张广泉

期刊论文

1. Ruzi Yang, Guangquan Zhang, Yi-Cheng Ye, Ming-Chao Wan (2026). An interpretable IGWO-MKRVM model for predicting excavation damaged zone thickness of drift. Scientific Reports.DOI
2. Pengqian Lu, Jie Lu, Anjin Liu, En-Shui Yu, Guangquan Zhang (2026). Autonomous Concept Drift Threshold Determination. AAAI Conference on Artificial Intelligence.DOI
3. Do Minh Thu Pham, Jie Lu, Qian Zhang, Guangquan Zhang (2026). An Intuitionistic Fuzzy Framework for Uncertainty-Aware Cross-Domain Recommendation. IEEE transactions on fuzzy systems.DOI
4. Xiaoqun Wei, Meng-Jia Wu, Guangquan Zhang, Jie Lu, Yi Zhang (2026). FW-Aug: Fourier-Wavelet Input Augmentation for Transformer-Based Time Series Forecasting. FLINS-ISKE.DOI
5. Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu (2026). Discovering Mixture Skills for Unsupervised Reinforcement Learning. AAAI Conference on Artificial Intelligence.DOI
6. Shan Ye, Kezhi Lu, Guangquan Zhang, Jie Lu (2026). PARS: Partial-Label-Learning-inspired Recommender Systems. AAAI Conference on Artificial Intelligence.DOI
7. Ming Zhou, Jie Lu, Guangquan Zhang (2026). Multi-Scale Adaptive Convolutional Graph for Multi-Stream Concept Drift. IEEE Transactions on Knowledge and Data Engineering.DOI
8. 张广泉（2025）. 新时代软件卓越工程师人才培养研究与探索. 《第33届全国计算机新科技与教育学术会议论文集》.DOI
9. Motao Duan, Haijun Mao, Guangquan Zhang, Jun-Xin Liu, Sinan Zhu, Di Wang, Hao Xie (2025). Saline–CO2 Solution Effects on the Mechanical Properties of Sandstones: An Experimental Study. Applied Sciences.DOI
10. Liyuan Gui, Nan-Yan Hu, Guangquan Zhang, Yi-Cheng Ye, Rong-Bin Tang, Jie Wang (2025). The effect of pore structure on damage behavior of MgO-Al2O3-CaO porous ceramics prepared by phosphate tailings. Construction and Building Materials.DOI
11. Liyuan Gui, Nan-Yan Hu, Yang Huang, Guangquan Zhang, Yi-Cheng Ye, Rong-Bin Tang, Jie Wang (2025). Fracture behavior of MgO-Al2O3-CaO-based porous ceramics prepared with carbon black as pore-forming agent. Construction and Building Materials.DOI
12. Hanshi Xu, Guangquan Zhang, Hua Lin, M. Grosser, Jie Lu (2025). Deep Cross Networks for Intelligent Risk Prediction of Prostate Cancer. WISE.DOI
13. Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang (2025). TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG. Annual Meeting of the Association for Computational Linguistics.DOI
14. Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang (2025). Learning Latent and Changing Dynamics in Real Non-Stationary Environments. IEEE Transactions on Knowledge and Data Engineering.DOI
15. Yuanming Huang, Jie Lu, Keqiuyin Li, Guangquan Zhang (2025). Enhancing Graph-Based Recommendations via Fuzzy Clustering and Gated Multi-View Fusion. IEEE International Conference on Fuzzy Systems.DOI
16. Dan Shang, Guangquan Zhang, Jie Lu (2025). Concept drift detection based on radial distance. Neurocomputing.DOI
17. Shanshan Ye, Jie Lu, Guangquan Zhang (2025). Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. The Web Conference.DOI
18. En-Shui Yu, Jie Lu, Kai-Hao Zhang, Guangquan Zhang (2025). Enhancing outdoor vision: Binocular desnowing with dual-stream temporal transformer. Pattern Recognition.DOI
19. Yuanming Huang, Jie Lu, Keqiuyin Li, Guangquan Zhang (2025). Learning a Wavelet Neural Filter with Mamba for Sequential Recommendation. CISM Workshops.DOI
20. Bin Zhang, Jie Lu, Anjin Liu, Xin Yao, Guangquan Zhang (2025). Tracking Correlations Between Multiple Data Streams Through Evolutionary Regressor Chains. IEEE Transactions on Cybernetics.DOI
21. Zhen Fang, Jie Lu, Guangquan Zhang (2025). Out-of-distribution detection with non-semantic exploration. Information Sciences.DOI
22. Guo-Hang Zeng, G. Tian, Guangquan Zhang, Jie Lu (2025). RoSiLC-RS:A Robust Similar Legal Case Recommender System Empowered by Large Language Model and Step-Back Prompting. Neurocomputing.DOI
23. Do Minh Thu Pham, Jie Lu, Qian Zhang, Guangquan Zhang (2025). Privacy-Aware Knowledge Transfer for Cross-Domain Recommender System. International Conference on Computational Collective Intelligence.DOI
24. Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu (2025). Global–Local Decomposition of Contextual Representations in Meta-Reinforcement Learning. IEEE Transactions on Cybernetics.DOI
25. Bin Zhang, Jie Lu, Yiliao Song, Guangquan Zhang (2025). A Multistream Concept Drift Handling Framework via Data Sharing. IEEE Transactions on Cybernetics.DOI
26. En-Shui Yu, Jie Lu, Xiao-Yu Yang, Guangquan Zhang, Zhen Fang (2025). Learning Robust Spectral Dynamics for Temporal Domain Generalization. Neural Information Processing Systems.DOI
27. Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu (2025). Twin Trust Region Policy Optimization. IEEE Transactions on Systems, Man & Cybernetics. Systems.DOI
28. Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang (2025). Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer. International Conference on Learning Representations.
29. Yue Yang, Kai-Rui Guo, Yong-Gang Zhang, Zhen Fang, Hua Lin, M. Grosser, Deon Venter, Wei Lu, Meng-Jia Wu, Dennis Cordato, Guangquan Zhang, Jie Lu (2025). MetaGeno: a chromosome-wise multi-task genomic framework for ischaemic stroke risk prediction. Briefings Bioinform..DOI
30. En-Shui Yu, Jie Lu, Guangquan Zhang (2025). Generalized Incremental Learning under Concept Drift across Evolving Data Streams. The Web Conference.DOI
31. Do Minh Thu Pham, Jie Lu, Qian Zhang, Guangquan Zhang (2025). A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems. ACM Transactions on Intelligent Systems and Technology.DOI
32. En-Shui Yu, Jie Lu, Kun Wang, Xiao-Yu Yang, Guangquan Zhang (2025). Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning. AAAI Conference on Artificial Intelligence.DOI
33. Bo Peng, Jie Lu, Yonggang Zhang, Guangquan Zhang, Zhen Fang (2025). Distributional Prototype Learning for Out-of-distribution Detection. Knowledge Discovery and Data Mining.DOI
34. Kuo Shi, Jie Lu, Shan-Shan Ye, Guangquan Zhang, Zhen Fang (2025). MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection. ACM Multimedia.DOI
35. Lidong Mi, Yan-Dong Guo, Daqian Zeng, Chun-Hua Lu, Guangquan Zhang, Yanfeng Li (2024). Evaluation of the dynamic sealing performance of cap rocks of underground gas storage under multi-cycle alternating loads. Energy Geoscience.DOI
36. Guangquan Zhang, Sinan Zhu, Daqian Zeng, Yuewei Jia, Lidong Mi, Xiaosong Yang, Jun-Fa Zhang (2024). Sealing capacity evaluation of underground gas storage under intricate geological conditions. Energy Geoscience.DOI
37. Chun-Hua Lu, Miao Zhang, Qian Sun, Guangquan Zhang, Han-Qiao Jiang, Jun-Jian Li (2024). Techno-Economic Assessment of Surfactant Huff-n-Puff EOR in Shale Plays via Multi-Objective Optimization. Geoenergy Science and Engineering.DOI
38. Nan Yao, Tianyu Huang, Guangquan Zhang, Lei Lv, K. Lin, Yiding Liu, Xi Ruan (2024). Study on delamination characteristics and mechanical properties of cemented waste rock backfill with rubber aggregation. Construction and Building Materials.DOI
39. Yun-Zheng Zhang, Guangquan Zhang, Tengda Huang, Yuxin Liu, Nan-Yan Hu (2024). AdaBoost model for rockburst intensity prediction considering class differences and quantitative characterization of misclassification difference. Scientific Reports.DOI
40. Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang (2024). An Adaptive Stacking Method for Multiple Data Streams Learning under Concept Drift. Intelligent Management of Data and Information in Decision Making.DOI
41. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2024). Federated Fuzzy Transfer Learning With Domain and Category Shifts. IEEE transactions on fuzzy systems.DOI
42. Yi Zhang, Meng-Jia Wu, Guangquan Zhang, Jie Lu (2024). Responsible AI: Portraits With Intelligent Bibliometrics. IEEE Transactions on Artificial Intelligence.DOI
43. En-Shui Yu, Jie Lu, Guangquan Zhang (2024). Fuzzy Shared Representation Learning for Multistream Classification. IEEE transactions on fuzzy systems.DOI
44. Feng Gu, Jie Lu, Zhen Fang, Kun Wang, Guangquan Zhang (2024). A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data. arXiv.org.DOI
45. Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang (2024). CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization. IEEE International Joint Conference on Neural Network.DOI
46. Dan Shang, Guangquan Zhang, Jie Lu (2024). Novelty-aware concept drift detection for neural networks. Neurocomputing.DOI
47. Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang (2024). Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation. IEEE International Conference on Fuzzy Systems.DOI
48. Kai-Rui Guo, Hua Lin, M. Grosser, Guangquan Zhang, Jie Lu (2024). Geno-GCN: A Genome-specific Graph Convolutional Network for Diabetes Prediction. Annual International Conference of the IEEE Engineering in Medicine and Biology Society.DOI
49. Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang (2024). Unsupervised Domain Adaptation Enhanced by Fuzzy Prompt Learning. IEEE transactions on fuzzy systems.DOI
50. Zhaoqing Liu, Guangquan Zhang, Jie Lu (2024). Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification. Neurocomputing.DOI
51. Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang (2024). Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. IEEE Transactions on Cybernetics.DOI
52. Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang (2024). Early Concept Drift Detection via Prediction Uncertainty. AAAI Conference on Artificial Intelligence.DOI
53. Guangzhi Ma, Jie Lu, Zhen Fang, Feng Liu, Guangquan Zhang (2024). Multiview Classification Through Learning From Interval-Valued Data. IEEE Transactions on Neural Networks and Learning Systems.DOI
54. Hang Yu, Jinpeng Li, Jie Lu, Yiliao Song, Shao-Rong Xie, Guangquan Zhang (2024). Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. IEEE Transactions on Knowledge and Data Engineering.DOI
55. Bo Peng, Zhen Fang, Guangquan Zhang, Jie Lu (2024). Knowledge Distillation with Auxiliary Variable. International Conference on Machine Learning.
56. Jie Lu, Guangzhi Ma, Guangquan Zhang (2024). Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review. IEEE transactions on fuzzy systems.DOI
57. Bin Zhang, Jie Lu, Kun Wang, Guangquan Zhang (2024). ML4MDS: A Machine Leaning Platform for Multiple Data Streams. Intelligent Management of Data and Information in Decision Making.DOI
58. Guangzhi Ma, Jie Lu, Guangquan Zhang (2024). Multisource Domain Adaptation With Interval-Valued Target Data via Fuzzy Neural Networks. IEEE transactions on fuzzy systems.DOI
59. Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu (2024). Reciprocal Trust Region Policy Optimization. Intelligent Management of Data and Information in Decision Making.DOI
60. Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang (2024). Domain Adaptation With Interval-Valued Observations: Theory and Algorithms. IEEE transactions on fuzzy systems.DOI
61. Ming Zhou, Jie Lu, Pengqian Lu, Guangquan Zhang (2024). Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation. IEEE Transactions on Knowledge and Data Engineering.DOI
62. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2024). Multi-source domain adaptation handling inaccurate label spaces. Neurocomputing.DOI
63. Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang (2024). TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation. IEEE Transactions on Cybernetics.DOI
64. Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu (2024). Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. Neurocomputing.DOI
65. Guo-Hang Zeng, Qian Zhang, Guangquan Zhang, Jie Lu (2024). Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users. IEEE Transactions on Systems, Man, and Cybernetics: Systems.DOI
66. Kezhi Lu, Qian Zhang, Danny Hughes, Guangquan Zhang, Jie Lu (2024). AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation. ACM Transactions on Intelligent Systems and Technology.DOI
67. Kun Wang, Li Xiong, Anjin Liu, Guangquan Zhang, Jie Lu (2024). A self-adaptive ensemble for user interest drift learning. Neurocomputing.DOI
68. 张广泉（2023）. 面向人机物融合的软件学科高质量创新人才培养研究. 《第31届全国计算机新科技与教育学术会议》.DOI
69. 程宝雷，樊建席，张广泉（2023）. 高质量创新型本科人才的培养实践研究. 《2023中国高校计算机教育大会论文集》.DOI
70. Fujin Zhu, Jie Lu, A. Lin, Junyu Xuan, Guangquan Zhang (2023). Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Transactions on Knowledge and Data Engineering.DOI
71. Do Minh Thu Pham, Qian Zhang, Guangquan Zhang, Jie Lu (2023). meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning. International Conference on Knowledge-Based Intelligent Information & Engineering Systems.DOI
72. Xin-Heng Wu, Jie Lu, Zhen Fang, Guangquan Zhang (2023). Meta OOD Learning For Continuously Adaptive OOD Detection. IEEE International Conference on Computer Vision.DOI
73. M. Zhou, Jie Lu, Yiliao Song, Guangquan Zhang (2023). Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. IEEE Transactions on Knowledge and Data Engineering.DOI
74. Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang (2023). An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. Applied Informatics.DOI
75. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2023). Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering.DOI
76. Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang (2023). TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. International Conference on Knowledge-Based Intelligent Information & Engineering Systems.DOI
77. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2023). Multidomain Adaptation With Sample and Source Distillation. IEEE Transactions on Cybernetics.DOI
78. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2023). Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. IEEE transactions on fuzzy systems.DOI
79. Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu (2023). One-step Domain Adaptation Approach with Partial Label. IEEE International Joint Conference on Neural Network.DOI
80. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2023). Domain Adaptation for Image Segmentation with Category-Guide Classifier. International Conference on Intelligent Systems and Knowledge Engineering.DOI
81. Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu (2023). Improving proximal policy optimization with alpha divergence. Neurocomputing.DOI
82. Meng-Jia Wu, Yi Zhang, Hua Lin, M. Grosser, Guangquan Zhang, Jie Lu (2023). BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining. International Conference on Health Information Science.DOI
83. Ke-Zhi Lu, Qian Zhang, Guangquan Zhang, Jie Lu (2023). BERT-RS: A neural personalized recommender system with BERT. Machine Learning, Multi Agent and Cyber Physical Systems.DOI
84. Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang (2023). Concept Drift Detection Delay Index. IEEE Transactions on Knowledge and Data Engineering.DOI
85. Kai-Rui Guo, Meng-Jia Wu, Zelia Soo, Yue Yang, Yi Zhang, Qian Zhang, Hua Lin, M. Grosser, Deon Venter, Guangquan Zhang, Jie Lu (2023). Artificial intelligence-driven biomedical genomics. Knowledge-Based Systems.DOI
86. Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang (2023). Source-Free Unsupervised Domain Adaptation: Current research and future directions. Neurocomputing.DOI
87. Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu (2023). A Deep Dual Adversarial Network for Cross-Domain Recommendation. IEEE Transactions on Knowledge and Data Engineering.DOI
88. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2023). Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. IEEE International Conference on Fuzzy Systems.DOI
89. En-Shui Yu, Jie Lu, Bin Zhang, Guangquan Zhang (2023). Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. AAAI Conference on Artificial Intelligence.DOI
90. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2023). Multi-Source Domain Adaptation with Incomplete Source Label Spaces. International Conference on Knowledge-Based Intelligent Information & Engineering Systems.DOI
91. Xin-Heng Wu, Jie Lu, Zheng Yan, Guangquan Zhang (2023). Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction. IEEE Transactions on Neural Networks and Learning Systems.DOI
92. Zhen Fang, Jie Lu, Guangquan Zhang (2023). An Extremely Simple Algorithm for Source Domain Reconstruction. IEEE Transactions on Cybernetics.DOI
93. Guangzhi Ma, Jie Lu, Guangquan Zhang (2023). Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks. IEEE International Conference on Fuzzy Systems.DOI
94. 张广泉（2022）. 面向工业4.0的CPS多学科交叉融合课程教学改革与探索. 《2022中国高校计算机教育大会论文集》.DOI
95. Hang Yu, Wei-Xu Liu, Jie Lu, Yimin Wen, Xiang-Feng Luo, Guangquan Zhang (2022). Detecting group concept drift from multiple data streams. Pattern Recognition.DOI
96. Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu (2022). An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. Applied Informatics.DOI
97. Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang (2022). Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing.DOI
98. Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang (2022). Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms. IEEE Transactions on Cybernetics.DOI
99. Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Rui-Jiang Li, Guangquan Zhang (2022). Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. IEEE transactions on intelligent transportation systems (Print).DOI
100. Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang (2022). Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. arXiv.org.DOI
101. Hang Yu, Jie Lu, Guangquan Zhang (2022). Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. IEEE transactions on fuzzy systems.DOI
102. Hang Yu, Jie Lu, Guangquan Zhang (2022). An Online Robust Support Vector Regression for Data Streams. IEEE Transactions on Knowledge and Data Engineering.DOI
103. Hang Yu, Jie Lu, Guangquan Zhang (2022). MORStreaming: A Multioutput Regression System for Streaming Data. IEEE Transactions on Systems, Man, and Cybernetics: Systems.DOI
104. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2022). Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. IEEE International Joint Conference on Neural Network.DOI
105. Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang (2022). Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. Information Sciences.DOI
106. Kai Yang, Jie Lu, Wang-Gen Wan, Guangquan Zhang, Li Hou (2022). Transfer learning based on sparse Gaussian process for regression. Information Sciences.DOI
107. Wenhui Liao, Qian Zhang, Bo Yuan, Guangquan Zhang, Jie Lu (2022). Heterogeneous Multidomain Recommender System Through Adversarial Learning. IEEE Transactions on Neural Networks and Learning Systems.DOI
108. Zhen-Xuan Fang, Jie Lu, Feng Liu, Guangquan Zhang (2022). Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
109. Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang (2022). A quantile fusion methodology for deep forecasting. Neurocomputing.DOI
110. En-Shui Yu, Yiliao Song, Guangquan Zhang, Jie Lu (2022). Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. Neurocomputing.DOI
111. Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang (2022). Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. IEEE Transactions on Cybernetics.DOI
112. Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang, Li Xiong (2021). Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. IEEE Transactions on Cybernetics.DOI
113. Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang (2021). A Drift Region-Based Data Sample Filtering Method. IEEE Transactions on Cybernetics.DOI
114. Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu (2021). A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE transactions on fuzzy systems.DOI
115. Qian Zhang, Jie Lu, Guangquan Zhang (2021). Recommender Systems in E-learning. Journal of Smart Environments and Green Computing.DOI
116. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2021). Multi-Source Contribution Learning for Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems.DOI
117. Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang (2021). Learning Bounds for Open-Set Learning. International Conference on Machine Learning.
118. Junyu Xuan, Jie Lu, Guangquan Zhang (2021). Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. arXiv.org.
119. Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang (2021). A Segment-Based Drift Adaptation Method for Data Streams. IEEE Transactions on Neural Networks and Learning Systems.DOI
120. Ming-Chen Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu (2021). An Efficient Bayesian Neural Network for Multiple Data Streams. IEEE International Joint Conference on Neural Network.DOI
121. A. Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang (2021). Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. arXiv.org.
122. Tian-Yu Liu, Jie Lu, Zheng Yan, Guangquan Zhang (2021). PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. arXiv.org.
123. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2021). Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks. IEEE International Conference on Fuzzy Systems.DOI
124. Guangzhi Ma, Feng Liu, Guangquan Zhang, Jie Lu (2021). Learning from Imprecise Observations: An Estimation Error Bound based on Fuzzy Random Variables. IEEE International Conference on Fuzzy Systems.DOI
125. Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang (2021). Learning Data Streams With Changing Distributions and Temporal Dependency. IEEE Transactions on Neural Networks and Learning Systems.DOI
126. Yi Zhang, Meng-Jia Wu, G. Tian, Guangquan Zhang, Jie Lu (2021). Ethics and privacy of artificial intelligence: Understandings from bibliometrics. Knowledge-Based Systems.DOI
127. Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang (2021). Statistical generalization performance guarantee for meta-learning with data dependent prior. Neurocomputing.DOI
128. Hang Yu, Tian-Yu Liu, Jie Lu, Guangquan Zhang (2021). Automatic Learning to Detect Concept Drift. arXiv.org.
129. Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu (2020). A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. IEEE International Conference on Fuzzy Systems.DOI
130. Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu (2020). Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. IEEE International Joint Conference on Neural Network.DOI
131. Yi Zhang, Meng-Jia Wu, Hua Lin, S. Tipper, M. Grosser, Guangquan Zhang, Jie Lu (2020). Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease. International Journal of Computational Intelligence Systems.DOI
132. Dan Shang, Guangquan Zhang, Jie Lu (2020). Fast concept drift detection using unlabeled data.DOI
133. Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang (2020). Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams. IEEE transactions on fuzzy systems.DOI
134. Fujin Zhu, Jie Lu, A. Lin, Guangquan Zhang (2020). A Pareto-smoothing method for causal inference using generalized Pareto distribution. Neurocomputing.DOI
135. Qian Zhang, Yejing Li, Guangquan Zhang, Jie Lu (2020). A recurrent neural network-based recommender system framework and prototype for sequential E-learning. Developments of Artificial Intelligence Technologies in Computation and Robotics.DOI
136. Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu (2020). Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems.DOI
137. Qian Zhang, Jie Lu, Guangquan Zhang (2020). Cross-Domain Recommendation with Multiple Sources. IEEE International Joint Conference on Neural Network.DOI
138. Ru-xia Liang, Qian Zhang, Jie Lu, Guangquan Zhang, Jianqiang Wang (2020). A cross-domain group recommender system with a generalized aggregation strategy.DOI
139. Kun Wang, Anjin Liu, Jie Lu, Guangquan Zhang, Li Xiong (2020). An Elastic Gradient Boosting Decision Tree for Concept Drift Learning. Australasian Conference on Artificial Intelligence.DOI
140. Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu (2020). Learning From a Complementary-Label Source Domain: Theory and Algorithms. IEEE Transactions on Neural Networks and Learning Systems.DOI
141. Kai Yang, Jie Lu, Wang-Gen Wan, Guangquan Zhang (2020). Multi-source transfer regression via source-target pairwise segment. Information Sciences.DOI
142. Guanjin Wang, Guangquan Zhang, K. Choi, Kin-Man Lam, Jie Lu (2020). Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis. Neurocomputing.DOI
143. Hua Zuo, Jie Lu, Guangquan Zhang (2020). Multiple-source Domain Adaptation in Rule-based Neural Network. IEEE International Joint Conference on Neural Network.DOI
144. Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang (2020). Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. IEEE International Joint Conference on Neural Network.DOI
145. Anjin Liu, Jie Lu, Guangquan Zhang (2020). Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. IEEE Transactions on Neural Networks and Learning Systems.DOI
146. Feng Liu, Guangquan Zhang, Jie Lu (2020). Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks. IEEE transactions on fuzzy systems.DOI
147. Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu (2020). DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. Neurocomputing.DOI
148. Anjin Liu, Jie Lu, Guangquan Zhang (2020). Concept Drift Detection via Equal Intensity k-Means Space Partitioning. IEEE Transactions on Cybernetics.DOI
149. Junyu Xuan, Xiang-Feng Luo, Jie Lu, Guangquan Zhang (2020). Web event evolution trend prediction based on its computational social context. World wide web (Bussum).DOI
150. Wenhui Liao, Qian Zhang, Guangquan Zhang, Jie Lu (2020). Multi-source shared autoencoder for cross-domain recommendation.DOI
151. Hang Yu, Anjin Liu, Bin Wang, Rui-Jiang Li, Guangquan Zhang, Jie Lu (2020). Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. Australasian Conference on Artificial Intelligence.DOI
152. Qian Liu, Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang (2020). Domain-specific meta-embedding with latent semantic structures. Information Sciences.DOI
153. Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang (2020). How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI Conference on Artificial Intelligence.DOI
154. Feng Liu, Guangquan Zhang, Jie Lu (2020). A Novel Non-parametric Two-Sample Test on Imprecise Observations. IEEE International Conference on Fuzzy Systems.DOI
155. Junyu Xuan, Jie Lu, Guangquan Zhang (2020). Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. ACM Transactions on Intelligent Systems and Technology.DOI
156. Jie Lu, Hua Zuo, Guangquan Zhang (2020). Fuzzy Multiple-Source Transfer Learning. IEEE transactions on fuzzy systems.DOI
157. A. Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang (2020). A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Transactions on Intelligent Systems and Technology.DOI
158. Anjin Liu, Jie Lu, Guangquan Zhang (2020). Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. IEEE transactions on fuzzy systems.DOI
159. Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, A. Gretton, Danica J. Sutherland (2020). Learning Deep Kernels for Non-Parametric Two-Sample Tests. International Conference on Machine Learning.
160. Jie Lu, Qian Zhang, Guangquan Zhang (2020). Recommender Systems - Advanced Developments. Recommender Systems.DOI
161. Guanjin Wang, Jie Lu, K. Choi, Guangquan Zhang (2020). A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data. IEEE Transactions on Cybernetics.DOI
162. Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu (2020). Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. International Joint Conference on Artificial Intelligence.DOI
163. Qian Zhang, Guangquan Zhang, Jie Lu, Hua Lin (2020). A framework of clinical recommender system with genomic information.DOI
164. Feng Liu, Jie Lu, Bo Han, Gang Niu, Guangquan Zhang, Masashi Sugiyama (2019). Wildly Unsupervised Domain Adaptation and Its Powerful and Efficient Solution.
165. A. Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang (2019). One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. Industrial Conference on Data Mining.DOI
166. Hua Zuo, Jie Lu, Guangquan Zhang, W. Pedrycz (2019). Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. IEEE transactions on fuzzy systems.DOI
167. Feng Liu, Guangquan Zhang, Jie Lu (2019). A Novel Fuzzy Neural Network for Unsupervised Domain Adaptation in Heterogeneous Scenarios. IEEE International Conference on Fuzzy Systems.DOI
168. Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang (2019). Learning under Concept Drift: A Review. IEEE Transactions on Knowledge and Data Engineering.DOI
169. Jie Lu, Zheng Yan, Jia-Lin Han, Guangquan Zhang (2019). Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
170. Jie Lu, Anjin Liu, Yiliao Song, Guangquan Zhang (2019). Data-driven decision support under concept drift in streamed big data. Complex & Intelligent Systems.DOI
171. Bin Zhang, Jie Lu, Guangquan Zhang (2019). Drift Adaptation via Joint Distribution Alignment. International Conference on Intelligent Systems and Knowledge Engineering.DOI
172. Hang Yu, Jie Lu, Guangquan Zhang (2019). Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. IEEE Transactions on Neural Networks and Learning Systems.DOI
173. Feng Liu, Jie Lu, Bo Han, Gang Niu, Guangquan Zhang, Masashi Sugiyama (2019). Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation. arXiv.org.
174. Peng Hao, Guangquan Zhang, L. Martínez, Jie Lu (2019). Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation. IEEE Transactions on Cybernetics.DOI
175. Qian Zhang, Peng Hao, Jie Lu, Guangquan Zhang (2019). Cross-domain Recommendation with Semantic Correlation in Tagging Systems. IEEE International Joint Conference on Neural Network.DOI
176. Rui-Ping Yin, Kan Li, Jie Lu, Guangquan Zhang (2019). RsyGAN: Generative Adversarial Network for Recommender Systems. IEEE International Joint Conference on Neural Network.DOI
177. Rui-Ping Yin, Kan Li, Jie Lu, Guangquan Zhang (2019). Enhancing Fashion Recommendation with Visual Compatibility Relationship. The Web Conference.DOI
178. Hua Zuo, Jie Lu, Guangquan Zhang, Feng Liu (2019). Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning. IEEE transactions on fuzzy systems.DOI
179. Rui-Ping Yin, Kan Li, Guangquan Zhang, Jie Lu (2019). A deeper graph neural network for recommender systems. Knowledge-Based Systems.DOI
180. Junyu Xuan, Jie Lu, Guangquan Zhang (2019). A Survey on Bayesian Nonparametric Learning. ACM Computing Surveys.DOI
181. Ming-Song Mao, Jie Lu, Jia-Lin Han, Guangquan Zhang (2019). Multiobjective e-commerce recommendations based on hypergraph ranking. Information Sciences.DOI
182. Qian Zhang, Di Zhang, Jie Lu, Guangquan Zhang, Wei Qu, M. Cohen (2019). A Recommender System for Cold-start Items: A Case Study in the Real Estate Industry. International Conference on Intelligent Systems and Knowledge Engineering.DOI
183. Xi-Meng Wang, Yun Liu, Jie Lu, Fei Xiong, Guangquan Zhang (2019). TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators. Future generations computer systems.DOI
184. Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang (2019). Unsupervised Domain Adaptation with Sphere Retracting Transformation. IEEE International Joint Conference on Neural Network.DOI
185. Yi Zhang, Yihe Zhu, Lu Huang, Guangquan Zhang, Jie Lu (2019). Characterizing the Potential of Being Emerging Generic Technologies: A Bi-Layer Network Analytics-based Prediction Method. International Conference on Scientometrics and Informetrics.
186. D. Chow, Anjin Liu, Guangquan Zhang, Jie Lu (2019). Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. IEEE International Joint Conference on Neural Network.DOI
187. Xing-Peng Liu, Guangquan Zhang, Jie Lu, Ji-Quan Zhang (2019). Risk assessment using transfer learning for grassland fires. Agricultural and Forest Meteorology.DOI
188. Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang (2019). Open Set Domain Adaptation: Theoretical Bound and Algorithm. IEEE Transactions on Neural Networks and Learning Systems.DOI
189. Shan Xue, Jie Lu, Guangquan Zhang (2019). Cross-domain network representations. Pattern Recognition.DOI
190. Hua Zuo, Guangquan Zhang, Jie Lu (2019). Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models. Joint IFSA World Congress and NAFIPS Annual Meeting.DOI
191. Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang (2019). A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. IEEE International Joint Conference on Neural Network.DOI
192. Guanjin Wang, Guangquan Zhang, K. Choi, Jie Lu (2019). Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer. IEEE Transactions on Systems, Man, and Cybernetics: Systems.DOI
193. Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu (2019). A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression. IEEE International Conference on Fuzzy Systems.DOI
194. Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang (2019). A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities. IEEE Transactions on Neural Networks and Learning Systems.DOI
195. Wei Wang, Guangquan Zhang, Jie Lu (2019). Hierarchy Visualization for Group Recommender Systems. IEEE Transactions on Systems, Man & Cybernetics. Systems.DOI
196. Hua Zuo, Guangquan Zhang, W. Pedrycz, Jie Lu (2019). Domain Selection of Transfer Learning in Fuzzy Prediction Models. IEEE International Conference on Fuzzy Systems.DOI
197. Hua Zuo, Guangquan Zhang, W. Pedrycz, Vahid Behbood, Jie Lu (2018). Granular Fuzzy Regression Domain Adaptation in Takagi–Sugeno Fuzzy Models. IEEE transactions on fuzzy systems.DOI
198. Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong (2018). A Framework of Transferring Structures Across Large-scale Information Networks. IEEE International Joint Conference on Neural Network.DOI
199. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Y. D. Xu, Xiang-Feng Luo (2018). Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Transactions on Neural Networks and Learning Systems.DOI
200. Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu (2018). Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI Conference on Artificial Intelligence.DOI
201. Qian Zhang, Dianshuang Wu, Jie Lu, Guangquan Zhang (2018). Cross-domain Recommendation with Probabilistic Knowledge Transfer. International Conference on Neural Information Processing.DOI
202. Hua Zuo, Guangquan Zhang, Jie Lu (2018). Semi-supervised transfer learning in Takagi-Sugeno fuzzy models. Data Science and Knowledge Engineering for Sensing Decision Support.DOI
203. A. Lin, Junyu Xuan, Guangquan Zhang, Jie Lu (2018). Causal inference with Gaussian processes for support of terminating or maintaining an existing program. Data Science and Knowledge Engineering for Sensing Decision Support.DOI
204. Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu (2018). A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. IEEE International Conference on Fuzzy Systems.DOI
205. Fujin Zhu, A. Lin, Guangquan Zhang, Jie Lu, Donghua Zhu (2018). Pareto-smoothed inverse propensity weighing for causal inference. Data Science and Knowledge Engineering for Sensing Decision Support.DOI
206. Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tian-Rui Li, Yu Zheng, Guangquan Zhang (2018). Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. Knowledge Discovery and Data Mining.DOI
207. Fujin Zhu, A. Lin, Guangquan Zhang, Jie Lu (2018). Counterfactual Inference with Hidden Confounders Using Implicit Generative Models. Australasian Conference on Artificial Intelligence.DOI
208. Fan Dong, Jie Lu, Guangquan Zhang, Kan Li (2018). Active Fuzzy Weighting Ensemble for Dealing with Concept Drift. International Journal of Computational Intelligence Systems.DOI
209. Tinghua Wang, Jie Lu, Guangquan Zhang (2018). Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert–Schmidt Independence Criterion. IEEE transactions on fuzzy systems.DOI
210. Feng Liu, Guangquan Zhang, Jie Lu (2018). Unconstrained fuzzy feature fusion for heterogeneous unsupervised domain adaptation. IEEE International Conference on Fuzzy Systems.DOI
211. Hang Yu, Jie Lu, Guangquan Zhang (2018). An Incremental Dual nu-Support Vector Regression Algorithm. Pacific-Asia Conference on Knowledge Discovery and Data Mining.DOI
212. Yue Zheng, Guangquan Zhang, Zhen Zhang, Jie Lu (2018). A reducibility method for the weak linear bilevel programming problems and a case study in principal-agent. Information Sciences.DOI
213. Jorge Castro, Jie Lu, Guangquan Zhang, Yucheng Dong, Luis Martínez (2018). Opinion Dynamics-Based Group Recommender Systems. IEEE Transactions on Systems, Man & Cybernetics. Systems.DOI
214. Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tian-Rui Li (2018). Explore Uncertainty in Residual Networks for Crowds Flow Prediction. IEEE International Joint Conference on Neural Network.DOI
215. Dianshuang Wu, Jie Lu, F. Hussain, Craig Doumouras, Guangquan Zhang (2018). A workforce health insurance plan recommender system. Data Science and Knowledge Engineering for Sensing Decision Support.DOI
216. Anjin Liu, Jie Lu, Feng Liu, Guangquan Zhang (2018). Accumulating regional density dissimilarity for concept drift detection in data streams. Pattern Recognition.DOI
217. Jie Lu, Junyu Xuan, Guangquan Zhang, Xiang-Feng Luo (2018). Structural property-aware multilayer network embedding for latent factor analysis. Pattern Recognition.DOI
218. Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang (2018). Cross-domain Recommendation with Consistent Knowledge Transfer by Subspace Alignment. WISE.DOI
219. Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tian-Rui Li (2018). Deep Multi-task Learning for Air Quality Prediction. International Conference on Neural Information Processing.DOI
220. Feng Liu, Jie Lu, Guangquan Zhang (2018). Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations. IEEE transactions on fuzzy systems.DOI
221. Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li (2018). Road traffic flow prediction using deep transfer learning. Data Science and Knowledge Engineering for Sensing Decision Support.DOI
222. Zheng Yan, Jie Lu, Guangquan Zhang (2018). Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization. Australasian Conference on Artificial Intelligence.DOI
223. Yi Zhang, Wei Wang, Junyu Xuan, Jie Lu, Guangquan Zhang, Hua Lin (2018). Map-based medical practice behavior analysis: Methodology and a case study on Australia’s medical practices. Data Science and Knowledge Engineering for Sensing Decision Support.DOI
224. Yi Zhang, Xi-Meng Wang, Guangquan Zhang, Jie Lu (2018). Predicting the dynamics of scientific activities: A diffusion‐based network analytic methodology. ASIS&T Annual Meeting.DOI
225. Hang Yu, Jie Lu, Guangquan Zhang, Dianshuang Wu (2018). A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems. IEEE International Conference on Fuzzy Systems.DOI
226. Hua Zuo, Guangquan Zhang, Jie Lu (2018). Fuzzy Domain Adaptation Using Unlabeled Target Data. International Conference on Neural Information Processing.DOI
227. Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang (2018). Bayesian Deep Reinforcement Learning via Deep Kernel Learning. International Journal of Computational Intelligence Systems.DOI
228. Feng Liu, Guangquan Zhang, Jie Lu (2017). Heterogeneous Domain Adaptation: An Unsupervised Approach. IEEE Transactions on Neural Networks and Learning Systems.DOI
229. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Y. D. Xu (2017). Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. Artificial Intelligence.DOI
230. Jia-Lin Han, S. Wan, Jie Lu, Guangquan Zhang (2017). Tri-level multi-follower decision-making in a partial-cooperative situation. International Conference on Intelligent Systems and Knowledge Engineering.DOI
231. Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu (2017). Regional Concept Drift Detection and Density Synchronized Drift Adaptation. International Joint Conference on Artificial Intelligence.DOI
232. Mahardhika Pratama, Guangquan Zhang, M. Er, Sreenatha G. Anavatti (2017). An Incremental Type-2 Meta-Cognitive Extreme Learning Machine. IEEE Transactions on Cybernetics.DOI
233. Hua Zuo, Guangquan Zhang, Jie Lu, W. Pedrycz (2017). Fuzzy rule-based transfer learning for label space adaptation. IEEE International Conference on Fuzzy Systems.DOI
234. Fan Dong, Guangquan Zhang, Jie Lu, Kan Li (2017). Fuzzy competence model drift detection for data-driven decision support systems. Knowledge-Based Systems.DOI
235. Junyu Xuan, Xiang-Feng Luo, Jie Lu, Guangquan Zhang (2017). Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. Information Sciences.DOI
236. Mahardhika Pratama, Jie Lu, E. Lughofer, Guangquan Zhang, M. Er (2017). An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. IEEE transactions on fuzzy systems.DOI
237. Jia-Lin Han, Jie Lu, Guangquan Zhang (2017). Tri-level decision-making for decentralized vendor-managed inventory. Information Sciences.DOI
238. Xi-Meng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu (2017). Mixed Similarity Diffusion for Recommendation on Bipartite Networks. IEEE Access.DOI
239. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Y. D. Xu, Xiang-Feng Luo (2017). A Bayesian nonparametric model for multi-label learning. Machine-mediated learning.DOI
240. Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang (2017). Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowledge-Based Systems.DOI
241. Feng Liu, Guangquan Zhang, Haiyan Lu, Jie Lu (2017). Heterogeneous Unsupervised Cross-domain Transfer Learning. arXiv.org.
242. Guanjin Wang, Guangquan Zhang, K. Choi, Kin-Man Lam, Jie Lu (2017). An output-based knowledge transfer approach and its application in bladder cancer prediction. IEEE International Joint Conference on Neural Network.DOI
243. Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu (2017). A fuzzy kernel c-means clustering model for handling concept drift in regression. IEEE International Conference on Fuzzy Systems.DOI
244. Dan Shang, Guangquan Zhang, Jie Lu (2017). Fast concept drift detection using singular vector decomposition. International Conference on Intelligent Systems and Knowledge Engineering.DOI
245. Ming-Song Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang (2017). Multirelational Social Recommendations via Multigraph Ranking. IEEE Transactions on Cybernetics.DOI
246. Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu (2017). First-order causal process for causal modelling with instantaneous and cross-temporal relations. IEEE International Joint Conference on Neural Network.DOI
247. Hua Zuo, Guangquan Zhang, W. Pedrycz, Vahid Behbood, Jie Lu (2017). Fuzzy Regression Transfer Learning in Takagi–Sugeno Fuzzy Models. IEEE transactions on fuzzy systems.DOI
248. Zhenghao Liu, Guangquan Zhang (2017). The Study in Edge IOT Era: A Software Framework Based on the Knowledge. International Conference on Computational Science and Computational Intelligence (CSCI).DOI
249. Yulei Gu, Xue-Yang Zhu, Guangquan Zhang, Yifan He (2016). Pareto Optimal Scheduling for Synchronous Data Flow Graphs on Heterogeneous Multiprocessor. International Conference on Engineering of Complex Computer Systems.DOI
250. Yi Zhu, Zhiqiu Huang, Guangquan Zhang, Hang Zhou, Fangxiong Xiao (2016). Multi-Resource Modeling of Real-Time Software Based on Resource Timed Process Algebra. International Journal of Software Engineering and Knowledge Engineering.DOI
251. Li Lü, Mei Rong, Guangquan Zhang (2015). An Internet of Things QoE evaluation method based on multiple linear regression analysis. International Conference on Computer Science & Education (ICCSE).DOI
252. Xue-Yang Zhu, Rongjie Yan, Yulei Gu, Jian Zhang, Wenhui Zhang, Guangquan Zhang (2015). Static Optimal Scheduling for Synchronous Data Flow Graphs with Model Checking. Lecture notes in computer science.DOI
253. Li Lü, Mei Rong, Guangquan Zhang (2014). An Internet of things QoS estimate approach based on multi-dimension QoS. International Conference on Computer Science & Education (ICCSE).DOI
254. Yanting Cao, Mei Rong, Guangquan Zhang (2014). An Aspect-oriented Software Architecture Description Language AO-ADL Based on XYZ. International Journal of Hybrid Information Technology.DOI
255. Guoqing Zhang, Mei Rong, Guangquan Zhang (2014). A Succinct String Dictionary Index in External Memory. International Journal of Database Theory and Application.DOI
256. Guangquan Zhang, Mingtai Zhang, Rongjie Yan, Mingcai Chen, Chengkai Xu, Yejing Li (2014). Modeling and Analysis for CPS Physical Entities Based on Spatio-Temporal Petri Net. Journal of Computers.DOI
257. 张广泉，张侃，祝义，周航（2013）. 基于体系结构能耗建模的CPS软件可信性评估方法. 《电子学报》.
258. Guangquan Zhang, Kan Zhang, Xue-Yang Zhu, Mingcai Chen, Chengkai Xu, Yuzhen Shao (2013). Modeling and Analyzing Method for CPS Software Architecture Energy Consumption. Journal of Software.DOI
259. Li Lü, Mei Rong, Guangquan Zhang (2013). A web service composition selection approach based on multi-dimension QoS. International Conference on Computer Science & Education (ICCSE).DOI
260. Yejing Li, Mingcai Chen, Guangquan Zhang, Shao Yu-zhen, Feng Fei, Hou Xing-hua (2013). A model for vehicular Cyber-Physical System based on extended hybrid automaton. International Conference on Computer Science & Education (ICCSE).DOI
261. Yi Zhu, Hang Zhou, Zhiqiu Huang, Guangquan Zhang (2013). An Approach for Transforming LOTOS Specifications into MARTE Models. International Journal of Advancements in Computing Technology.DOI
262. Guangquan Zhang (2013). Application of Paper Currency Character Recognition Based on Feature Weight Template Matching. Microelectronics & Computer.
263. Li Lü, Mei Rong, Guangquan Zhang (2012). A web service selection approach based on improved Euclidean distance. International Conference on Computer Science & Education (ICCSE).DOI
264. 张广泉，戎玫，王昇（2011）. 时间感知Web服务交互行为建模与失配检测方法研究. 《电子学报》.
265. 张广泉，戎玫，朱雪阳，何亚丽，石慧娟（2011）. 基于XYZ/ADL的Web服务组合描述与验证. 《电子学报》.
266. Guangquan Zhang, Huijuan Shi, Mei Rong (2011). Mismatch Detection of Asynchronous Web Services with Timed Constraints. IEEE Asia-Pacific Services Computing Conference (APSCC).DOI
267. Jihan Zhu, Kan Zhang, Guangquan Zhang (2011). Verifying Web Services Composition based on LTL and colored Petri Net. International Conference on Computer Science & Education (ICCSE).DOI
268. Li Lü, Mei Rong, Guangquan Zhang (2011). A web service QoS prediction approach based on multi-dimension QoS. International Conference on Computer Science & Education (ICCSE).DOI
269. Mei Rong, Changlin Liu, Guangquan Zhang (2011). Modeling aspect-oriented software architecture based on ACME. International Conference on Computer Science & Education (ICCSE).DOI
270. Guangquan Zhang, Mei Rong (2011). Exploration and practice of software engineering core curriculum construction. International Conference on Computer Science & Education (ICCSE).DOI
271. Jianfeng Wu, Jing Wang, Mei Rong, Guangquan Zhang, Jihan Zhu (2011). Counterexample generation and representation in model checking for probabilistic timed automata. International Conference on Computer Science & Education (ICCSE).DOI
272. Wang Xi-yan, Shenbiao Chen, Guangquan Zhang, Jihan Zhu, Jianfeng Wu (2011). A method for detecting mismatch of time-aware Web services based on SMT. International Conference on Computer Science & Education (ICCSE).DOI
273. Guangquan Zhang, Huijuan Shi, Mei Rong, Haojun Di (2011). Model Checking for Asynchronous Web Service Composition Based on XYZ/ADL. Lecture notes in computer science.DOI
274. Guangquan Zhang, Haojun Di, Mei Rong, Huijuan Shi (2011). Specification and Verification of Data and Time in Web Service Composition. Lecture notes in computer science.DOI
275. Guangquan Zhang (2011). Modeling and Simulation of Elevator Control System Based on Formal Description. Modern Computer.
276. 陈雷，张广泉，戎玫（2010）. 异构传感器网络的一种可调节的拓扑控制算法. 《计算机研究与发展》.
277. 张招亮，张广泉，章晓芳，樊建席（2010）. 无线传感器网络的一种可调节的拓扑控制算法. 《小型微型计算机系统》.
278. Mei Rong, Zhonghui Li, Guangquan Zhang (2010). Model Checking of Needham-Schroeder Protocol Using UPPAAL.DOI
279. Lei Chen, Mei Rong, Guangquan Zhang (2010). TAPH: An Adjustable Planar Structure for Topology Control in Heterogeneous Wireless Ad Hoc Network.DOI
280. Li Lü, Guangquan Zhang (2010). A management framework for web service QoS based on multi-dimension QoS. International Conference on Computer Science & Education (ICCSE).DOI
281. Ling Wang, Guangquan Zhang, Jihan Zhu, Jianfeng Wu (2010). A method for modeling aspect-oriented dynamic software architecture. International Conference on Computer Science & Education (ICCSE).DOI
282. Guangquan Zhang, Mei Rong, Yali He, Xue-Yang Zhu, Rongjie Yan (2010). A Refinement Checking Method of Web Services Composition. IEEE International Symposium on Service-Oriented System Engineering (SOSE).DOI
283. Guangquan Zhang, Zhaoliang Zhang, Jianxi Fan (2010). A Locally-Adjustable Planar Structure for Adaptive Topology Control in Wireless Ad Hoc Networks. IEEE Transactions on Parallel and Distributed Systems.DOI
284. Guangquan Zhang, Sheng Wang, Mei Rong, Qingchun Li (2010). A Model-Based Framework for Adapting Interaction Mismatches of Time-Aware Web Services. International Conference on Service Sciences.DOI
285. Yi Zhu, Zhiqiu Huang, Guangquan Zhang (2009). Modeling and Analysis of Real-Time Software Based on Resource Communicating Sequential Process. International Conference on Information Engineering and Computer Science.DOI
286. Sheng Wang, Guangquan Zhang, Xiaofang Zhang, Yang Yang (2009). A Method for Detecting Behavioral Mismatching Web Services. Web Information Systems and Applications Conference (WISA).DOI
287. Guangquan Zhang, Mei Rong, Ling Wang, Yali He, Hui Wei (2009). Modeling and Analysis for Web Services Composition Based on Dynamic Software Architecture. Web Information Systems and Applications Conference (WISA).DOI
288. Guangquan Zhang, Mei Rong, Yan-ping FANG (2009). One Extension of Authentication Test Based on Strand Space Model. International Conference on Wireless Communications, Networking and Mobile Computing.DOI
289. Jun-qi Kong, Hui Wang, Guangquan Zhang (2009). Gesture recognition model based on 3D accelerations. International Conference on Computer Science & Education (ICCSE).DOI
290. Huacheng Qi, Mei Rong, Guangquan Zhang (2009). A behavior-driven model of component interaction adaptation. International Conference on Computer Science & Education (ICCSE).DOI
291. Jianxi Fan, Wujun Zhou, Yuejuan Han, Guangquan Zhang (2009). Efficient algorithms to embed Hamiltonian Paths and Cycles in faulty crossed cubes. International Conference on Computer Science & Education (ICCSE).DOI
292. Daoxi Chen, Guangquan Zhang, Jianxi Fan (2009). Abstraction framework and complexity of model checking based on the Promela models. International Conference on Computer Science & Education (ICCSE).DOI
293. Jianxi Fan, Shukui Zhang, Xiaohua Jia, Guangquan Zhang (2009). The Restricted Connectivity of Locally Twisted Cubes. International Symposium on Pervasive Systems, Algorithms, and Networks.DOI
294. Guangquan Zhang, Mei Rong (2009). A Framework for Dynamic Evolution Based on Reflective Aspect-Oriented Software Architecture. International Conference on Computer Sciences and Convergence Information Technology.DOI
295. Jianxi Fan, Shukui Zhang, Xiaohua Jia, Guangquan Zhang (2009). A Fault-Free Unicast Algorithm in Twisted Cubes with the Restricted Faulty Node Set. International Conference on Parallel and Distributed Systems.DOI
296. Guangquan Zhang, Mei Rong, Hui Wei (2009). Description and Analysis for Web Service Composition Based on XYZ/ADL.DOI
297. Guangquan Zhang (2009). Semantics and Verification of Data Flow in UML Statecharts. Journal of Suzhou Vocational University.
298. Guangquan Zhang (2009). Verification Method of Concurrent Workflows Based on Extended UML Statecharts. Computer Knowledge and Technology.
299. Guangquan Zhang (2008). Design and Implementation of Management System for Order-Based Production Based on C/S Architecture. Computer Technology and Development.
300. Donghuo Chen, Guangquan Zhang, Jinzhao Wu (2007). QCTL: A Logic for Reasoning about Inconsistent Concurrent Systems.DOI
301. Guangquan Zhang (2007). Application of Struts Framework Based on MVC Design in Library Management System Based on Web. Journal of Shazhou Professional Institute of Technology.
302. Guangquan Zhang (2007). A Domain-oriented Model Mapping Method Based on XMI. Suzhou Daxue xuebao. Faxue ban.
303. Guangquan Zhang (2007). Researching Aspect-Oriented Modeling Method Based on UML2.0. Suzhou Daxue xuebao. Faxue ban.
304. Guangquan Zhang (2006). Modeling and Refinement for Real-Time Systems Based on Linear Temporal Logic. Journal of Chinese Computer Systems.
305. Guangquan Zhang, Mei Rong (2005). DENSE TIME-BASED MODEL-CHECKING OF REAL-TIME SYSTEMS.DOI

预印本

1. Rongjie Yan, Chih‐Hong Cheng, Guangquan Zhang, Yesheng Chai (2014). Formal Consistency Checking over Specifications in Natural Languages. arXiv (Cornell University).DOI

书籍章节

1. Guobin Chen, Mei Rong, Guangquan Zhang (2011). A New Medium Access Control Protocol Application on the Hidden Node Interference. Lecture notes in electrical engineering.DOI