction. Expert Systems With Applications, Vol. 214.DOI
303. Lingzhi Hu, Ding Wang, Jin Ren, Jiangyu Wang, Junfei Qiao (2023). An event-triggered neural critic technique for nonzero-sum game design with control constraints. International Journal Of Systems Science, Vol. 540, No. 2.DOI
304. 孙剑，蒙西，乔俊飞（2023）. 城市固废焚烧过程烟气含氧量自适应预测控制. 《自动化学报》.DOI
305. 陈佳昆，汤健，夏恒，乔俊飞（2023）. 城市固废炉排炉焚烧过程二英排放浓度数值仿真. 《化工进展》.
306. 蒙西，彭亚惠，孙子健，乔俊飞（2023）. 城市固废焚烧过程炉膛温度模型预测控制. 《第34届中国过程控制会议论文集》.DOI
307. 蒙西，王岩，孙子健，乔俊飞（2023）. 基于注意力模块化神经网络的城市固废焚烧过程氮氧化物排放预测. 《第34届中国过程控制会议论文集》.DOI
308. 霍煜，王鼎，乔俊飞（2023）. 基于单网络评判学习的非线性系统鲁棒跟踪控制. 《控制与决策》.DOI
309. 李文静，李治港，乔俊飞（2023）. 基于突触巩固机制的前馈小世界神经网络设计. 《自动化学报》.DOI
310. 李梦花，王鼎，乔俊飞（2023）. 不对称约束多人非零和博弈的自适应评判控制. 《控制理论与应用》.
311. 李泽东，郭楠，乔俊飞（2023）. 工业放空火炬燃烧过程分析与氧气量预测方法研究. 《第34届中国过程控制会议论文集》.DOI
312. 汤健，夏恒，余文，乔俊飞（2023）. 城市固废焚烧过程智能优化控制研究现状与展望. 《自动化学报》.DOI
313. 王鼎，胡凌治，赵明明，哈明鸣，乔俊飞（2023）. 未知非线性零和博弈最优跟踪的事件触发控制设计. 《自动化学报》.DOI
314. 权利敏，杨翠丽，乔俊飞（2023）. 数据驱动的溶解氧浓度在线自组织控制方法. 《自动化学报》.DOI
315. 刘佳晖，郭楠，彭益新，徐明月，顾锞，乔俊飞（2023）. 机理与图像混合建模的石化火炬精确控制系统设计. 《第34届中国过程控制会议论文集》.DOI
316. 崔莺莺，蒙西，乔俊飞（2023）. 城市固废焚烧过程风量智能优化设定方法. 《控制与决策》.DOI
317. 夏恒，汤健，崔璨麟，乔俊飞（2023）. 基于宽度混合森林回归的城市固废焚烧过程二噁英排放软测量. 《自动化学报》.DOI
318. 彭益新，郭楠，刘佳晖，徐明月，顾锞，乔俊飞（2023）. 机理与数据混合驱动的石化火炬燃烧状态精确建模研究. 《第34届中国过程控制会议论文集》.DOI
319. 丁海旭，汤健，乔俊飞（2023）. 城市固废焚烧过程数据驱动建模与自组织控制. 《自动化学报》.DOI
320. 乔俊飞，黄卫民，丁海旭，于涛（2023）. 复杂工业过程特征建模方法及应用研究. 《控制与决策》.DOI
321. 韩红桂，秦晨辉，孙浩源，乔俊飞（2023）. 城市污水处理过程自适应滑模控制. 《自动化学报》.DOI
322. Heng Xia, Jian Tang, Wen Yu, Junfei Qiao (2023). Dioxin emission concentration modeling using simulator-based mechanism model and improved regression decisions tree. 《第34届中国过程控制会议论文集》.DOI
323. Hao-Kun Wang, Zi-Peng Wang, Xuehua Yan, Junfei Qiao (2023). Robust Sampled-Data Control for Uncertain Markov Jumping Parabolic PDE Systems. 《第35届中国控制与决策会议论文集（7）》.DOI
324. 汤健，徐雯，夏恒，乔俊飞（2023）. 面向城市固废焚烧过程的缺失数据填充及应用. 《北京工业大学学报》.
325. 王天峥，汤健，夏恒，乔俊飞（2023）. 城市固废焚烧过程的回路控制半实物仿真平台. 《系统仿真学报》.DOI
326. 于涛，丁海旭，黄卫民，乔俊飞（2023）. 面向复杂异质数据的集成学习研究综述. 《控制工程》.
327. 何海军，蒙西，汤健，乔俊飞（2023）. 城市固废焚烧过程炉膛温度建模与控制研究. 《控制工程》.
328. 杨爽，李文静，乔俊飞（2023）. 基于ILSTM-AMSGD神经网络的时间序列预测方法. 《控制工程》.
329. 汤健，崔璨麟，夏恒，王丹丹，乔俊飞（2023）. 基于主动学习机制GAN的MSWI过程二噁英排放风险预警模型. 《北京工业大学学报》.
330. 乔俊飞（2023）. 城市固废焚烧过程智能优化控制. 《化学工业出版社》.
331. Zi-Peng Wang, Qian-Qian Li, Junfei Qiao, Huai-Ning Wu, Ting-Wen Huang (2023). Fuzzy Boundary Sampled-Data Control for Nonlinear Parabolic DPSs. IEEE Transactions on Cybernetics.DOI
332. Honggui Han, Feifan Yang, Haoyuan Sun, Junfei Qiao (2023). Robust Type-2 Fuzzy Neural Control for Wastewater Treatment Process With External Disturbances. IEEE Transactions on Automation Science and Engineering.DOI
333. Rafael Vázquez, Guangwei Chen, Junfei Qiao, Miroslav Krstić (2023). The Power Series Method to Compute Backstepping Kernel Gains: Theory and Practice. Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes.DOI
334. Anqi Fu, Yan Zhang, Junfei Qiao (2023). Dynamic switched periodic event‐triggered control systems under denial‐of‐service attacks. International Journal of Robust and Nonlinear Control.DOI
335. Shuang Yang, Wenjing Li, Junfei Qiao (2023). A WSFA-based adaptive feature extraction method for multivariate time series prediction. Neural Computing and Applications.DOI
336. Shaobudao Yang, Anqi Fu, Junfei Qiao (2023). Data-Driven Based System Identification for Linear Time-Invariant Systems. China Automation Congress (CAC).DOI
337. Q.H. Sun Y. Hou, Xi Meng, Junfei Qiao (2023). Multiobjective Operation Optimization for Municipal Solid Waste Incineration Process. China Automation Congress (CAC).DOI
338. Zijian Sun, Xi Meng, Junfei Qiao (2023). An IT2FNN with a Novel Hierarchical Learning Algorithm for Nonlinear System Modeling. China Automation Congress (CAC).DOI
339. Xinyu Wei, Anqi Fu, Fan Fei, Shaobudao Yang, Junfei Qiao (2023). Optimization Study of Water Treatment Plant Surveillance Camera Arrangement. China Automation Congress (CAC).DOI
340. Yunlong Su, Rui Du, Jiao Wang, Junfei Qiao, Xiyao Li, Xiaofei Xue, Zhi-Qi Cao, Yongzhen Peng (2023). Successful start-up of a novel integrated denitrifying phosphorus removal and partial denitrification coupled with anammox process for simultaneous nitrogen and phosphorus removal with fully ordinary suspended sludge. Chemical Engineering Journal.DOI
341. Ting Shi, Pengyu Li, Wu Yang, Ailin Qi, Junfei Qiao (2023). Application of TCN-biGRU neural network in $$ PM_{2.5}$$ concentration prediction. Environmental Science and Pollution Research.DOI
342. Shengli Du, Mingming Zhao, Xuefang Wang, Honggui Han, Junfei Qiao (2023). Dual‐mode event‐triggered predictive control for nonlinear systems with bounded disturbances. International Journal of Robust and Nonlinear Control.DOI
343. Cuili Yang, Danlei Wang, Jian Tang, Junfei Qiao, Wen Yu (2023). Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization. Information Sciences.DOI
344. Haixu Ding, Junfei Qiao, Weimin Huang, Tao Yu (2023). Event-triggered fuzzy neural multivariable control for a municipal solid waste incineration process. Science China Technological Sciences.DOI
345. Weimin Huang, Haixu Ding, Junfei Qiao (2023). Adaptive multi-objective competitive swarm optimization algorithm based on kinematic analysis for municipal solid waste incineration. Applied Soft Computing.DOI
346. Ding Wang, Ning Gao, Mingming Ha, Mingming Zhao, Junlong Wu, Junfei Qiao (2023). Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification. IEEE Transactions on Cybernetics.DOI
347. Jing Bi, Yibo Li, Xingyang Chang, Haitao Yuan, Junfei Qiao (2023). Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
348. Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao (2023). Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
349. Ding Wang, Peng Xin, Jin Ren, Junfei Qiao (2023). Adaptive Critic Tracking Design for Data-Based Nonaffine Predictive Control. IEEE Transactions on Automation Science and Engineering.DOI
350. Honggui Han, Chengcheng Feng, Haoyuan Sun, Junfei Qiao (2023). Self-Organizing Fuzzy Terminal Sliding Mode Control for Wastewater Treatment Processes. IEEE Transactions on Automation Science and Engineering.DOI
351. Yu Huo, Ding Wang, Menghua Li, Junfei Qiao (2023). Decentralized Event-Triggered Asymmetric Constrained Control Through Adaptive Critic Designs for Nonlinear Interconnected Systems. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
352. Xiaotong Pan, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2023). Combustion state identification of MSWI processes using ViT-IDFC. Engineering Applications of Artificial Intelligence.DOI
353. Ding Wang, Zihang Zhou, Ao Liu, Junfei Qiao (2023). Event-triggered robust adaptive critic control for nonlinear disturbed systems. Nonlinear Dynamics.DOI
354. Jiangyu Wang, Ding Wang, Xin Li, Junfei Qiao (2023). Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games. Neural Networks.DOI
355. Xin Li, Ding Wang, Jiangyu Wang, Junfei Qiao (2023). Adaptive critic control with multi‐step policy evaluation for nonlinear zero‐sum games. International Journal of Robust and Nonlinear Control.DOI
356. Jun Hui Fu, Junfei Qiao, Kok Lay Teo, Rolf Findeisen (2023). Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization. IEEE Transactions on Neural Networks and Learning Systems.DOI
357. Junfei Qiao, Ruyue Yang, Ding Wang (2023). Offline Data-Driven Adaptive Critic Design With Variational Inference for Wastewater Treatment Process Control. IEEE Transactions on Automation Science and Engineering.DOI
358. Anqi Fu, Sijia Chen, Junfei Qiao, Chengpu Yu (2023). Periodic Event-Triggered CACC and Communication Co-design for Vehicle Platooning. ACM Transactions on Cyber-Physical Systems.DOI
359. Yingying Cui, Xi Meng, Junfei Qiao (2023). Data-Driven Multi-objective Optimization for Municipal Solid Waste Incineration Process. International Conference on Industrial Artificial Intelligence (IAI).DOI
360. Kang Li, Cuili Yang, Dapeng Li, Junfei Qiao (2023). Soft Sensor of Effluent Ammonia Nitrogen Concentration Based on Modular Stochastic Configuration Networks. International Conference on Industrial Artificial Intelligence (IAI).DOI
361. Ding Wang, Jiangyu Wang, Mingming Zhao, Peng Xin, Junfei Qiao (2023). Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control. IEEE/CAA Journal of Automatica Sinica.DOI
362. Zipeng Wang, Xu Zhang, Junfei Qiao, Huai‐Ning Wu, Tingwen Huang (2023). Synchronization of reaction–diffusion neural networks with random time-varying delay via intermittent boundary control. Neurocomputing.DOI
363. Feng-Liang Zhao, Zipeng Wang, Junfei Qiao, Huai‐Ning Wu, Tingwen Huang (2023). Adaptive event-triggered extended dissipative synchronization of delayed reaction–diffusion neural networks under deception attacks. Neural Networks.DOI
364. Haoyuan Sun, Honggui Han, Jian Qiao Sun, Junfei Qiao (2023). Observer‐based sampled‐data control for networked systems with consecutive packet dropouts. International Journal of Robust and Nonlinear Control.DOI
365. Shengli Du, Peixi Chen, Honggui Han, Junfei Qiao (2023). Dissolved oxygen concentration control in wastewater treatment process based on reinforcement learning. Science China Technological Sciences.DOI
366. Xin Guo, Wenjing Li, Junfei Qiao (2023). A modular neural network with empirical mode decomposition and multi-view learning for time series prediction. Soft Computing.DOI
367. Haoshan Duan, Xi Meng, Jian Tang, Junfei Qiao (2023). Time-series prediction using a regularized self-organizing long short-term memory neural network. Applied Soft Computing.DOI
368. Xin Guo, Wenjing Li, Junfei Qiao (2023). A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction. Applied Soft Computing.DOI
369. Mingming Zhao, Ding Wang, Junfei Qiao, Ning Gao, Peng Xin (2023). Stability Analysis of Model-Free Control under Iterative Q-learning Algorithms. International Conference on Control Science and Systems Engineering (ICCSSE).DOI
370. Menghua Li, Ding Wang, Junfei Qiao (2023). Event-Based Intelligent Critic Design for Nonlinear Disturbed Multi-Input Systems. International Conference on Control Science and Systems Engineering (ICCSSE).DOI
371. Haoyuan Sun, Honggui Han, Junfei Qiao (2023). Observer-based control for networked Takagi-Sugeno fuzzy systems with stochastic packet losses. Information Sciences.DOI
372. Zipeng Wang, Feng-Liang Zhao, Huai‐Ning Wu, Junfei Qiao, Tingwen Huang (2023). H ∞ fuzzy intermittent boundary control for nonlinear parabolic distributed parameter systems. Journal of the Franklin Institute.DOI
373. Jing Bi, Jiahui Zhai, Haitao Yuan, Ziqi Wang, Junfei Qiao, Jia Zhang, MengChu Zhou (2023). Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.DOI
374. Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou (2023). Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.DOI
375. Ding Wang, Xin Li, Mingming Zhao, Junfei Qiao (2023). Adaptive Critic Control Design With Knowledge Transfer for Wastewater Treatment Applications. IEEE Transactions on Industrial Informatics.DOI
376. Mingming Zhao, Ding Wang, Junfei Qiao, Mingming Ha, Jin Ren (2023). Advanced value iteration for discrete-time intelligent critic control: A survey. Artificial Intelligence Review.DOI
377. Xi Meng, Yin Zhang, Limin Quan, Junfei Qiao (2023). A self-organizing fuzzy neural network with hybrid learning algorithm for nonlinear system modeling. Information Sciences.DOI
378. Xinyu Wei, Anqi Fu, Junfei Qiao (2023). Traffic models of periodic event-triggered quantized control systems. Nonlinear Analysis Hybrid Systems.DOI
379. Honggui Han, Mengmeng Li, Junfei Qiao, Qing Yang, Yongzhen Peng (2023). Filter Transfer Learning Algorithm for Missing Data Imputation in Wastewater Treatment Process. IEEE Transactions on Knowledge and Data Engineering.DOI
380. Jiakun Chen, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2023). Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm. Fuel.DOI
381. Honggui Han, Xing Bai, Hongyan Yang, Ying Hou, Junfei Qiao (2023). Multitask Particle Swarm Optimization With Dynamic Transformation. IEEE Transactions on Emerging Topics in Computing.DOI
382. Feng-Liang Zhao, Zipeng Wang, Huai‐Ning Wu, Junfei Qiao, Xuehua Yan, Han‐Xiong Li (2023). Robust Event-Triggered Sampled-Data Fuzzy Control with Non-fragile for Nonlinear Delayed Distributed Parameter Systems. International Journal of Fuzzy Systems.DOI
383. Yu Huo, Ding Wang, Junfei Qiao, Menghua Li (2023). Adaptive critic design for nonlinear multi-player zero-sum games with unknown dynamics and control constraints. Nonlinear Dynamics.DOI
384. Ding Wang, Xin Li, Lingzhi Hu, Junfei Qiao (2023). Data-driven tracking control design with reinforcement learning involving a wastewater treatment application. Engineering Applications of Artificial Intelligence.DOI
385. Ting Shi, Yang Qing Wu, Ailin Qi, Pengyu Li, Junfei Qiao (2023). LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction. Applied Intelligence.DOI
386. Haixu Ding, Jian Tang, Junfei Qiao (2023). Dynamic modeling of multi-input and multi-output controlled object for municipal solid waste incineration process. Applied Energy.DOI
387. Haijun He, Xi Meng, Jian Tang, Junfei Qiao (2023). Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process. Science China Technological Sciences.DOI
388. Honggui Han, Yucheng Liu, Linlin Zhang, Hongxu Liu, Hongyan Yang, Junfei Qiao (2023). Knowledge Reconstruction for Dynamic Multi-objective Particle Swarm Optimization Using Fuzzy Neural Network. International Journal of Fuzzy Systems.DOI
389. Gongming Wang, Yidi Zhao, Caixia Liu, Junfei Qiao (2023). Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process. IEEE Transactions on Industrial Informatics.DOI
390. Honggui Han, Shijia Fu, Haoyuan Sun, Chen-Hui Qin, Junfei Qiao (2023). Modeling and control of wastewater treatment process with time delay based on event-triggered recursive least squares. Engineering Applications of Artificial Intelligence.DOI
391. Menghua Li, Ding Wang, Mingming Zhao, Junfei Qiao (2023). Event-triggered constrained neural critic control of nonlinear continuous-time multiplayer nonzero-sum games. Information Sciences.DOI
392. Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao (2023). Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning. IEEE Transactions on Neural Networks and Learning Systems.DOI
393. Honggui Han, Chenyang Wang, Haoyuan Sun, Hongyan Yang, Junfei Qiao (2023). Iterative Learning Model Predictive Control With Fuzzy Neural Network for Nonlinear Systems. IEEE Transactions on Fuzzy Systems.DOI
394. Ding Wang, Zihang Zhou, Menghua Li, Jin Ren, Junfei Qiao (2023). Event‐based robust performance guarantee for nonaffine plants via system identification. International Journal of Robust and Nonlinear Control.DOI
395. Junfei Qiao, Dapeng Li, Honggui Han (2023). Neural Network-Based Adaptive Tracking Control for Denitrification and Aeration Processes With Time Delays. IEEE Transactions on Neural Networks and Learning Systems.DOI
396. Honggui Han, Yucheng Liu, Ying Hou, Junfei Qiao (2023). Multi-modal multi-objective particle swarm optimization with self-adjusting strategy. Information Sciences.DOI
397. Qianqian Li, Zipeng Wang, Tingwen Huang, Huai‐Ning Wu, Han‐Xiong Li, Junfei Qiao (2023). Fault-Tolerant Stochastic Sampled-Data Fuzzy Control for Nonlinear Delayed Parabolic PDE Systems. IEEE Transactions on Fuzzy Systems.DOI
398. Xiaolong Wu, Wei Wang, Hongyan Yang, Honggui Han, Junfei Qiao (2023). Diversified Knowledge Transfer Strategy for Multitasking Particle Swarm Optimization. IEEE Transactions on Cybernetics.DOI
399. Canlin Cui, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2023). Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor. IEEE Transactions on Instrumentation and Measurement.DOI
400. Cuili Yang, Sheng Yuan Yang, Jian Tang, Junfei Qiao, Wen Yu (2023). Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants. IEEE Transactions on Instrumentation and Measurement.DOI
401. Chaofan Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao (2023). Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree. IEEE Transactions on Instrumentation and Measurement.DOI
402. Meng Li, Wenjing Li, Junfei Qiao (2022). Design of a modular neural network based on an improved soft subspace clustering algorithm. Expert Systems With Applications, Vol. 209.DOI
403. 乔俊飞，段滈杉，汤健，蒙西（2022）. 基于火焰图像颜色特征的MSWI燃烧工况识别. 《控制工程》.
404. 韩红桂，张家昌，伍小龙，王梓先，乔俊飞（2022）. 多尺度数据驱动的石化污水可生化性评价. 《控制工程》.
405. 徐雯，汤健，夏恒，乔俊飞（2022）. 基于Bagging半监督深度森林回归的二噁英排放浓度软测量. 《仪器仪表学报》.DOI
406. 杜胜利，张庆达，曹博琦，乔俊飞（2022）. 城市污水处理过程模型预测控制研究综述. 《信息与控制》.
407. 何海军，蒙西，汤健，乔俊飞（2022）. 基于ET–RBF–PID的城市固废焚烧过程炉膛温度控制方法. 《控制理论与应用》.
408. 丁海旭，汤健，夏恒，乔俊飞（2022）. 基于TS-FNN的城市固废焚烧过程MIMO被控对象建模. 《控制理论与应用》.
409. 陈中林，杨翠丽，乔俊飞（2022）. 基于TG–LSTM神经网络的非完整时间序列预测. 《控制理论与应用》.
410. 孙子健，汤健，乔俊飞（2022）. 联合样本输出与特征空间的半监督概念漂移检测法及其应用. 《自动化学报》.DOI
411. 王鼎，赵明明，哈明鸣，乔俊飞（2022）. 基于折扣广义值迭代的智能最优跟踪及应用验证. 《自动化学报》.DOI
412. 汤健，乔俊飞，郭子豪（2022）. 基于潜在特征选择性集成建模的二噁英排放浓度软测量. 《自动化学报》.DOI
413. 王磊，苏中，乔俊飞，赵静（2022）. 基于增量式学习的正则化回声状态网络. 《控制与决策》.DOI
414. 崔璨麟，汤健，夏恒，乔俊飞（2022）. 基于模糊神经网络对抗生成的城市固废焚烧过程二噁英排放预警. 《第33届中国过程控制会议论文集》.DOI
415. Mei Yang, Shengli Du, Honggui Han, Junfei Qiao (2022). Multi-objective Order Dispatching for Electronic Products Recycling Process. 《第33届中国过程控制会议论文集》.DOI
416. 韩红桂，王童，伍小龙，乔俊飞（2022）. 城市污水脱氮过程自适应模糊滑模控制. 《控制工程》.
417. 夏恒，汤健，乔俊飞（2022）. 深度森林研究综述. 《北京工业大学学报》.
418. 汤健，庄家宾，乔俊飞（2022）. 城市固废炉内焚烧过程数值仿真及分析. 《控制工程》.
419. 孙剑，蒙西，乔俊飞（2022）. 基于MIV-RBF神经网络的主蒸汽流量软测量方法. 《控制工程》.
420. Honggui Han, Linlin Zhang, A. Yinga, Junfei Qiao (2022). Adaptive multiple selection strategy for multi-objective particle swarm optimization. Information Sciences.DOI
421. Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Nan Zhao, Jie Li, Junfei Qiao (2022). Dynamic–static model for monitoring wastewater treatment processes. Control Engineering Practice.DOI
422. Mingming Zhao, Ding Wang, Junfei Qiao, Lingzhi Hu (2022). Optimal trajectory tracking control for a class of nonlinear nonaffine systems via generalized N‐step value gradient learning. International Journal of Robust and Nonlinear Control.DOI
423. Ding Wang, Junlong Wu, Mingming Ha, Mingming Zhao, Menghua Li, Junfei Qiao (2022). Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation. IEEE Transactions on Neural Networks and Learning Systems.DOI
424. Xiaoyang Sun, Ping Zhou, Jinliang Ding, Junfei Qiao (2022). Enhanced MPC based on unknown state estimation and control compensation. Journal of Process Control.DOI
425. Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Junfei Qiao (2022). Nonsingular Gradient Descent Algorithm for Interval Type-2 Fuzzy Neural Network. IEEE Transactions on Neural Networks and Learning Systems.DOI
426. Xu Zhang, Zipeng Wang, Huai‐Ning Wu, Xiaowei Zhang, Han‐Xiong Li, Junfei Qiao (2022). Robust Non-fragile $$H_{\infty }$$ Fuzzy Control for Uncertain Nonlinear-Delayed Hyperbolic PDE Systems. International Journal of Fuzzy Systems.DOI
427. Kang Li, Cuili Yang, Wei Wang, Junfei Qiao (2022). An improved stochastic configuration network for concentration prediction in wastewater treatment process. Information Sciences.DOI
428. Canlin Cui, Jian Tang, Heng Xia, Junfei Qiao, Wen Yu (2022). Virtual sample generation method based on generative adversarial fuzzy neural network. Neural Computing and Applications.DOI
429. Honggui Han, Jiacheng Zhang, Hongyan Yang, Ying Hou, Junfei Qiao (2022). Data-driven robust optimal control for nonlinear system with uncertain disturbances. Information Sciences.DOI
430. Junfei Qiao, Jiang-Long Zhou, Xi Meng (2022). A Multitask Learning Model for the Prediction of NOx Emissions in Municipal Solid Waste Incineration Processes. IEEE Transactions on Instrumentation and Measurement.DOI
431. Meng Li, Wenjing Li, Yin Su, Haoshan Duan, Junfei Qiao (2022). Design of a self-organizing modular neural network with inter-module connections. China Automation Congress (CAC).DOI
432. Honggui Han, Shijia Fu, Haoyuan Sun, Junfei Qiao (2022). Data-Driven Model-Predictive Control for Nonlinear Systems With Stochastic Sampling Interval. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
433. Ding Wang, Junlong Wu, Lingzhi Hu, Junfei Qiao (2022). Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation. IEEE Transactions on Circuits & Systems II Express Briefs.DOI
434. Ting Shi, Pengyu Li, Wu Yang, Ailin Qi, Junfei Qiao (2022). Research on Air Quality Monitoring System Based on STM32 Single Chip Microcomputer. International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).DOI
435. Yu Huo, Ding Wang, Junfei Qiao, Menghua Li (2022). Off-Policy Model-Free Learning for Multi-Player Non-Zero-Sum Games With Constrained Inputs. IEEE Transactions on Circuits and Systems I Regular Papers.DOI
436. Heng Xia, Jian Tang, Wen Yu, Canlin Cui, Junfei Qiao (2022). Takagi–Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling. IEEE Transactions on Fuzzy Systems.DOI
437. Dingyuan Chen, Cuili Yang, Junfei Qiao (2022). Fuzzy Neural Network Based Tracking Control of Dissolved Oxgen in WWTP. IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA).DOI
438. Heng Xia, Jian Tang, Wen Yu, Junfei Qiao (2022). Tree Broad Learning System for Small Data Modeling. IEEE Transactions on Neural Networks and Learning Systems.DOI
439. Zipeng Wang, Xu Zhang, Huai‐Ning Wu, Mohammed Chadli, Tingwen Huang, Junfei Qiao (2022). Dynamic Fuzzy Boundary Output Feedback Control for Nonlinear Delayed Parabolic Partial Differential Equation Systems Under Noncollocated Boundary Measurement. IEEE Transactions on Fuzzy Systems.DOI
440. Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Junfei Qiao (2022). Self-Organizing Interval Type-2 Fuzzy Neural Network With Adaptive Discriminative Strategy. IEEE Transactions on Fuzzy Systems.DOI
441. Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Han Gao, MengChu Zhou (2022). Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
442. Jing Bi, Zexian Chen, Haitao Yuan, Yongze Lin, Junfei Qiao (2022). Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
443. Jing Bi, Zichao Wang, Haitao Yuan, Kun Ni, Junfei Qiao (2022). Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
444. Jing Bi, Chunhui Zhang, Haitao Yuan, Ziyue Guan, Junfei Qiao (2022). Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
445. Jing Bi, Jun Zhang, Haitao Yuan, Junfei Qiao (2022). Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
446. Luyao Zhang, Jing Bi, Haitao Yuan, Jun Zhang, Junfei Qiao (2022). Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
447. Jing Bi, Kun Ni, Haitao Yuan, Junfei Qiao (2022). LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
448. Honggui Han, Xing Bai, Ying Hou, Junfei Qiao (2022). Adaptive multi-task optimization strategy for wastewater treatment process. Journal of Process Control.DOI
449. Ding Wang, Lingzhi Hu, Junfei Qiao (2022). Multi‐event‐triggered adaptive critic control with guaranteed cost for discrete‐time nonlinear nonzero‐sum games. International Journal of Robust and Nonlinear Control.DOI
450. Menghua Li, Ding Wang, Junfei Qiao (2022). Neural critic learning for tracking control design of constrained nonlinear multi-person zero-sum games. Neurocomputing.DOI
451. Shengli Du, Lijun Zhu, Honggui Han, Junfei Qiao (2022). Cooperative relay pursuit with input saturation constraint and external disturbances. International Journal of Robust and Nonlinear Control.DOI
452. Honggui Han, Tong Wang, Haoyuan Sun, Xiaolong Wu, Wen Li, Junfei Qiao (2022). Fuzzy super-twisting sliding mode control for municipal wastewater nitrification process. Science China Technological Sciences.DOI
453. Ding Wang, Lingzhi Hu, Mingming Zhao, Junfei Qiao (2022). Dual Event-Triggered Constrained Control Through Adaptive Critic for Discrete-Time Zero-Sum Games. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
454. Honggui Han, Chenyang Wang, Haoyuan Sun, Junfei Qiao (2022). Data-based robust model predictive control for wastewater treatment process. Journal of Process Control.DOI
455. Ding Wang, Lingzhi Hu, Junfei Qiao (2022). Adaptive optimal tracking control with novel event‐triggered formulation for a type of nonlinear systems. International Journal of Adaptive Control and Signal Processing.DOI
456. Mingming Zhao, Ding Wang, Mingming Ha, Junfei Qiao (2022). Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games. IEEE Transactions on Cybernetics.DOI
457. Honggui Han, Shijia Fu, Haoyuan Sun, Junfei Qiao (2022). Data-Driven Multimodel Predictive Control for Multirate Sampled-Data Nonlinear Systems. IEEE Transactions on Automation Science and Engineering.DOI
458. Honggui Han, Cong Chen, Haoyuan Sun, Junfei Qiao (2022). Multi-objective integrated optimal control for a wastewater treatment process. Control Engineering Practice.DOI
459. Haitao Guo, Jian Tang, Heng Xia, Junfei Qiao (2022). Construction of Combustion Line Quantification Data Set for Municipal Solid Waste Incineration Process. International Conference on Industrial Artificial Intelligence (IAI).DOI
460. Junfei Qiao, Su Yin, Cuili Yang (2022). Online-Growing Neural Network Control for Dissolved Oxygen Concentration. IEEE Transactions on Industrial Informatics.DOI
461. Zheng Liu, Honggui Han, Hongyan Yang, Junfei Qiao (2022). Design of Broad Learning-Based Self-Healing Predictive Control for Sludge Bulking in Wastewater Treatment Process. IEEE Transactions on Industrial Informatics.DOI
462. Zheng Liu, Honggui Han, Hongyan Yang, Junfei Qiao (2022). Knowledge-Aided and Data-Driven Fuzzy Decision Making for Sludge Bulking. IEEE Transactions on Fuzzy Systems.DOI
463. Haoyuan Sun, Honggui Han, Jian Qiao Sun, Hongyan Yang, Junfei Qiao (2022). Security Control of Sampled-Data T–S Fuzzy Systems Subject to Cyberattacks and Successive Packet Losses. IEEE Transactions on Fuzzy Systems.DOI
464. Wenjing Li, Xiaoxiao Wang, Honggui Han, Junfei Qiao (2022). A PLS-based pruning algorithm for simplified long–short term memory neural network in time series prediction. Knowledge-Based Systems.DOI
465. Shengli Du, Qiushuo Yan, Junfei Qiao (2022). Robust secure consensus of multiagent systems with DoS attacks. Transactions of the Institute of Measurement and Control.DOI
466. Haixu Ding, Jian Tang, Junfei Qiao (2022). MIMO modeling and multi-loop control based on neural network for municipal solid waste incineration. Control Engineering Practice.DOI
467. Haoshan Duan, Xi Meng, Jian Tang, Junfei Qiao (2022). Prediction of NOx concentration using modular long short-term memory neural network for municipal solid waste incineration. Chinese Journal of Chemical Engineering.DOI
468. Dapeng Li, Honggui Han, Junfei Qiao (2022). Adaptive Neural Control of Time-Varying Constrained Direct-Current Motor System with Input Saturation. 《第41届中国控制会议论文集（1）》.DOI
469. Honggui Han, Lu Zhang, Junfei Qiao (2022). Dynamic Optimal Control for Wastewater Treatment Process Under Multiple Operating Conditions. IEEE Transactions on Automation Science and Engineering.DOI
470. Honggui Han, Hongxu Liu, Junfei Qiao (2022). Data-Knowledge-Driven Self-Organizing Fuzzy Neural Network. IEEE Transactions on Neural Networks and Learning Systems.DOI
471. Honggui Han, Jiacheng Zhang, Ying Hou, Junfei Qiao (2022). Robust Optimal Control for Wastewater Treatment Process With Uncertain Time Delays. IEEE Transactions on Industrial Informatics.DOI
472. Honggui Han, Linlin Zhang, Ying Hou, Junfei Qiao (2022). Adaptive candidate estimation-assisted multi-objective particle swarm optimization. Science China Technological Sciences.DOI
473. Honggui Han, Xing Bai, Ying Hou, Junfei Qiao (2022). Multitask Particle Swarm Optimization With Dynamic On-Demand Allocation. IEEE Transactions on Evolutionary Computation.DOI
474. Gongming Wang, Jing Bi, Qing‐Shan Jia, Junfei Qiao, Lei Wang (2022). Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. IEEE Transactions on Industrial Informatics.DOI
475. Anqi Fu, Junfei Qiao (2022). Periodic decentralized event-triggered control for nonlinear systems with asynchronous update and dynamic quantization. Nonlinear Dynamics.DOI
476. Ding Wang, Junlong Wu, Jin Ren, Junfei Qiao (2022). Online Value Iteration for Intelligent Discounted Tracking Design of Constrained Systems. IEEE Transactions on Circuits & Systems II Express Briefs.DOI
477. Honggui Han, Honggui Han, Meiting Sun, Huayun Han, Huayun Han, Xiaolong Wu, Junfei Qiao (2022). Univariate imputation method for recovering missing data in wastewater treatment process. Chinese Journal of Chemical Engineering.DOI
478. Lijie Jia, Wenjing Li, Junfei Qiao (2022). An online adjusting RBF neural network for nonlinear system modeling. Applied Intelligence.DOI
479. Shengli Du, Qingda Zhang, Honggui Han, Haoyuan Sun, Junfei Qiao (2022). Event-triggered model predictive control of wastewater treatment plants. Journal of Water Process Engineering.DOI
480. Honggui Han, Cong Chen, Haoyuan Sun, Shengli Du, Junfei Qiao (2022). Multi-objective model predictive control with gradient eigenvector algorithm. Information Sciences.DOI
481. Honggui Han, Chenhui Qin, Haoyuan Sun, Hongyan Yang, Junfei Qiao (2022). Piecewise Sliding-Mode Control for Sludge Bulking Under Multiple Operating Conditions. IEEE Transactions on Industrial Informatics.DOI
482. Shengli Du, Jiangtao Dong, Xu Li, Junfei Qiao (2022). Stability and stabilization for switched positive systems under a weighted MDADT method. Journal of the Franklin Institute.DOI
483. Yin Su, Cuili Yang, Junfei Qiao (2022). Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network. Applied Soft Computing.DOI
484. Haijun He, Xi Meng, Jian Tang, Junfei Qiao (2022). A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process. Neural Computing and Applications.DOI
485. Cuili Yang, Kaizhe Nie, Junfei Qiao, Danlei Wang (2022). Robust echo state network with sparse online learning. Information Sciences.DOI
486. Yingying Cui, Xi Meng, Junfei Qiao (2022). A multi-objective particle swarm optimization algorithm based on two-archive mechanism. Applied Soft Computing.DOI
487. Yingbo Xie, Ding Wang, Junfei Qiao (2022). Dynamic multi-objective intelligent optimal control toward wastewater treatment processes. Science China Technological Sciences.DOI
488. Heng Xia, Jian Tang, Junfei Qiao, Jian Zhang, Wen Yu (2022). DF classification algorithm for constructing a small sample size of data-oriented DF regression model. Neural Computing and Applications.DOI
489. Yingbo Xie, Shengxiang Yang, Ding Wang, Junfei Qiao, Baocai Yin (2022). Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. IEEE Transactions on Evolutionary Computation.DOI
490. Zheng Liu, Honggui Han, Lixin Dong, Hongyan Yang, Junfei Qiao (2022). Intelligent decision method of sludge bulking using recursive kernel principal component analysis and Bayesian network. Control Engineering Practice.DOI
491. Ke Gu, Hongyan Liu, Jing Liu, Xiaofeng Yu, Ting Shi, Junfei Qiao (2022). Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner. IEEE Transactions on Instrumentation and Measurement.DOI
492. Ke Gu, Jing Liu, Shuang Shi, Shuangyi Xie, Ting Shi, Junfei Qiao (2022). Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring. IEEE Transactions on Instrumentation and Measurement.DOI
493. Ke Xu, Huanqing Wang, Qiang Zhang, Ming Chen, Junfei Qiao, Ben Niu (2021). Command-filter-based adaptive neural tracking control for strict-feedback stochastic nonlinear systems with input dead-zone. International Journal Of Systems Science, Vol. 520, No. 11.DOI
494. 左国玉，雷飞，乔俊飞（2021）. 新工科背景下面向创新能力培养的微机原理与应用课程改革. 《计算机教育》.DOI
495. 乔俊飞，董敬娇，李文静（2021）. 改进的小脑模型神经网络及其在时间序列预测中的应用. 《北京工业大学学报》.
496. 郭鑫，李文静，乔俊飞（2021）. 基于距离和密度聚类的RBF网络结构设计. 《控制工程》.DOI
497. 许博文，毕敬，苑海涛，王功明，乔俊飞（2021）. 基于季节性分解与长短期记忆网络的水质动态预警. 《智能科学与技术学报》.
498. 韩红桂，鲁树武，伍小龙，乔俊飞（2021）. 基于改进型SVM的城市污水处理过程异常数据清洗方法. 《北京工业大学学报》.
499. 汤健，王丹丹，郭子豪，乔俊飞（2021）. 基于虚拟样本优化选择的城市固废焚烧过程二噁英排放浓度预测. 《北京工业大学学报》.
500. 张璐，张嘉成，韩红桂，乔俊飞（2021）. 基于动态分解多目标粒子群优化的城市污水处理过程优化控制. 《北京工业大学学报》.
501. 左国玉，雷飞，乔俊飞（2021）. 新工科背景下基于机器人竞赛的创新人才培养模式. 《高教学刊》.
502. 韩红桂，甄琪，任柯燕，伍小龙，杜永萍，乔俊飞（2021）. 基于孪生卷积神经网络的手机型号识别方法. 《北京工业大学学报》.
503. 汤健，夏恒，乔俊飞，郭子豪（2021）. 深度集成森林回归建模方法及应用. 《北京工业大学学报》.
504. 王龙洋，蒙西，乔俊飞（2021）. 基于改进集合经验模态分解和深度信念网络的出水总磷预测. 《化工学报》.
505. 韩红桂，张琳琳，伍小龙，乔俊飞（2021）. 数据和知识驱动的城市污水处理过程多目标优化控制. 《自动化学报》.DOI
506. 王功明，乔俊飞，关丽娜，贾庆山（2021）. 深度信念网络研究现状与展望. 《自动化学报》.DOI
507. 乔俊飞，孙子健，汤健（2021）. 面向工业过程软测量建模的概念漂移检测综述. 《控制理论与应用》.
508. 孙子健，汤健，乔俊飞（2021）. 面向工业过程难测参数建模的双窗口概念漂移检测. 《控制理论与应用》.
509. 韩红桂，张璐，卢薇，乔俊飞（2021）. 城市污水处理过程动态多目标智能优化控制研究. 《自动化学报》.DOI
510. 汤健，乔俊飞，徐喆，郭子豪（2021）. 基于特征约简与选择性集成算法的城市固废焚烧过程二噁英排放浓度软测量. 《控制理论与应用》.
511. 张昭昭，朱应钦，乔俊飞，余文（2021）. 一种基于行为空间的回声状态网络参数优化方法. 《信息与控制》.DOI
512. 乔俊飞，郭子豪，汤健（2021）. 基于多层特征选择的固废焚烧过程二噁英排放浓度软测量. 《信息与控制》.DOI
513. Wenqiang Shi, Wenjing Li, Junfei Qiao (2021). Effluent BOD Concentration Prediction in Wastewater Treatment Process Based on MIC and RBFNN. 《第33届中国控制与决策会议论文集（1）》.DOI
514. Ruyue Yang, Ding Wang, Junfei Qiao (2021). Model-Free Off-Policy Iterative Adaptive Dynamic Programming for Nitrate-Nitrogen Concentration Control. 《第33届中国控制与决策会议论文集（6）》.DOI
515. Hao Zhang, Xi Meng, Jian Tang, Zixuan Wang, Haoshan Duan, Junfei Qiao (2021). Recognition of Combustion Conditions in MSWI Process Using Convolutional Neural Network. 《第33届中国控制与决策会议论文集（4）》.DOI
516. Xuefeng Wang, Wenjing Li, Junfei Qiao (2021). A weight initialization method for fuzzy neural network based on rule partition. 《第33届中国控制与决策会议论文集（4）》.DOI
517. Dandan Wang, Jian Tang, Zihao Guo, Junfei Qiao (2021). Prediction of Dioxin Emission Concentration from Municipal Solid Waste Incineration Process Based on PSO and Equispaced Interpolation. 《第33届中国控制与决策会议论文集（10）》.DOI
518. Qi-Li Chen, Jiu-He Wang, Junfei Qiao, Ming-Yi Zou (2021). Optimizations on unknown low-dimensional structures given by high-dimensional data. Soft Computing - A Fusion of Foundations, Methodologies and Applications.DOI
519. Ding Wang, Lingzhi Hu, Mingming Zhao, Junfei Qiao (2021). Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications. IEEE Transactions on Neural Networks and Learning Systems.DOI
520. Lei Wang, Zhong Su, Junfei Qiao, Feng Deng (2021). A pseudo-inverse decomposition-based self-organizing modular echo state network for time series prediction. Applied Soft Computing.DOI
521. Zheng Liu, Honggui Han, Junfei Qiao (2021). A Knowledge Transfer-based Fuzzy Broad Learning System for Modeling Nonlinear Systems. International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS).DOI
522. Honggui Han, Shijia Fu, Haoyuan Sun, Junfei Qiao (2021). Hierarchical nonlinear model predictive control with multi-time-scale for wastewater treatment process. Journal of Process Control.DOI
523. Nan Guo, Ke Gu, Junfei Qiao, Hantao Liu (2021). Active Vision for Deep Visual Learning: A Unified Pooling Framework. IEEE Transactions on Industrial Informatics.DOI
524. Haixu Ding, Jian Guo Tang, Junfei Qiao (2021). Multi-input and multi-output modeling method based on T-S fuzzy neural network and its application. International Conference on Industrial Artificial Intelligence (IAI).DOI
525. Zhonglin Chen, Cuili Yang, Junfei Qiao (2021). The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm. The Journal of Supercomputing.DOI
526. Hongye Zhang, Cuili Yang, Junfei Qiao (2021). Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction. Neural Processing Letters.DOI
527. Ting Shi, Wu Yang, Junfei Qiao (2021). Research on Nonlinear Systems Modeling Methods Based on Neural Networks. Proceedings of 2021 5th International Conference on Electrical,Automation and Mechanical Engineering(EAME2021).DOI
528. Wen Xu, Jian Tang, Heng Xia, Jian Zhang, Wen Yu, Junfei Qiao (2021). A Semi-supervised Modeling Method for Dioxin Emission Prediction Based on Random Forest. Asian Conference on Artificial Intelligence Technology (ACAIT).DOI
529. Hong-Gui Han, Miao-Li Ma, Hongyan Yang, Junfei Qiao (2021). Self-organizing radial basis function neural network using accelerated second-order learning algorithm. Neurocomputing.DOI
530. Nan Guo, Ke Gu, Junfei Qiao (2021). Flare Soot Monitoring Based on Thermal Infrared Image Processing and Attention-based Meta-learning. China Automation Congress (CAC).DOI
531. Jiang-Long Zhou, Haoshan Duan, Xi Meng, Junfei Qiao (2021). Prediction of NOx emissions based on CSO-RBF Neural Network for Municipal Solid Waste Incineration. China Automation Congress (CAC).DOI
532. Xiaotong Pan, Jian Tang, Haixu Ding, Haoshan Duan, Junfei Qiao (2021). Air Volume Setting Model of Municipal Solid Waste Incineration Process Based on Color Moment Features of Combustion Flame. China Automation Congress (CAC).DOI
533. Yazhen Zhou, Shuang Shi, Hongyan Liu, Yonghui Zhang, Ke Gu, Junfei Qiao (2021). Remote Sensing Inversion for River Turbidity Estimation Based on Noise Injection and Ensemble Learning. China Automation Congress (CAC).DOI
534. Meng Li, Wenjing Li, Junfei Qiao (2021). Design of a locally interconnected modular neural network. China Automation Congress (CAC).DOI
535. Ting Shi, Yang Wu, Junfei Qiao (2021). Urban PM2.5 prediction based on temporal convolution network. International Conference on Neural Networks, Information and Communication Engineering (NNICE).DOI
536. Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Junfei Qiao (2021). Training Fuzzy Neural Network via Multiobjective Optimization for Nonlinear Systems Identification. IEEE Transactions on Fuzzy Systems.DOI
537. Xi Meng, Jian Tang, Junfei Qiao (2021). NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes. IEEE Transactions on Industrial Informatics.DOI
538. Honggui Han, Qi Zhen, Hongyan Yang, Yongping Du, Junfei Qiao (2021). Mobile phone recognition method based on bilinear convolutional neural network. Science China Technological Sciences.DOI
539. Nan Guo, Kexin Di, Hongyan Liu, Yifei Wang, Junfei Qiao (2021). A metric-based meta-learning approach combined attention mechanism and ensemble learning for few-shot learning. Displays.DOI
540. Yu Huo, Ding Wang, Junfei Qiao (2021). Adaptive critic optimization to decentralized event‐triggered control of continuous‐time nonlinear interconnected systems. Optimal Control Applications and Methods.DOI
541. Ke Gu, Hongyan Liu, Zhifang Xia, Junfei Qiao, Weisi Lin, Daniël Thalmann (2021). PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning. IEEE Transactions on Neural Networks and Learning Systems.DOI
542. Ruyue Yang, Ding Wang, Junfei Qiao (2021). Policy Gradient Adaptive Critic Design With Dynamic Prioritized Experience Replay for Wastewater Treatment Process Control. IEEE Transactions on Industrial Informatics.DOI
543. Shengli Du, Wenying Xu, Junfei Qiao, Daniel W. C. Ho (2021). Resilient Output Synchronization of Heterogeneous Multiagent Systems With DoS Attacks Under Distributed Event-/Self-Triggered Control. IEEE Transactions on Neural Networks and Learning Systems.DOI
544. Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao (2021). Discounted near‐optimal regulation of constrained nonlinear systems via generalized value iteration. International Journal of Robust and Nonlinear Control.DOI
545. Huanqing Wang, Ke Wen Xu, Peter Xiaoping Liu, Junfei Qiao (2021). Adaptive Fuzzy Fast Finite-Time Dynamic Surface Tracking Control for Nonlinear Systems. IEEE Transactions on Circuits and Systems I Regular Papers.DOI
546. Haixu Ding, Jian Tang, Junfei Qiao (2021). Control Methods of Municipal Solid Wastes Incineration Process: A Survey. 《第40届中国控制会议论文集（2）》.DOI
547. Jiabin Zhuang, Jian Tang, Junfei Qiao (2021). Numerical Simulation of Municipal Solid Waste Incineration Process Based on Chemical Process Simulation Software. 《第40届中国控制会议论文集（3）》.DOI
548. Menghua Li, Ding Wang, Junfei Qiao, Xin Xu (2021). Neural-Network-Based Self-Learning Disturbance Rejection Design for Continuous-Time Nonlinear Constrained Systems. 《第40届中国控制会议论文集（4）》.DOI
549. Dandan Wang, Jian Tang, Junfei Qiao (2021). Review of VSG for industrial process data regression modeling. 《第40届中国控制会议论文集（3）》.DOI
550. Xiaolong Wu, Honggui Han, Huijuan Zhang, Junfei Qiao (2021). Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network. International Journal of Fuzzy Systems.DOI
551. Honggui Han, Hongxu Liu, Junfei Qiao (2021). Knowledge-Data-Driven Flexible Switching Control for Wastewater Treatment Process. IEEE Transactions on Control Systems Technology.DOI
552. Honggui Han, Xing Bai, Huayun Han, Ying Hou, Junfei Qiao (2021). Self-Adjusting Multitask Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation.DOI
553. Gongming Wang, Qing‐Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao, Abdullah M. Abusorrah (2021). Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. Artificial Intelligence Review.DOI
554. Dapeng Li, Honggui Han, Junfei Qiao (2021). Observer-Based Adaptive Fuzzy Control for Nonlinear State-Constrained Systems Without Involving Feasibility Conditions. IEEE Transactions on Cybernetics.DOI
555. Ding Wang, Mingming Zhao, Junfei Qiao (2021). Intelligent optimal tracking with asymmetric constraints of a nonlinear wastewater treatment system. International Journal of Robust and Nonlinear Control.DOI
556. Honggui Han, Jiacheng Zhang, Shengli Du, Haoyuan Sun, Junfei Qiao (2021). Robust optimal control for anaerobic-anoxic-oxic reactors. Science China Technological Sciences.DOI
557. Gongming Wang, Junfei Qiao, Caixia Liu, Zhaoxu Shen (2021). How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law. IEEE Transactions on Automation Science and Engineering.DOI
558. Gongming Wang, Junfei Qiao (2021). An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling. IEEE Transactions on Fuzzy Systems.DOI
559. Honggui Han, Zheng Liu, Jiaming Li, Junfei Qiao (2021). Design of Syncretic Fuzzy-Neural Control for WWTP. IEEE Transactions on Fuzzy Systems.DOI
560. Honggui Han, Zheng Liu, Hongxu Liu, Junfei Qiao, C. L. Philip Chen (2021). Type-2 Fuzzy Broad Learning System. IEEE Transactions on Cybernetics.DOI
561. Honggui Han, Hongxu Liu, Zheng Liu, Junfei Qiao (2021). Interactive Transfer Learning-Assisted Fuzzy Neural Network. IEEE Transactions on Fuzzy Systems.DOI
562. Hong-Gui Han, Miao-Li Ma, Junfei Qiao (2021). Accelerated gradient algorithm for RBF neural network. Neurocomputing.DOI
563. Nan Guo, Ke Gu, Junfei Qiao, Jing Bi (2021). Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification. Neural Networks.DOI
564. Liguo Zhang, Xiaoli Li, Jianru Hao, Junfei Qiao (2021). Boundary Observer Design for Stochastic Phase Transition Models of Nonequilibrium Traffic Flow. IEEE Transactions on Automatic Control.DOI
565. Xi Meng, Yin Zhang, Junfei Qiao (2021). An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process. Neural Computing and Applications.DOI
566. Jian Tang, Heng Xia, Jian Zhang, Junfei Qiao, Wen Yu (2021). Deep forest regression based on cross-layer full connection. Neural Computing and Applications.DOI
567. Gongming Wang, Qing‐Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao (2021). Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. Neurocomputing.DOI
568. Sanyi Li, Shengxiang Yang, Yanfeng Wang, Weichao Yue, Junfei Qiao (2021). A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization. Swarm and Evolutionary Computation.DOI
569. Honggui Han, Lixin Dong, Junfei Qiao (2021). Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process. Journal of Process Control.DOI
570. Xiaolong Wu, Honggui Han, Junfei Qiao (2021). Data-Driven Intelligent Warning Method for Membrane Fouling. IEEE Transactions on Neural Networks and Learning Systems.DOI
571. Jian Zhi Sun, Xi Meng, Junfei Qiao (2021). Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process. IEEE Transactions on Instrumentation and Measurement.DOI
572. 权利敏，杨翠丽，乔俊飞（2020）. 基于CFNN的污水处理过程溶解氧浓度在线控制. 《智能科学与技术学报》.
573. 汤健，乔俊飞，刘卓，周晓杰，余刚，赵建军（2020）. 面向磨机负荷参数预测的多通道机械信号分析评估与优化组合. 《北京工业大学学报》.
574. 韩红桂，杨士恒，张璐，乔俊飞（2020）. 城市污水处理过程出水氨氮优化控制. 《上海交通大学学报》.DOI
575. 孙子健，乔俊飞，汤健（2020）. 基于样本输出与特征空间的概念漂移检测方法与应用. 《第31届中国过程控制会议（CPCC 2020）摘要集》.DOI
576. 韩红桂，王童，伍小龙，乔俊飞（2020）. 污水处理脱氮过程自适应模糊滑模控制. 《第31届中国过程控制会议（CPCC 2020）摘要集》.DOI
577. 段滈杉，乔俊飞，蒙西，汤健（2020）. 基于模块化神经网络的城市固废焚烧过程氮氧化物软测量. 《第31届中国过程控制会议（CPCC 2020）摘要集》.DOI
578. 汤健，夏恒，乔俊飞，郭子豪（2020）. 基于随机森林和梯度提升树混合集成的二噁英排放浓度预测. 《第31届中国过程控制会议（CPCC 2020）摘要集》.DOI
579. 栗三一，王延峰，乔俊飞，黄金花（2020）. 一种基于区域局部搜索的NSGA Ⅱ算法. 《自动化学报》.DOI
580. 乔俊飞，郭子豪，汤健（2020）. 面向城市固废焚烧过程的二噁英排放浓度检测方法综述. 《自动化学报》.DOI
581. 韩红桂，阿音嘎，张璐，乔俊飞（2020）. 自适应分解式多目标粒子群优化算法. 《电子学报》.
582. 乔俊飞，丁海旭，李文静（2020）. 基于WTFMC算法的递归模糊神经网络结构设计. 《自动化学报》.DOI
583. 郭鑫，李文静，乔俊飞（2020）. 一种改进的在线自适应模块化神经网络. 《控制与决策》.DOI
584. 常鹏，乔俊飞，张祥宇，王普（2020）. 基于四阶累积分析的工业大肠杆菌制备过程故障诊断. 《控制理论与应用》.
585. 乔俊飞，郭子豪，汤健（2020）. 基于改进大趋势扩散和隐含层插值的虚拟样本生成方法及应用. 《化工学报》.
586. 杨壮，杨翠丽，顾锞，乔俊飞（2020）. 多目标进化算法的污水处理过程优化控制. 《控制理论与应用》.
587. 贾丽杰，李文静，乔俊飞（2020）. 基于神经元特性的径向基函数神经网络自组织设计方法. 《控制理论与应用》.
588. 张璐，张嘉成，韩红桂，乔俊飞（2020）. 基于模糊神经网络的污水处理生化除磷过程控制. 《化工学报》.
589. 杨翠丽，武战红，韩红桂，乔俊飞（2020）. 城市污水处理过程优化设定方法研究进展. 《自动化学报》.DOI
590. 孙剑，蒙西，乔俊飞（2020）. 基于平均影响值和RBF神经网络的主蒸汽流量软测量. 《第31届中国过程控制会议（CPCC 2020）》.DOI
591. Heng Xia, Jian Tang, Junfei Qiao, Aijun Yan, Zihao Guo (2020). Soft Measuring Method of Dioxin Emission Concentration for MSWI Process Based on RF and GBDT. 《第32届中国控制与决策会议论文集（5）》.DOI
592. Lijie Jia, Wenjing Li, Junfei Qiao (2020). Design of RBF Neural Network Based on Improved Canopy-K-means algorithm. HPCCT/BDAI.DOI
593. Junfei Qiao, Zengzeng He, Shengli Du (2020). Prediction of $${\mathrm{PM}}_{2.5}$$ concentration based on multi-source data and self-organizing fuzzy neural network. SN Applied Sciences.DOI
594. Shengli Du, Xudong Zhao, Junfei Qiao, Guangdeng Zong (2020). Guaranteed cost stabilization control of discrete‐time switched systems. IET Control Theory and Applications.DOI
595. Wei Li, Junfei Qiao, Xiao‐Jun Zeng (2020). Online and Self-Learning Approach to the Identification of Fuzzy Neural Networks. IEEE Transactions on Fuzzy Systems.DOI
596. Honggui Han, Qian Zhang, Zheng Liu, Junfei Qiao (2020). Knowledge-Based Fuzzy Broad Learning Algorithm for Warning Membrane Fouling. International Journal of Fuzzy Systems.DOI
597. Zhang Li, Honggui Han, Junfei Qiao (2020). Dynamic Multiobjective Optimal Control with Knowledge-Decision for Wastewater Treatment Process. International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS).DOI
598. Lei Wang, Zhong Su, Junfei Qiao, Cuili Yang (2020). Design of sparse Bayesian echo state network for time series prediction. Neural Computing and Applications.DOI
599. Xiaotian Xie, Ke Gu, Junfei Qiao (2020). A New Anomaly Detector of Flare Pilot Based on Siamese Network. Chinese Automation Congress.DOI
600. Yingying Cui, Junfei Qiao, Xi Meng (2020). Multi-stage multi-objective particle swarm optimization algorithm based on the evolutionary information of population. Chinese Automation Congress.DOI
601. Jingjiao Dong, Wenjing Li, Junfei Qiao (2020). Time series prediction based on fuzzy-membership cerebellar model neural network with differential evolution. Chinese Automation Congress.DOI
602. Heng Xia, Jian Tang, Junfei Qiao (2020). Deep Forest Regression Based on Dynamic State Transition Optimization Algorithm. Chinese Automation Congress.DOI
603. Honggui Han, Hongxu Liu, Jiaming Li, Junfei Qiao (2020). Cooperative Fuzzy-Neural Control for Wastewater Treatment Process. IEEE Transactions on Industrial Informatics.DOI
604. Heng Xia, Jian Tang, Junfei Qiao, Wen Yu (2020). Multi-sliced Sampling-based Deep Forest Regression Algorithm for High-dimension Data. International Conference on Industrial Artificial Intelligence (IAI).DOI
605. Xuemeng Li, Wei Chai, Tong Liu, Junfei Qiao (2020). Fault detection of dissolved oxygen sensor in wastewater treatment plants. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society.DOI
606. Junfei Qiao, Xin Guo, Wenjing Li (2020). An online self-organizing modular neural network for nonlinear system modeling. Applied Soft Computing.DOI
607. Shengli Du, Qiushuo Yan, Junfei Qiao (2020). Event-triggered PID control for wastewater treatment plants. Journal of Water Process Engineering.DOI
608. Gongming Wang, Qing‐Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou (2020). Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. IEEE Transactions on Neural Networks and Learning Systems.DOI
609. Haixu Ding, Wenjing Li, Junfei Qiao (2020). A self-organizing recurrent fuzzy neural network based on multivariate time series analysis. Neural Computing and Applications.DOI
610. Yingbo Xie, Junfei Qiao, Ding Wang, Baocai Yin (2020). A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies. Information Sciences.DOI
611. Yonghui Zhang, Ke Gu, Zhifang Xia, Junfei Qiao (2020). Photo-Based Monitoring of Particulate Matter in the Campus: A New Strategy for Student Health. Proceedings of 2020 International Conference on Green Energy, Environment and Sustainable Development (GEESD 2020).DOI
612. Wenjing Li, Minghui Chu, Junfei Qiao (2020). A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling. Neural Networks.DOI
613. Haijun He, Xi Meng, Jian Tang, Junfei Qiao, Zihao Guo (2020). Prediction of MSWI furnace temperature based on TS fuzzy neural network. 《第三十九届中国控制会议论文集（5）》.DOI
614. Zijian Sun, Jian Tang, Junfei Qiao, Chengyu Cui (2020). Review of Concept Drift Detection Method for Industrial Process Modeling. 《第三十九届中国控制会议论文集（5）》.DOI
615. Heng Xia, Jian Tang, Qiumei Cong, Junfei Qiao, Zhe Xu (2020). Dioxin Emission Concentration Forecasting Model for MSWI Process with Random Forest-Based Transfer Learning. 《第三十九届中国控制会议论文集（5）》.DOI
616. Zihao Guo, Jian Tang, Junfei Qiao, Haijun He (2020). Dioxin Emission Concentration Soft Measurement Model of MSWI Process Based on Unmarked Samples and Improved Deep Belief Network. 《第三十九届中国控制会议论文集（5）》.DOI
617. Xi Meng, Limin Quan, Junfei Qiao (2020). A Self-Organizing Modular Neural Network for Nonlinear System Modeling.DOI
618. Yonghui Zhang, Ke Gu, Zhifang Xia, Junfei Qiao (2020). Air Quality Controlling-Oriented Highly Efficient Method for Monitoring Particulate Matters. 《第三十九届中国控制会议论文集（6）》.DOI
619. Wenjing Li, Meng Li, Junkai Zhang, Junfei Qiao (2020). Design of a self-organizing reciprocal modular neural network for nonlinear system modeling. Neurocomputing.DOI
620. Ding Wang, Mingming Ha, Junfei Qiao (2020). Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant. IEEE Transactions on Industrial Electronics.DOI
621. Ke Gu, Yonghui Zhang, Junfei Qiao (2020). Random Forest Ensemble for River Turbidity Measurement From Space Remote Sensing Data. IEEE Transactions on Instrumentation and Measurement.DOI
622. Junfei Qiao, Xin Guo, Wenjing Li (2020). An online self-organizing algorithm for feedforward neural network. Neural Computing and Applications.DOI
623. Honggui Han, Huijuan Zhang, Junfei Qiao (2020). Robust Deep Neural Network Using Fuzzy Denoising Autoencoder. International Journal of Fuzzy Systems.DOI
624. Junfei Qiao, Limin Quan, Cuili Yang (2020). Design of modeling error PDF based fuzzy neural network for effluent ammonia nitrogen prediction. Applied Soft Computing.DOI
625. Ke Gu, Yonghui Zhang, Junfei Qiao (2020). Vision-Based Monitoring of Flare Soot. IEEE Transactions on Instrumentation and Measurement.DOI
626. Ding Wang, Mingming Ha, Junfei Qiao, Jun Yan, Yingbo Xie (2020). Data-based composite control design with critic intelligence for a wastewater treatment platform. Artificial Intelligence Review.DOI
627. Junfei Qiao, Zengzeng He, Shengli Du (2020). Prediction of $$\hbox {PM}_{2.5}$$ concentration based on weighted bagging and image contrast-sensitive features. Stochastic Environmental Research and Risk Assessment.DOI
628. Junfei Qiao, Longyang Wang (2020). Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network. Applied Intelligence.DOI
629. Cuili Yang, Xinxin Zhu, Junfei Qiao, Kaizhe Nie (2020). Forward and backward input variable selection for polynomial echo state networks. Neurocomputing.DOI
630. Honggui Han, Huijuan Zhang, Zheng Liu, Junfei Qiao (2020). Data-driven decision-making for wastewater treatment process. Control Engineering Practice.DOI
631. Junfei Qiao, Fei Li, Cuili Yang, Wenjing Li, Ke Gu (2020). A self-organizing RBF neural network based on distance concentration immune algorithm. IEEE/CAA Journal of Automatica Sinica.DOI
632. Liguo Zhang, Christophe Prieur, Junfei Qiao (2020). Local Proportional-Integral Boundary Feedback Stabilization for Quasilinear Hyperbolic Systems of Balance Laws. SIAM Journal on Control and Optimization.DOI
633. Cuili Yang, Zhanhong Wu, Junfei Qiao (2020). Design of Echo State Network with Coordinate Descent Method and $$l_1$$ Regularization. Communications in computer and information science.DOI
634. Liguo Zhang, Christophe Prieur, Junfei Qiao (2019). PI boundary control of linear hyperbolic balance laws with stabilization of ARZ traffic flow models. Systems & Control Letters, Vol. 123.DOI
635. 任忠铭，李文静，乔俊飞（2019）. 基于GSA的递归RBF神经网络出水BOD预测模型. 《第三十八届中国控制会议论文集（7）》.
636. 汤健，乔俊飞，徐喆，郭子豪（2019）. 基于特征选择和选择性集成策略的城市固废焚烧过程二噁英排放浓度软测量. 《第30届中国过程控制会议（CPCC 2019）摘要集》.
637. 蒙西，乔俊飞，韩红桂（2019）. 基于类脑模块化神经网络的污水处理过程关键出水参数软测量. 《自动化学报》.DOI
638. 朱宝，乔俊飞（2019）. 基于自编码神经网络特征提取的回声状态网络研究及过程建模应用. 《化工学报》.
639. 乔俊飞，段滈杉，汤健（2019）. 基于火焰图像颜色特征提取的城市固废焚烧过程燃烧工况识别. 《第30届中国过程控制会议（CPCC 2019）摘要集》.
640. 乔俊飞，贺增增，杜胜利（2019）. 基于混合评价指标的自组织模糊神经网络设计研究. 《化工学报》.
641. 汤健，乔俊飞（2019）. 基于选择性集成核学习算法的固废焚烧过程二噁英排放浓度软测量. 《化工学报》.
642. 李文静，李萌，乔俊飞（2019）. 基于互信息和自组织RBF神经网络的出水BOD软测量方法. 《化工学报》.
643. 李霏，杨翠丽，李文静，乔俊飞（2019）. 基于均匀分布NSGAII算法的污水处理多目标优化控制. 《化工学报》.
644. 乔俊飞，李霏，杨翠丽（2019）. 一种基于均匀分布策略的NSGAⅡ算法. 《自动化学报》.DOI
645. 王磊，乔俊飞，杨翠丽，朱心新（2019）. 基于灵敏度分析的模块化回声状态网络修剪算法. 《自动化学报》.DOI
646. 常鹏，乔俊飞，王普，高学金（2019）. 非线性和非高斯性共存的序批次反应处理过程故障诊断（英文）. 《控制理论与应用》.
647. 谢晓添，武利，顾锞，刘茂珅，乔俊飞（2019）. 放空火炬高效燃烧控制系统设计. 《第30届中国过程控制会议（CPCC 2019）摘要集》.
648. 贾丽杰，李文静，乔俊飞（2019）. 基于CK均值聚类算法的RBF神经网络设计. 《第30届中国过程控制会议（CPCC 2019）摘要集》.
649. 汤健，乔俊飞，刘卓，周晓杰（2019）. 基于自适应多核潜结构映射选择性集成模型的磨机负荷参数预测（英文）. 《控制理论与应用》.
650. 胡志强，李文静，乔俊飞（2019）. 基于自适应模拟退火的变频正弦混沌神经网络. 《电子学报》.
651. Qili Chen, Guangyuan Pan, Junfei Qiao, Ming Yu (2019). Research on a Continuous Deep Belief Network for Feature Learning of Time Series Prediction. 《第31届中国控制与决策会议》.
652. Jian Tang, Junfei Qiao, Zhe Xu, Wen Yu (2019). Comparative Study of Latent Structure Modeling Approaches with Its Application to Prediction Dioxin Emission Concentration. 《第31届中国控制与决策会议论文集（2）》.
653. Peng Chang, Junfei Qiao, Xiang-Yu Zhang, Ruiwei Lu (2019). Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity. IEEE Access.DOI
654. Gongming Wang, Junfei Qiao, Jing Bi, Qing‐Shan Jia, MengChu Zhou (2019). An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. IEEE Transactions on Neural Networks and Learning Systems.DOI
655. Wenjing Li, Meng Li, Junfei Qiao, Xin Guo (2019). A feature clustering-based adaptive modular neural network for nonlinear system modeling. ISA Transactions.DOI
656. Haoshan Duan, Jian Tang, Junfei Qiao (2019). Recognition of Combustion Condition in MSWI Process Based on Multi-scale Color Moment Features and Random Forest. Chinese Automation Congress.DOI
657. Zihao Guo, Jian Tang, Junfei Qiao (2019). An Improved Virtual Sample Generation Technology based on Mega Trend Diffusion. Chinese Automation Congress.DOI
658. Haijun He, Jian Tang, Junfei Qiao (2019). Identification of MSWI Furnace Temperature Model Based on Weighted Adaptive Particle Swarm optimization. Chinese Automation Congress.DOI
659. Zijian Sun, Jian Tang, Junfei Qiao (2019). Double Window Concept Drift Detection Method Based on Sample Distribution Statistical Test. Chinese Automation Congress.DOI
660. Bao Zhu, Junfei Qiao (2019). Singular value decomposition based functional link learning machine and its application to process modeling. Chinese Automation Congress.DOI
661. Jingyao Wang, Junfei Qiao, Guanghui Wen, Zhisheng Duan, Tingwen Huang (2019). Rendezvous of Heterogeneous Multiagent Systems With Nonuniform Time-Varying Information Delays: An Adaptive Approach. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
662. Wei Li, Junfei Qiao, Xiao‐Jun Zeng, Shengli Du (2019). Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis. Fuzzy Sets and Systems.DOI
663. Gongming Wang, Qing‐Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu (2019). A sparse deep belief network with efficient fuzzy learning framework. Neural Networks.DOI
664. Gongming Wang, Junfei Qiao, Jing Bi, MengChu Zhou (2019). An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
665. Zohaib Ahmad, Kaizhe Nie, Junfei Qiao, Cuili Yang (2019). Hybrid Structure Based PSO for ESN Optimization.DOI
666. Jian Tang, Junfei Qiao, Zhuo Liu, Ning Sheng, Wen Yu, Gang Yu (2019). Dual-layer optimized selective information fusion using multi-source multi-component mechanical signals for mill load parameters forecasting. Mechanical Systems and Signal Processing.DOI
667. Chang Peng, Junfei Qiao, Ruiwei Lu, Xiangyu Zhang (2019). Multiphase batch process monitoring based on higher‐order cumulant analysis. The Canadian Journal of Chemical Engineering.DOI
668. Honggui Han, Zheng Liu, Ying Hou, Junfei Qiao (2019). Data-Driven Multiobjective Predictive Control for Wastewater Treatment Process. IEEE Transactions on Industrial Informatics.DOI
669. Honggui Han, Zheng Liu, Hongxu Liu, Junfei Qiao (2019). Knowledge-Data-Driven Model Predictive Control for a Class of Nonlinear Systems. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
670. Xiaolong Wu, Honggui Han, Junfei Qiao (2019). A Self-Learning Sliding Mode Controller for Biological Wastewater Treatment System. International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS).DOI
671. Junfei Qiao, Fei Li, Shengxiang Yang, Cuili Yang, Wenjing Li, Ke Gu (2019). An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection. Information Sciences.DOI
672. Honggui Han, Lu Zhang, Hongxu Liu, Cuili Yang, Junfei Qiao (2019). Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
673. Honggui Han, Jiaming Li, Xiaolong Wu, Junfei Qiao (2019). Cooperative strategy for constructing interval type-2 fuzzy neural network. Neurocomputing.DOI
674. Xiaolong Wu, Honggui Han, Zheng Liu, Junfei Qiao (2019). Data-Knowledge-Based Fuzzy Neural Network for Nonlinear System Identification. IEEE Transactions on Fuzzy Systems.DOI
675. Honggui Han, Lu Zhang, Lin‐Lin Zhang, Zheng He, Junfei Qiao (2019). Cooperative Optimal Controller and Its Application to Activated Sludge Process. IEEE Transactions on Cybernetics.DOI
676. Ke Gu, Zhifang Xia, Junfei Qiao, Weisi Lin (2019). Deep Dual-Channel Neural Network for Image-Based Smoke Detection. IEEE Transactions on Multimedia.DOI
677. Honggui Han, Zheng Liu, Wei Lü, Ying Hou, Junfei Qiao (2019). Dynamic MOPSO-Based Optimal Control for Wastewater Treatment Process. IEEE Transactions on Cybernetics.DOI
678. Honggui Han, Hongxu Liu, Zheng Liu, Junfei Qiao (2019). Fault detection of sludge bulking using a self-organizing type-2 fuzzy-neural-network. Control Engineering Practice.DOI
679. Cuili Yang, Junfei Qiao, Zohaib Ahmad, Kaizhe Nie, Lei Wang (2019). Online sequential echo state network with sparse RLS algorithm for time series prediction. Neural Networks.DOI
680. Ding Wang, Junfei Qiao (2019). Approximate neural optimal control with reinforcement learning for a torsional pendulum device. Neural Networks.DOI
681. Ying-Xu Wang, Honggui Han, Min Guo, Junfei Qiao (2019). A self-organizing deep belief network based on information relevance strategy. Neurocomputing.DOI
682. Ke Gu, Zhifang Xia, Junfei Qiao (2019). Stacked Selective Ensemble for PM2.5 Forecast. IEEE Transactions on Instrumentation and Measurement.DOI
683. Ke Gu, Junfei Qiao, Sanghoon Lee, Hantao Liu, Weisi Lin, Patrick Le Callet (2019). Multiscale Natural Scene Statistical Analysis for No-Reference Quality Evaluation of DIBR-Synthesized Views. IEEE Transactions on Broadcasting.DOI
684. Longyang Wang, Junfei Qiao (2019). Research and Application of Deep Belief Network Based on Local Binary Pattern and Improved Weight Initialization. International Symposium on Autonomous Systems (ISAS).DOI
685. Honggui Han, Zheng Liu, Junfei Qiao (2019). Fuzzy Neural Network-Based Model Predictive Control for Dissolved Oxygen Concentration of WWTPs. International Journal of Fuzzy Systems.DOI
686. Liguo Zhang, Jianru Hao, Junfei Qiao (2019). Input-to-state stability of coupled hyperbolic PDE-ODE systems via boundary feedback control. Science China Information Sciences.DOI
687. Shengli Du, Hamid Reza Karimi, Junfei Qiao, Di Wu, Chao Feng (2019). Stability Analysis for a Class of Discrete-Time Switched Systems With Partial Unstable Subsystems. IEEE Transactions on Circuits & Systems II Express Briefs.DOI
688. Ke Gu, Xin Xu, Junfei Qiao, Qiuping Jiang, Weisi Lin, Daniël Thalmann (2019). Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances. IEEE Transactions on Big Data.DOI
689. Hongbiao Zhou, Junfei Qiao (2019). Soft sensing of effluent ammonia nitrogen using rule automatic formation-based adaptive fuzzy neural network. Desalination and Water Treatment.DOI
690. Guanghui Yue, Ke Gu, Junfei Qiao (2019). Effective and Efficient Photo-Based PM2.5 Concentration Estimation. IEEE Transactions on Instrumentation and Measurement.DOI
691. Wenjing Li, Minghui Chu, Junfei Qiao (2019). Design of a hierarchy modular neural network and its application in multimodal emotion recognition. Soft Computing.DOI
692. Zohaib Ahmad, Cuili Yang, Junfei Qiao (2019). An Accelerated PSO Based Self-organizing RBF Neural Network for Nonlinear System Identification and Modeling. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.DOI
693. Maoshen Liu, Ke Gu, Wu Li, Xin Xu, Junfei Qiao (2019). Learn a Deep Convolutional Neural Network for Image Smoke Detection. Communications in computer and information science.DOI
694. Zhuang Yang, Cuili Yang, Junfei Qiao (2019). Sewage Treatment Control Method Based on Genetic-SOFNN. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.DOI
695. Cuili Yang, Xinxin Zhu, Junfei Qiao (2019). A Backward Learning Algorithm in Polynomial Echo State Networks. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.DOI
696. Zohaib Ahmad, Kaizhe Nie, Junfei Qiao, Cuili Yang (2019). Batch Gradient Training Method with Smoothing $$l_0$$ Regularization for Echo State Networks. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.DOI
697. 韩红桂，卢薇，乔俊飞（2018）. 一种基于多样性信息和收敛度的多目标粒子群优化算法. 《电子学报》.
698. 韩红桂，刘峥，乔俊飞（2018）. 基于区间二型模糊神经网络污水处理过程溶解氧浓度控制. 《化工学报》.
699. 乔俊飞，马士杰，杨翠丽（2018）. 基于ROLS算法的递归RBF神经网络结构设计. 《化工学报》.
700. 常鹏，乔俊飞，王普，高学金，李征（2018）. 基于MKECA的非高斯性和非线性共存的间歇过程监测. 《化工学报》.
701. 韩红桂，伍小龙，张璐，乔俊飞（2018）. 城市污水处理过程异常工况识别和抑制研究. 《自动化学报》.DOI
702. 栗三一，乔俊飞，李文静，顾锞（2018）. 污水处理决策优化控制. 《自动化学报》.DOI
703. 汤健，乔俊飞，柴天佑，刘卓，吴志伟（2018）. 基于虚拟样本生成技术的多组分机械信号建模. 《自动化学报》.DOI
704. 王功明，乔俊飞，王磊（2018）. 一种能量函数意义下的生成式对抗网络. 《自动化学报》.DOI
705. 乔俊飞，张力，李文静（2018）. 基于尖峰自组织模糊神经网络的需水量预测. 《控制与决策》.DOI
706. 卢超，杨翠丽，乔俊飞（2018）. 基于PSO算法的动态模块化神经网络结构设计. 《控制与决策》.DOI
707. 王磊，乔俊飞，李晓理（2018）. 一种回声状态网络的权值初始化方法. 《控制与决策》.DOI
708. 栗三一，李文静，乔俊飞（2018）. 一种基于密度的局部搜索NSGA2算法. 《控制与决策》.DOI
709. 乔俊飞，卢超，王磊，韩红桂（2018）. 城市污水处理过程模型研究综述. 《信息与控制》.
710. Dingyuan Li, Fu Liu, Junfei Qiao, Rong Li (2018). Structure optimization for echo state network based on contribution. Tsinghua Science & Technology.DOI
711. Shengli Du, Junfei Qiao, Daniel W. C. Ho, Lijun Zhu (2018). Fixed-Time Cooperative Relay Tracking in Multiagent Surveillance Networks. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
712. Hongbiao Zhou, Junfei Qiao (2018). Multiobjective optimal control for wastewater treatment process using adaptive MOEA/D. Applied Intelligence.DOI
713. Honggui Han, Xiaolong Wu, Hongxu Liu, Junfei Qiao (2018). An Efficient Optimization Method for Improving Generalization Performance of Fuzzy Neural Networks. IEEE Transactions on Fuzzy Systems.DOI
714. Junfei Qiao, Hongbiao Zhou, Cuili Yang, Shengxiang Yang (2018). A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty. Applied Soft Computing.DOI
715. Maoshen Liu, Ke Gu, Junfei Qiao (2018). Convolutional Neural Network for Smoke Image Super-Resolution. International Conference on Computer Science and Application Engineering (CSAE).DOI
716. Junfei Qiao, Xi Meng, Wenjing Li, Bogdan M. Wilamowski (2018). A novel modular RBF neural network based on a brain-like partition method. Neural Computing and Applications.DOI
717. Wei Zhang, Junfei Qiao (2018). Multi‐Variable Direct Self‐Organizing Fuzzy Neural Network Control for Wastewater Treatment Process. Asian Journal of Control.DOI
718. Shengli Du, Junfei Qiao, Wei Li (2018). Leader-following consensus for nonlinear multiagent systems with large delays. Transactions of the Institute of Measurement and Control.DOI
719. Jian Tang, Junfei Qiao, Zhuo Liu, Xiaojie Zhou, Gang Yu, Jianjun Zhao (2018). Mechanism characteristic analysis and soft measuring method review for ball mill load based on mechanical vibration and acoustic signals in the grinding process. Minerals Engineering.DOI
720. Jian Tang, Junfei Qiao, Wen Yu (2018). Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application1. IEEE International Conference on Information and Automation (ICIA).DOI
721. Honggui Han, Lu Zhang, Junfei Qiao (2018). Intelligent Optimal Control for Wastewater Treatment Process with Flexible Objective Functions. International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS).DOI
722. Honggui Han, Xiaolong Wu, Junfei Qiao (2018). Design of Robust Sliding Mode Control With Adaptive Reaching Law. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
723. Junfei Qiao, Hongbiao Zhou (2018). Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network. IEEE/CAA Journal of Automatica Sinica.DOI
724. Jian Tang, Junfei Qiao, Zhuo Liu, Xiaojie Zhou, Gang Yu, Jianjun Zhao (2018). Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum. Soft Computing.DOI
725. Shengli Du, Junfei Qiao, Xudong Zhao, Rui Wang (2018). Stability and L1-gain analysis for switched positive T–S fuzzy systems under asynchronous switching. Journal of the Franklin Institute.DOI
726. Junfei Qiao, Gaitang Han, Honggui Han, Cuili Yang, Wei Li (2018). Decoupling control for wastewater treatment process based on recurrent fuzzy neural network. Asian Journal of Control.DOI
727. Ke Gu, Junfei Qiao, Xiaoli Li (2018). Highly Efficient Picture-Based Prediction of PM2.5 Concentration. IEEE Transactions on Industrial Electronics.DOI
728. Honggui Han, Shuguang Zhu, Junfei Qiao, Min Guo (2018). Data-driven intelligent monitoring system for key variables in wastewater treatment process. Chinese Journal of Chemical Engineering.DOI
729. Honggui Han, Zheng Liu, Yanan Guo, Junfei Qiao (2018). An intelligent detection method for bulking sludge of wastewater treatment process. Journal of Process Control.DOI
730. Honggui Han, Xiaolong Wu, Junfei Qiao (2018). A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes. IEEE Transactions on Control Systems Technology.DOI
731. Junfei Qiao, Zhiqiang Hu, Wenjing Li (2018). Hysteretic noisy frequency conversion sinusoidal chaotic neural network for traveling salesman problem. Neural Computing and Applications.DOI
732. Cuili Yang, Junfei Qiao, Lei Wang, Xinxin Zhu (2018). Dynamical regularized echo state network for time series prediction. Neural Computing and Applications.DOI
733. Honggui Han, Lu Zhang, Hongxu Liu, Junfei Qiao (2018). Multiobjective design of fuzzy neural network controller for wastewater treatment process. Applied Soft Computing.DOI
734. Junfei Qiao, Lei Wang, Cuili Yang (2018). Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling. Neural Computing and Applications.DOI
735. Junfei Qiao, Gongming Wang, Wenjing Li, Min Chen (2018). An adaptive deep Q-learning strategy for handwritten digit recognition. Neural Networks.DOI
736. Cuili Yang, Junfei Qiao, Honggui Han, Lei Wang (2018). Design of polynomial echo state networks for time series prediction. Neurocomputing.DOI
737. Honggui Han, Zhiyuan Chen, Hongxu Liu, Junfei Qiao (2018). A self-organizing interval Type-2 fuzzy-neural-network for modeling nonlinear systems. Neurocomputing.DOI
738. Junfei Qiao, Gongming Wang, Xiaoli Li, Wenjing Li (2018). A self-organizing deep belief network for nonlinear system modeling. Applied Soft Computing.DOI
739. Ke Gu, Junfei Qiao, Weisi Lin (2018). Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors. IEEE Transactions on Industrial Informatics.DOI
740. Junfei Qiao, Xi Meng, Wenjing Li (2018). An incremental neuronal-activity-based RBF neural network for nonlinear system modeling. Neurocomputing.DOI
741. Junfei Qiao, Lei Wang, Cuili Yang, Ke Gu (2018). Adaptive Levenberg-Marquardt Algorithm Based Echo State Network for Chaotic Time Series Prediction. IEEE Access.DOI
742. Junfei Qiao, Chao Lu, Wenjing Li (2018). Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm. IEEE Access.DOI
743. Junfei Qiao, Hongbiao Zhou, Cuili Yang (2018). Bare-Bones Multiobjective Particle Swarm Optimization Based on Parallel Cell Balanceable Fitness Estimation. IEEE Access.DOI
744. Junfei Qiao, Maoshen Liu, Sanyi Li, Zengzeng He, Zhuang Yang (2018). Highly Efficient Quality Assessment of 3D-Synthesized Views Based on Compression Technology. IEEE Access.DOI
745. Sanyi Li, Junfei Qiao, Maoshen Liu, Wu Li (2018). Compression-Based Quality Predictor of 3D-Synthesized Views. Communications in computer and information science.DOI
746. Jian Tang, Junfei Qiao, Z. Liu, Zhipeng Zhou, Gang Yu, Jianfeng Zhao (2018). Mill Load Parameter Forecasting Based on Multi-source Single-scale Mechanical Frequency Spectral Multiple feature Subsets. IFAC-PapersOnLine.DOI
747. Jian Tang, Junfei Qiao, Z. Liu, Zhiwei Wu, Xin Zhou, Gang Yu, Jianfeng Zhao (2018). Selective Ensemble Least Square Support Vector Machine with Its Application. IFAC-PapersOnLine.DOI
748. Jian Tang, Junfei Qiao, Weitao Li (2018). Simplified stochastic configuration network-based optimised soft measuring model by using evolutionary computing framework with its application to dioxin emission concentration estimation. International Journal of System Control and Information Processing.DOI
749. Maoshen Liu, Junfei Qiao, Wu Li, Huiqing Zhang (2018). How to Efficiently Identify Real and Pseudo 4K Video Contents? Communications in computer and information science.DOI
750. 韩红桂，武淑君，乔俊飞（2017）. 一种基于收敛速度和多样性的自组织多目标粒子群优化算法. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
751. 张昭昭，乔俊飞，余文（2017）. 多层自适应模块化神经网络结构设计. 《计算机学报》.
752. 韩红桂，陈治远，乔俊飞，张会清（2017）. 基于区间二型模糊神经网络的出水氨氮软测量. 《化工学报》.
753. 韩红桂，林征来，乔俊飞（2017）. 基于UKF的增长型模糊神经网络设计. 《控制与决策》.DOI
754. 韩红桂，张璐，乔俊飞（2017）. 基于多目标粒子群算法的污水处理智能优化控制. 《化工学报》.
755. 王功明，李文静，乔俊飞（2017）. 基于PLSR自适应深度信念网络的出水总磷预测. 《化工学报》.
756. 汤健，乔俊飞，刘卓，周晓杰（2017）. 基于机械信号的磨矿过程磨机负荷检测综述. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
757. 乔俊飞，王功明，李晓理，韩红桂，柴伟（2017）. 基于自适应学习率的深度信念网设计与应用. 《自动化学报》.DOI
758. 乔俊飞，韩改堂，周红标（2017）. 基于知识的污水生化处理过程智能优化方法. 《自动化学报》.DOI
759. 周红标，乔俊飞（2017）. 混合多目标骨干粒子群优化算法在污水处理过程优化控制中的应用. 《化工学报》.
760. 乔俊飞，周红标（2017）. 基于自组织模糊神经网络的出水总磷预测. 《控制理论与应用》.
761. 韩红桂，刘峥，乔俊飞（2017）. 基于区间二型模糊神经网络污水处理过程溶解氧控制. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
762. 卢超，杨翠丽，乔俊飞（2017）. 基于尖峰自组织径向基网络的氨氮软测量方法. 《信息与控制》.
763. 张昭昭，乔俊飞，余文（2017）. 基于LM算法的在线自适应RBF网结构优化算法. 《控制与决策》.DOI
764. 韩红桂，卢薇，乔俊飞（2017）. 一种基于种群多样性的粒子群优化算法设计及应用. 《信息与控制》.
765. 韩红桂，林征来，乔俊飞（2017）. 一种基于混合梯度下降算法的模糊神经网络设计及应用. 《控制与决策》.DOI
766. 侯莹，韩红桂，乔俊飞（2017）. 基于参数动态调整的多目标差分进化算法. 《控制与决策》.DOI
767. Jian Tang, Junfei Qiao, Tianyou Chai, Zhuo Liu, Xiaojie Zhou (2017). Dual-layer Multi-scale Latent Structure Selective Ensemble Algorithm Based on Adaptive Multi-kernel Selection for Mill Load Parameters forecasting. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
768. Gongming Wang, Wenjing Li, Junfei Qiao, Guandi Wu (2017). Nonlinear system identification using deep belief network based on PLSR. Cybersecurity and Cyberforensics Conference.DOI
769. Dingyuan Li, Fu Liu, Qiao Junfei, Rong Li (2017). A modified echo state network in chaotic time series prediction. Chinese Control and Decision Conference (CCDC).DOI
770. Ke Gu, Dacheng Tao, Junfei Qiao, Weisi Lin (2017). Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data. IEEE Transactions on Neural Networks and Learning Systems.DOI
771. Honggui Han, Xiaolong Wu, Zheng Liu, Junfei Qiao (2017). Design of Self-Organizing Intelligent Controller Using Fuzzy Neural Network. IEEE Transactions on Fuzzy Systems.DOI
772. Honggui Han, Lu Zhang, Junfei Qiao (2017). Data-Based Predictive Control for Wastewater Treatment Process. IEEE Access.DOI
773. Ying Hou, Cuili Yang, Junfei Qiao, Honggui Han (2017). An adaptive multi-objective differential evolution algorithm based on evolutionary process information. International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).DOI
774. Shengli Du, Junfei Qiao (2017). Stability analysis and L1-gain controller synthesis of switched positive T–S fuzzy systems with time-varying delays. Neurocomputing.DOI
775. Honggui Han, Zheng Liu, Luming Ge, Junfei Qiao (2017). Prediction of sludge bulking using the knowledge-leverage-based fuzzy neural network. Water Science & Technology.DOI
776. Honggui Han, Shuo Zhang, Junfei Qiao, Xiaoshuang Wang (2017). An intelligent detecting system for permeability prediction of MBR. Water Science & Technology.DOI
777. Honggui Han, Xiaolong Wu, Lu Zhang, Yu Tian, Junfei Qiao (2017). Self-Organizing RBF Neural Network Using an Adaptive Gradient Multiobjective Particle Swarm Optimization. IEEE Transactions on Cybernetics.DOI
778. Junfei Qiao, Gongming Wang, Wenjing Li, Xiaoli Li (2017). A deep belief network with PLSR for nonlinear system modeling. Neural Networks.DOI
779. Honggui Han, Lu Zhang, Xiaolong Wu, Junfei Qiao (2017). An Efficient Second-Order Algorithm for Self-Organizing Fuzzy Neural Networks. IEEE Transactions on Cybernetics.DOI
780. Honggui Han, Yanan Guo, Junfei Qiao (2017). Nonlinear system modeling using a self-organizing recurrent radial basis function neural network. Applied Soft Computing.DOI
781. Junfei Qiao, Ying Hou, Honggui Han (2017). Optimal control for wastewater treatment process based on an adaptive multi-objective differential evolution algorithm. Neural Computing and Applications.DOI
782. Jian Tang, Junfei Qiao, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu (2017). Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model. Neurocomputing.DOI
783. Honggui Han, Wei Lü, Lu Zhang, Junfei Qiao (2017). Adaptive Gradient Multiobjective Particle Swarm Optimization. IEEE Transactions on Cybernetics.DOI
784. Jian Tang, Junfei Qiao, Ke Gu, Aijun Yan (2017). Dioxin soft measuring method in municipal solid waste incineration based on virtual sample generation. Chinese Automation Congress.DOI
785. Jian Tang, Junfei Qiao, Zhuo Liu, Zhiwei Wu, Xiaojie Zhou (2017). Selective ensemble simulation meta-modeling approach based on multiple kernel features extraction and fuzzy inference. Chinese Automation Congress.DOI
786. Junfei Qiao, Gaitang Han, Honggui Han, Cuili Yang, Wei Li (2017). A Hybrid Intelligent Optimal Control System Design for Wastewater Treatment Process. Information Technology And Control.DOI
787. Junfei Qiao, Ying Hou, Lu Zhang, Honggui Han (2017). Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation. Neurocomputing.DOI
788. Ke Gu, Junfei Qiao, Patrick Le Callet, Zhifang Xia, Weisi Lin (2017). Using multiscale analysis for blind quality assessment of DIBR-synthesized images. Proceedings - International Conference on Image Processing.DOI
789. Honggui Han, Xiaolong Wu, Luming Ge, Junfei Qiao (2017). A sludge volume index (SVI) model based on the multivariate local quadratic polynomial regression method. Chinese Journal of Chemical Engineering.DOI
790. Xi Meng, Paweł Różycki, Junfei Qiao, Bogdan M. Wilamowski (2017). Nonlinear System Modeling Using RBF Networks for Industrial Application. IEEE Transactions on Industrial Informatics.DOI
791. Shuguang Zhu, Honggui Han, Min Guo, Junfei Qiao (2017). A data-derived soft-sensor method for monitoring effluent total phosphorus. Chinese Journal of Chemical Engineering.DOI
792. Qili Chen, Junfei Qiao, Yi Zou (2017). A Self Organizing Recurrent Neural Network. International Journal of Artificial Intelligence & Applications.DOI
793. Ke Gu, Vinit Jakhetiya, Junfei Qiao, Xiaoli Li, Weisi Lin, Daniël Thalmann (2017). Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description. IEEE Transactions on Image Processing.DOI
794. Liguo Zhang, Christophe Prieur, Junfei Qiao (2017). Local Exponential Stabilization of Semi-Linear Hyperbolic Systems by Means of a Boundary Feedback Control. IEEE Control Systems Letters.DOI
795. Shanshan Zhou, Wenjing Li, Junfei Qiao (2017). Prediction of PM2.5 concentration based on recurrent fuzzy neural network. Chinese Control Conference (CCC).DOI
796. Jinchao Xu, Cuili Yang, Junfei Qiao (2017). A novel dissolve oxygen control method based on fuzzy neural network. Chinese Control Conference (CCC).DOI
797. Fei Li, Cuili Yang, Junfei Qiao (2017). A novel RBF neural network design based on immune algorithm system. Chinese Control Conference (CCC).DOI
798. Gongming Wang, Junfei Qiao, Xiaoli Li, Lei Wang, Xiaolong Qian (2017). Improved Classification with Semi-supervised Deep Belief Network. IFAC-PapersOnLine.DOI
799. Shijie Mai, Cuili Yang, Junfei Qiao (2017). A recurrent RBF neural network based on adaptive optimum steepest descent learning algorithm. Chinese Control Conference (CCC).DOI
800. Lei Wang, Cuili Yang, Junfei Qiao, Gongming Wang (2017). An echo state network based on Levenberg-Marquardt algorithm. Chinese Control Conference (CCC).DOI
801. Jian Tang, Junfei Qiao, Zhuo Liu, Tianyou Chai, Wen Yu (2017). Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data1. IEEE International Conference on Information and Automation (ICIA).DOI
802. Jian Tang, Junfei Qiao, Zhiwei Wu, Tianyou Chai, Jian Zhang, Wen Yu (2017). Vibration and acoustic frequency spectra for industrial process modeling using selective fusion multi-condition samples and multi-source features. Mechanical Systems and Signal Processing.DOI
803. Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang (2017). An improved algorithm for building self-organizing feedforward neural networks. Neurocomputing.DOI
804. Ke Gu, Jun Wei Zhou, Junfei Qiao, Guangtao Zhai, Weisi Lin, Alan Conrad Bovik (2017). No-Reference Quality Assessment of Screen Content Pictures. IEEE Transactions on Image Processing.DOI
805. Honggui Han, Zheng-Lai Lin, Junfei Qiao (2017). Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm. Neurocomputing.DOI
806. Qili Chen, Junfei Qiao, Yi Zou (2017). A Self-Organizing Recurrent Neural Network Based on Dynamic Analysis.DOI
807. Jing Bi, Haitao Yuan, Junfei Qiao, MengChu Zhou, Xiao Na Song (2017). Temporal request scheduling for energy-efficient cloud data centers. IEEE International Conference on Networking, Sensing and Control (ICNSC).DOI
808. Junfei Qiao, Gaitang Han, Honggui Han, Wei Chai (2017). Wastewater treatment control method based on a rule adaptive recurrent fuzzy neural network. International Journal of Intelligent Computing and Cybernetics.DOI
809. Honggui Han, Wei Lü, Junfei Qiao (2017). An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods. IEEE Transactions on Cybernetics.DOI
810. Honggui Han, Shuo Zhang, Junfei Qiao (2017). An adaptive growing and pruning algorithm for designing recurrent neural network. Neurocomputing.DOI
811. Junfei Qiao, Jie Cai, Honggui Han, Jianxian Cai (2017). Predicting PM2.5 Concentrations at a Regional Background Station Using Second Order Self-Organizing Fuzzy Neural Network. Atmosphere.DOI
812. Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan (2017). Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. Lecture notes in computer science.DOI
813. 韩红桂，卢薇，乔俊飞（2016）. 基于种群多样性的粒子群优化算法设计及应用. 《第27届中国过程控制会议（CPCC2016）》.
814. 侯莹，韩红桂，乔俊飞（2016）. 基于参数动态调整的多目标差分进化算法设计. 《第27届中国过程控制会议（CPCC2016）摘要集》.
815. 柴伟，纪镐南，乔俊飞（2016）. 基于等距映射的非线性系统集员辨识. 《第27届中国过程控制会议（CPCC2016）摘要集》.
816. 王功明，李文静，乔俊飞（2016）. 一种基于重构误差的连续型深度信念网络的深度确定方法. 《第27届中国过程控制会议（CPCC2016）摘要集》.
817. 韩红桂，张璐，乔俊飞（2016）. 基于多目标粒子群的污水处理智能优化控制. 《第27届中国过程控制会议（CPCC2016）摘要集》.
818. 韩红桂，张硕，乔俊飞（2016）. 基于递归RBF神经网络的MBR膜透水率软测量研究. 《第27届中国过程控制会议（CPCC2016）》.
819. 周红标，乔俊飞（2016）. 基于高维k近邻互信息的出水总磷特征选择. 《第27届中国过程控制会议（CPCC2016）》.
820. 栗三一，李文静，乔俊飞（2016）. 基于信息分布的多层感知器权值初始化方法. 《第27届中国过程控制会议（CPCC2016）摘要集》.
821. 韩改堂，乔俊飞，韩红桂（2016）. 基于自适应递归模糊神经网络的污水处理控制. 《控制理论与应用》.
822. 李凡军，乔俊飞（2016）. 一种增量式模块化回声状态网络. 《控制与决策》.
823. 韩改堂，乔俊飞，韩红桂（2016）. 基于递归模糊神经网络的污水处理控制方法. 《化工学报》.
824. 韩红桂，张璐，乔俊飞（2016）. 一种基于自适应回归核函数的污水处理能耗模型. 《化工学报》.
825. 乔俊飞，付文韬，韩红桂（2016）. 基于SOTSFNN的溶解氧浓度控制方法. 《化工学报》.
826. Zhiqiang Hu, Wenjing Li, Junfei Qiao (2016). Prediction of PM2.5 based on Elman neural network with chaos theory. Cybersecurity and Cyberforensics Conference.DOI
827. Junfei Qiao, Zhiqiang Hu, Wenjing Li (2016). Soft Measurement Modeling Based on Chaos Theory for Biochemical Oxygen Demand (BOD). Water.DOI
828. Honggui Han, Yanan Guo, Junfei Qiao (2016). Self-organization of a recurrent RBF neural network using an information-oriented algorithm. Neurocomputing.DOI
829. Junfei Qiao, Wei Zhang (2016). Dynamic multi-objective optimization control for wastewater treatment process. Neural Computing and Applications.DOI
830. Honggui Han, Wei Lü, Ying Hou, Junfei Qiao (2016). An Adaptive-PSO-Based Self-Organizing RBF Neural Network. IEEE Transactions on Neural Networks and Learning Systems.DOI
831. Junfei Qiao, Wei Li, Xiao‐Jun Zeng, Honggui Han (2016). Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis. Applied Soft Computing.DOI
832. Honggui Han, Lu-Ming Ge, Junfei Qiao (2016). An adaptive second order fuzzy neural network for nonlinear system modeling. Neurocomputing.DOI
833. Chao Lu, Honggui Han, Junfei Qiao, Cuili Yang (2016). Design of a self-organizing recurrent RBF neural network based on spiking mechanism. Chinese Control Conference (CCC).DOI
834. Qinchao Meng, Junfei Qiao, Cuili Yang (2016). Multi-objective design of the Water distribution systems using SPEA2. Chinese Control Conference (CCC).DOI
835. Gaitang Han, Honggui Han, Junfei Qiao (2016). A GPRFNN-based control system for wastewater treatment process. Chinese Control Conference (CCC).DOI
836. Junfei Qiao, Sanyi Li, Wenjing Li (2016). Mutual information based weight initialization method for sigmoidal feedforward neural networks. Neurocomputing.DOI
837. Junfei Qiao, Wei Zhang, Honggui Han (2016). Self-organizing fuzzy control for dissolved oxygen concentration using fuzzy neural network1. Journal of Intelligent & Fuzzy Systems.DOI
838. Fanjun Li, Junfei Qiao, Honggui Han, Cuili Yang (2016). A self-organizing cascade neural network with random weights for nonlinear system modeling. Applied Soft Computing.DOI
839. Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li (2016). Growing Echo-State Network With Multiple Subreservoirs. IEEE Transactions on Neural Networks and Learning Systems.DOI
840. 付文韬，乔俊飞，韩红桂（2015）. 基于SO-TSFNN的溶解氧浓度控制系统. 《第26届中国过程控制会议（CPCC2015）论文集》.
841. 乔俊飞，李荣，韩红桂（2015）. 基于贡献率的离散Hopfield结构优化. 《控制与决策》.
842. 潘广源，柴伟，乔俊飞（2015）. DBN网络的深度确定方法. 《控制与决策》.
843. 张昭昭，乔俊飞（2015）. 回声状态网络在瓦斯浓度预测中的应用研究. 《第26届中国过程控制会议（CPCC2015）》.
844. 乔俊飞，孙玉庆，韩红桂（2015）. 基于改进K-means算法的RBF网络结构设计. 《第26届中国过程控制会议（CPCC2015）》.
845. 韩改堂，乔俊飞，韩红桂（2015）. 基于递归模糊神经网络的污水处理多变量控制系统. 《第26届中国过程控制会议（CPCC2015）》.
846. 韩红桂，张璐，乔俊飞（2015）. 一种基于数据驱动的污水处理能耗模型研究. 《第26届中国过程控制会议（CPCC2015）》.
847. 杨刚，戴丽珍，杨辉，乔俊飞（2015）. 跨越—侧抑制神经网络序列学习BOD特征建模. 《信息与控制》.
848. 乔俊飞，王超，魏静（2015）. 一种具有局部搜索的自适应粒子群算法. 《信息与控制》.
849. 张伟，乔俊飞，李凡军（2015）. 溶解氧浓度的直接自适应动态神经网络控制方法. 《控制理论与应用》.
850. 乔俊飞，潘广源，韩红桂（2015）. 一种连续型深度信念网的设计与应用. 《自动化学报》.DOI
851. 乔俊飞，蔡杰，韩红桂（2015）. 基于T-S模糊神经网络的PM 2.5 预测研究. 《第26届中国过程控制会议（CPCC2015）论文集》.
852. Qili Chen, Honggui Han, Junfei Qiao (2015). Optimal control of wastewater treatment process based on a neural network HJB approach. 《第26届中国过程控制会议（CPCC2015）论文集》.
853. Dingyuan Li, Fu Liu, Qiao Junfei (2015). Research on hierarchical modular ESN and its application. Chinese Control Conference (CCC).DOI
854. Junfei Qiao, Fanjun Li, Hong-Gui Han, Wenjing Li (2015). Constructive algorithm for fully connected cascade feedforward neural networks. Neurocomputing.DOI
855. Honggui Han, Ying Li, Yanan Guo, Junfei Qiao (2015). A soft computing method to predict sludge volume index based on a recurrent self-organizing neural network. Applied Soft Computing.DOI
856. Honggui Han, Lu Zhang, Ying Hou, Junfei Qiao (2015). Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. IEEE Transactions on Neural Networks and Learning Systems.DOI
857. Wei Li, Junfei Qiao, Xiao‐Jun Zeng (2015). Accurate similarity analysis and computing of Gaussian membership functions for FNN simplification. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
858. Wen-Tao Fu, Junfei Qiao, Gaitang Han, Meng (2015). Dissolved oxygen control system based on the T-S fuzzy neural network.DOI
859. Xi Meng, Junfei Qiao, Honggui Han (2015). An ART-like algorithm for constructing RBF neural networks.DOI
860. Honggui Han, Wen-Dong Zhou, Junfei Qiao, Gang Feng (2015). A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems. IEEE Transactions on Neural Networks and Learning Systems.DOI
861. 李凡军，韩红桂，乔俊飞（2014）. 基于灵敏度分析法的ELM剪枝算法. 《控制与决策》.
862. 韩广，乔俊飞，韩红桂，柴伟（2014）. 基于Hopfield神经网络的污水处理过程优化控制. 《控制与决策》.
863. 乔俊飞，王莉莉，韩红桂（2014）. 基于ESN的污水处理多变量自适应预测控制. 《信息与控制》.
864. 乔俊飞，袁喜春，韩红桂（2014）. 基于EKF的自组织T-S模糊Elman网络. 《控制与决策》.
865. 李荣，乔俊飞，韩红桂（2014）. 一种改进型离散Hopfield学习算法. 《控制与决策》.DOI
866. 任东红，韩红桂，乔俊飞（2014）. 基于IHPSO算法的污水处理过程集成神经网络软测量模型. 《信息与控制》.
867. 袁喜春，韩红桂，乔俊飞（2014）. 动态T-S模糊Elman网络及其应用. 《信息与控制》.
868. 杨刚，戴丽珍，杨辉，乔俊飞（2014）. 跨越-侧抑制神经网络序列学习BOD特征建模. 《第25届中国过程控制会议》.
869. 李凡军，乔俊飞，韩红桂（2014）. 网络结构增长的极端学习机算法. 《控制理论与应用》.
870. 蒙西，乔俊飞，韩红桂（2014）. 基于ART的RBF网络结构设计. 《控制与决策》.DOI
871. 张昭昭，乔俊飞，韩红桂（2014）. 基于信息熵的动态前馈神经网络结构设计. 《信息与控制》.
872. Wei Li, Honggui Han, Junfei Qiao (2014). An input-output clustering approach for structure identification of T-S fuzzy neural networks.DOI
873. Junfei Qiao, Wei Li, Honggui Han (2014). Soft Computing of Biochemical Oxygen Demand Using an Improved T–S Fuzzy Neural Network. Chinese Journal of Chemical Engineering.DOI
874. Guangyuan Pan, Junfei Qiao, Wei Chai, N.J. Dimopoulos (2014). An improved RBM based on Bayesian Regularization.DOI
875. Honggui Han, Lidan Wang, Junfei Qiao, Gang Feng (2014). A Spiking-based mechanism for self-organizing RBF neural networks.DOI
876. Wei Zhang, Junfei Qiao (2014). Direct adaptive neural network control for wastewater treatment process. World Congress on Intelligent Control and Automation.DOI
877. Changfen Liu, Honggui Han, Chao Wang, Junfei Qiao (2014). An adaptive Differential Evolution algorithm for sewer networks design. World Congress on Intelligent Control and Automation.DOI
878. Honggui Han, Hu-Hai Qian, Junfei Qiao (2014). Nonlinear multiobjective model-predictive control scheme for wastewater treatment process. Journal of Process Control.DOI
879. 薄迎春，乔俊飞（2013）. 启发式动态规划在污水处理过程控制中的应用. 《控制理论与应用》.
880. 许少鹏，韩红桂，乔俊飞（2013）. 基于模糊递归神经网络的污泥容积指数预测模型. 《化工学报》.
881. 乔俊飞，薄迎春，韩广（2013）. 基于ESN的多指标DHP控制策略在污水处理过程中的应用. 《自动化学报》.
882. 韩广，乔俊飞，薄迎春（2013）. 溶解氧浓度的前馈神经网络建模控制方法. 《控制理论与应用》.
883. 杨刚，乔俊飞，薄迎春，韩红桂（2013）. 一种基于大脑皮层结构的侧抑制神经网络. 《控制与决策》.
884. 傅嗣鹏，乔俊飞，韩红桂（2013）. 基于锦标赛选择变异策略的改进差分进化算法及函数优化. 《计算机科学》.
885. Wei Chai, Junfei Qiao (2013). Passive robust fault detection using RBF neural modeling based on set membership identification. Engineering Applications of Artificial Intelligence.DOI
886. Honggui Han, Lidan Wang, Junfei Qiao (2013). Hierarchical extreme learning machine for feedforward neural network. Neurocomputing.DOI
887. Guangyuan Pan, Junfei Qiao, Honggui Han (2013). A new strategy of chaotic PSO and its application in optimization design for pipe network.
888. Honggui Han, Xiaolong Wu, Junfei Qiao (2013). Nonlinear Systems Modeling Based on Self-Organizing Fuzzy-Neural-Network With Adaptive Computation Algorithm. IEEE Transactions on Cybernetics.DOI
889. Honggui Han, Junfei Qiao (2013). Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process. IEEE Transactions on Industrial Electronics.DOI
890. Hong-Gui Han, Xiaolong Wu, Junfei Qiao (2013). Real-Time Model Predictive Control Using a Self-Organizing Neural Network. IEEE Transactions on Neural Networks and Learning Systems.DOI
891. Wei Chai, Junfei Qiao, Heng Wang (2013). Robust fault detection using set membership estimation and T-S fuzzy neural network. Proceedings of the ... American Control Conference/Proceedings of the American Control Conference.DOI
892. Junfei Qiao, Ying-Chun Bo, Wei Chai, Honggui Han (2013). Adaptive optimal control for a wastewater treatment plant based on a data-driven method. Water Science & Technology.DOI
893. Junfei Qiao, Zhaozhao Zhang, Ying-Chun Bo (2013). An online self-adaptive modular neural network for time-varying systems. Neurocomputing.DOI
894. Honggui Han, Lidan Wang, Junfei Qiao (2013). Efficient self-organizing multilayer neural network for nonlinear system modeling. Neural Networks.DOI
895. Honggui Han, Junfei Qiao (2013). Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process. IEEE Transactions on Control Systems Technology.DOI
896. Wei Chai, Junfei Qiao (2013). Non-linear system identification and fault detection method using RBF neural networks with set membership estimation. International Journal of Modelling Identification and Control.DOI
897. Gang Yang, Junfei Qiao, Wei Li, Wei Chai (2013). The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network. Lecture notes in computer science.DOI
898. 张昭昭，乔俊飞（2012）. 基于在线减法聚类的RBF神经网络结构设计. 《控制与决策》.DOI
899. 韩红桂，乔俊飞，薄迎春（2012）. 基于信息强度的RBF神经网络结构设计研究. 《自动化学报》.
900. 薄迎春，乔俊飞，张昭昭（2012）. 一种具有small world特性的ESN结构分析与设计. 《控制与决策》.
901. Honggui Han, Junfei Qiao (2012). A structure optimisation algorithm for feedforward neural network construction. Neurocomputing.DOI
902. Wei Chai, Junfei Qiao (2012). Nonlinear system modeling and fault detection method using set membership estimation and T-S fuzzy model. World Congress on Intelligent Control and Automation.DOI
903. Junfei Qiao, Honggui Han (2012). Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach. Automatica.DOI
904. Xichun Yuan, Honggui Han, Junfei Qiao (2012). The sludge volume index soft sensor model based on PCA-ElmanNN. 2022 International Joint Conference on Neural Networks (IJCNN).DOI
905. Wei Chai, Xianfang Sun, Junfei Qiao (2012). Set membership state estimation with improved zonotopic description of feasible solution set. International Journal of Robust and Nonlinear Control.DOI
906. Honggui Han, Junfei Qiao (2012). Prediction of activated sludge bulking based on a self-organizing RBF neural network. Journal of Process Control.DOI
907. Honggui Han, Junfei Qiao, Qili Chen (2012). Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network. Control Engineering Practice.DOI
908. Junfei Qiao, Xiaoqi Huang, Honggui Han (2012). Recurrent Neural Network-Based Control for Wastewater Treatment Process. Lecture notes in computer science.DOI
909. Junfei Qiao, Donghong Ren, Honggui Han (2012). Soft Measurement Modeling Based on Hierarchically Neural Network (HNN) for Wastewater Treatment. Lecture notes in computer science.DOI
910. 张昭昭，乔俊飞，杨刚（2011）. 一种功能分区的BP神经网络结构设计方法. 《控制与决策》.
911. 史雄伟，乔俊飞，苑明哲（2011）. 基于改进粒子群优化算法的污水处理过程优化控制. 《信息与控制》.
912. 杨维维，乔俊飞（2011）. 基于递归高阶神经网络的污水处理系统建模. 《信息与控制》.
913. Honggui Han, Junfei Qiao (2011). Adaptive Computation Algorithm for RBF Neural Network. IEEE Transactions on Neural Networks and Learning Systems.DOI
914. W. Chai, Xianfang Sun, Junfei Qiao (2011). Improved zonotopic method to set membership identification for systems with time-varying parameters. IET Control Theory and Applications.DOI
915. Lei Tong, Guang Da Han, Junfei Qiao (2011). Design of water distribution network via ant colony optimization. International Conference on Intelligent Control and Information Processing.DOI
916. Honggui Han, Qili Chen, Junfei Qiao (2011). An efficient self-organizing RBF neural network for water quality prediction. Neural Networks.DOI
917. Ying-Chun Bo, Junfei Qiao, Gang Yang (2011). A Modular Neural Networks ensembling method based on fuzzy decision-making. International Conference on Electric Information and Control Engineering.DOI
918. Honggui Han, Junfei Qiao (2011). Adaptive dissolved oxygen control based on dynamic structure neural network. Applied Soft Computing.DOI
919. Guang Han, Junfei Qiao (2011). Research on dissolved oxygen concentration modeling and controlling based on neural network.
920. Gang Yang, Junfei Qiao, Mingzhe Yuan (2011). A Novel Spatial Architecture Artificial Neural Network Based on Multilayer Feedforward Network with Mutual Inhibition among Hidden Units. Lecture notes in computer science.DOI
921. Ying-Chun Bo, Junfei Qiao, Shuwei Wang (2011). Research on Design Method of Small World Property ESN. Lecture notes in computer science.DOI
922. Junfei Qiao (2011). Wastewater Treatment System Modeling Based on High-Order Recurrent Neural Network. Information and Computation.
923. Junfei Qiao (2011). Predictive control for wastewater treatment process based on neural network. Journal of Jilin University.
924. Junfei Qiao (2011). Application of RBF-NN in Soft Sensing Based on Entropy. Modern Electronics Technique.
925. 乔俊飞，韩红桂（2010）. 神经网络结构动态优化设计的分析与展望. 《控制理论与应用》.
926. 乔俊飞，李淼，刘江（2010）. 一种神经网络快速修剪算法. 《电子学报》.
927. 张昭昭，乔俊飞，韩红桂（2010）. 一种基于神经网络复杂度的修剪算法. 《控制与决策》.
928. 乔俊飞，韩红桂（2010）. RBF神经网络的结构动态优化设计. 《自动化学报》.
929. 乔俊飞，李荣（2010）. 利用三维细胞自动机模拟活性污泥法的处理过程. 《信息与控制》.
930. 韩红桂，甄博然，乔俊飞（2010）. 动态结构优化神经网络及其在溶解氧控制中的应用. 《信息与控制》.
931. 韩红桂，李淼，乔俊飞（2010）. 基于模型输出敏感度分析的动态神经网络结构设计. 《电子学报》.
932. 乔俊飞，樊瑞元，韩红桂，阮晓钢（2010）. 机器人动态神经网络导航算法的研究和实现. 《控制理论与应用》.
933. Honggui Han, Junfei Qiao (2010). A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm. IEEE Transactions on Fuzzy Systems.DOI
934. Zhaozhao Zhang, Qili Chen, Junfei Qiao (2010). A merging and splitting algorithm based on mutual information for design neural networks.DOI
935. Zhaozhao Zhang, Junfei Qiao (2010). A node pruning algorithm for feedforward neural network based on neural complexity. International Conference on Intelligent Control and Information Processing.DOI
936. Xiongwei Shi, Junfei Qiao (2010). Neural network predictive optimal control for wastewater treatment. International Conference on Intelligent Control and Information Processing.DOI
937. Wei Koong Chai, Xianfang Sun, Junfei Qiao (2010). Set membership identification using S-Isomap and K-NNC.
938. Qili Chen, Wei Chai, Junfei Qiao (2010). Modeling of wastewater treatment process using recurrent neural network. World Congress on Intelligent Control and Automation.DOI
939. Guoyu Zuo, Peng Zhang, Junfei Qiao (2010). Path planning algorithm based on sub-region for agricultural robot. International Asia Conference on Informatics in Control, Automation and Robotics.DOI
940. Guoyu Zuo, Yanfeng Fan, Junfei Qiao (2010). Doorplate Recognition for a Mobile Robot Based on PSO and RBF Neural Network. International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).DOI
941. Junfei Qiao, Honggui Han (2010). A REPAIR ALGORITHM FOR RADIAL BASIS FUNCTION NEURAL NETWORK AND ITS APPLICATION TO CHEMICAL OXYGEN DEMAND MODELING. International Journal of Neural Systems.DOI
942. Honggui Han, Qili Chen, Junfei Qiao (2010). Research on an online self-organizing radial basis function neural network. Neural Computing and Applications.DOI
943. Junfei Qiao (2010). Dynamic Structure Optimization Neural Network and Its Applications to Dissolved Oxygenic(DO) Control. Information and Computation.
944. Junfei Qiao (2010). Design of Dynamic Neural Network Based on the Sensitivity Analysis of Model Output. Dianzi xuebao.
945. Wei Chai, Xianfang Sun, Junfei Qiao (2010). Set membership identification using SLLE and NMC. World Congress on Intelligent Control and Automation.DOI
946. 韩红桂，李淼，乔俊飞（2009）. 基于模型输出敏感度分析法的动态RBF神经网络设计. 《信息与控制》.
947. Honggui Han, Junfei Qiao (2009). Biological oxygen demand (BOD) soft measuring based on dynamic neural network (DNN): A simulation study.
948. Junfei Qiao, Miao Li, Honggui Han (2009). A self-organizing neural network using fast training and pruning.DOI
949. Junfei Qiao, Ruiyuan Fan, Honggui Han, Xiaogang Ruan (2009). Q-Learning Based on Dynamical Structure Neural Network for Robot Navigation in Unknown Environment. Lecture notes in computer science.DOI
950. Junfei Qiao (2009). Hierarchical Fuzzy Control for Self-balancing Two-wheel Robots. Control Engineering of China.
951. Junfei Qiao (2009). Design of the Dynamic RBF Neural Network Based on the Sensitivity Analysis of Model Output. Information and Computation.
952. 乔俊飞，韩红桂，张颖（2008）. 基于LabVIEW的污水处理过程动态仿真研究. 《仪器仪表学报》.DOI
953. 乔俊飞，王会东（2008）. 模糊神经网络的结构自组织算法及应用. 《控制理论与应用》.
954. Honggui Han, Junfei Qiao (2008). Research on MISO fuzzy neural network and its application. World Congress on Intelligent Control and Automation.DOI
955. Junfei Qiao (2008). Reinforcement Learning Based on Many Parallel CMAC Neural Networks. Jisuanji fangzhen.
956. Mingai Li, Li-fang Jiao, Junfei Qiao, Xiaogang Ruan (2008). Balance control of robot with CMAC based Q-learning. Chinese Control and Decision Conference (CCDC).DOI
957. Junfei Qiao, Zhanjun Hou, Xiaogang Ruan (2008). Application of reinforcement learning based on neural network to dynamic obstacle avoidance. International Conference on Information and Automation.DOI
958. Junfei Qiao, Ying Zhang, Honggui Han (2008). Fast unit pruning algorithm for feedforward neural network design. Applied Mathematics and Computation.DOI
959. Su Song, Yan-Yan Qi, Junfei Qiao (2007). Research on de-noising of pulse signal based on fuzzy threshold in wavelet packet domain. International Conference on Wavelet Analysis and Pattern Recognition.DOI
960. Junfei Qiao, Huidong Wang (2007). A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling. Neurocomputing.DOI
961. Junfei Qiao, Zhanjun Hou, Xiaogang Ruan (2007). Q-learning Based on Neural Network in Learning Action Selection of Mobile Robot. IEEE International Conference on Automation and Logistics (ICAL).DOI
962. Junfei Qiao, Honggui Han, Yan-Mei Jia (2007). An adaptive self-organizing fuzzy neural network. International Conference on Wavelet Analysis and Pattern Recognition.DOI
963. 李明爱，乔俊飞，阮晓钢（2006）. 基于递归神经网络的移动域控制方法. 《控制与决策》.DOI
964. 刘超彬，乔俊飞（2006）. 污水处理过程中对泥龄的模糊神经网络控制. 《信息与控制》.
965. 余颖，乔俊飞（2006）. 基于ANFIS的污水处理过程建模的研究. 《计算机工程》.
966. 李明爱，乔俊飞，阮晓钢（2006）. 用连续Hopfield网络实现无限时域上的最优控制. 《控制理论与应用》.
967. Mingai Li, Naigong Yu, Junfei Qiao, Xiaogang Ruan (2006). INFINITE-HORIZON OPTIMAL CONTROL BASED ON CONTINUOUS-TIME CONTINUOUS-STATE HOPFIELD NEURAL NETWORKS. International Journal of Wavelets Multiresolution and Information Processing.DOI
968. Xiaogang Ruan, Mingxiao Ding, Daoxiong Gong, Junfei Qiao (2006). On-line adaptive control for inverted pendulum balancing based on feedback-error-learning. Neurocomputing.DOI
969. Jian Ye, Junfei Qiao, Mingai Li, Xiaogang Ruan (2006). A tabu based neural network learning algorithm. Neurocomputing.DOI
970. Mingai Li, Junfei Qiao, Xiaogang Ruan (2006). A Modified Difference Hopfield Neural Network and its application.DOI
971. Chaobin Liu, Junfei Qiao, Fangfang Zhang (2006). The Control of Wastewater Treatment Process Based on Fuzzy Neural Network. World Congress on Intelligent Control and Automation.DOI
972. Fangfang Zhang, Junfei Qiao, Chaobin Liu, Naigong Yu, Xiaogang Ruan (2006). A Cellular Automata Model for the Sequencing Batch Reactor of Activated Sludge Processes. World Congress on Intelligent Control and Automation.DOI
973. Ge Guo, Zi Ma, Junfei Qiao (2006). State-PID feedback control with application to a robot vibration absorber. International Journal of Modelling Identification and Control.DOI
974. Junfei Qiao (2006). Application of GA-based Fuzzy Logic Controller to Bending Roll Control Systems. Control Engineering of China.
975. Junfei Qiao (2006). Fuzzy Neural Network Control of Sludge Age in Wastewater Treatment Processes. Information and Computation.
976. 李明爱，乔俊飞，阮晓钢（2005）. 用改进的差分式Hopfield网络实现线性二次型最优控制. 《控制理论与应用》.
977. Yanling Lu, Zhe Xu, Junfei Qiao, Jianmin Duan (2005). APPLICATION OF RBF FOR STRIP SHAPE RECOGNITION. IFAC Proceedings Volumes.DOI
978. 孙新雨，乔俊飞，叶旭东（2004）. 基于正则化方法的神经网络在板形软测量中的应用. 《第五届全球智能控制与自动化大会会议论文集（4）》.
979. 余颖，乔俊飞（2004）. 活性污泥法污水处理过程的建模与仿真技术的研究. 《信息与控制》.
980. 李建更，乔俊飞，杨明（2004）. 关于最优调度邻域鲁棒性的几个结论. 《第五届全球智能控制与自动化大会会议》.
981. 余颖，乔俊飞，叶旭东（2004）. 基于神经网络的污水处理过程建模的研究. 《第五届全球智能控制与自动化大会会议论文集（4）》.
982. Weili Ran, Junfei Qiao, Xudong Ye (2004). Soft-measuring approach to on-line predict BOD based on PCA time-delay neural network. World Congress on Intelligent Control and Automation.DOI
983. Yu‐Ling Hu, Junfei Qiao (2004). Fuzzy neural network control of uncertain parameters system. World Congress on Intelligent Control and Automation.DOI
984. Ying Yu, Junfei Qiao, Xudong Ye (2004). Modeling study of sludge process based on neural network. World Congress on Intelligent Control and Automation.DOI
985. Xinyu Sun, Junfei Qiao, Xudong Ye (2004). A regularization-based neural network for the measurement of shape information. World Congress on Intelligent Control and Automation.DOI
986. Ge Guo, Junfei Qiao, Chong Zhao Han (2004). Controllability of periodic systems: continuous and discrete. IEE Proceedings - Control Theory and Applications.DOI
987. Junfei Qiao (2004). Soft-measuring Technique to Predict BOD Based on PCA-GABP Neural Networks. Control Engineering of China.
988. 乔俊飞，王笑波，柴天佑（2000）. 带材板形的一种复合控制方法(英文). 《控制理论与应用》.
989. 郭戈，乔俊飞，王伟，柴天佑（1998）. 基于模糊模式识别的漏钢预报. 《信息与控制》.
990. 郭戈，乔俊飞，王伟，柴天佑（1998）. 基于模糊神经网络的一种漏钢预报方法. 《控制理论与应用》.

预印本

1. Yueyang Sun, Chase Wu, Nan Guo, Junfei Qiao (2025). Fusing Physics into Machine Learning for Complex Air Pollutant. SSRN Electronic Journal.DOI
2. Ting Shi, Chenyi Li, Peihao Wang, Pengyu Li, Yunpeng Ao, Kai Wang, Yuling Zhang, Bo Zhou, Junfei Qiao (2025). Research on air quality data optimization based on SW-KNN algorithm.DOI
3. Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, MengChu Zhou (2024). Long-Term Time Series Anomaly Detection with Transformer and Variational Autoencoder for Water Quality. SSRN Electronic Journal.DOI
4. Honggui Han, Xing Bai, Linlin Zhang, Lu Zhang, Junfei Qiao (2023). A Distribution Knowledge-Guided Assessment Strategy for Multiobjective Particle Swarm Optimization. SSRN Electronic Journal.DOI
5. Wenjing Li, Yonglei Liu, Zhiqian Chen, Junfei Qiao (2023). Design of a Bi-Level Pso Based Modular Neural Network for Multi-Step Time Series Prediction. SSRN Electronic Journal.DOI

书籍章节

1. Jian Tang, Tianzheng Wang, Hao Tian, Wen Yu, Junfei Qiao (2025). Artificial intelligence in pollution emission control of municipal solid waste incineration process: Status and future prospects. Elsevier eBooks.DOI
2. Jian Tang, Wen Yu, Junfei Qiao, Quanmin Zhu (2025). Deep forest regression based on feature reduction and feature enhancement. Elsevier eBooks.DOI
3. Honggui Han, Lu Zhang, Junfei Qiao (2018). A Gradient Multiobjective Particle Swarm Optimization. InTech eBooks.DOI
4. Junfei Qiao, Qili Chen, Honggui Han (2011). The Chemical Oxygen Demand Modeling Based on a Dynamic Structure Neural Network. InTech eBooks.DOI
5. Junfei Qiao, Hong-gui H (2010). An Adaptive Fuzzy Neural Network Based on Self-Organizing Map (SOM). InTech eBooks.DOI
6. Junfei Qiao, Jian Ye, Honggui Han (2008). Hybrid Approaches Tabu Learning Algorithm Based Neural Network.DOI