徐宗本

期刊论文

1. 孟德宇，徐宗本（2026）. 新一代机器学习的数理基础问题. 《计算》.
2. 王全子昂，王仁振，孟德宇，徐宗本（2026）. 面向大模型时代的持续学习方法论演变. 《自动化学报》.
3. Jian-Hua Guo, Jiang Xue, Jun-Kai Zhang, Zhen Qiao, Zongben Xu (2026). Scalable Pre-Trained Large Channel Models for Wireless Communication Systems. IEEE Communications Magazine.DOI
4. Yi-Xin He, Quan-Yu Tang, Zongben Xu, Teng-Ren Zhang (2026). The solution to Kadison's problem on orthonormal bases of unitaries for type $\mathrm{II}_1$ factors.
5. Xuan-Jia Zuo, Jian-Qing Shi, Nian-Sheng Tang, Zongben Xu (2026). Robust Variance-Gradient Subsampling for Logistic Regression With Corrupted Large-Scale Data. IEEE Transactions on Knowledge and Data Engineering.DOI
6. Liang Shi, Xuebin Ren, Shusen Yang, Cong Zhao, Yijun Hao, Zongben Xu (2026). Privacy-Preserving Online Federated Learning for Massive Infinite Streams. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
7. Guo Jian-hua, Zhongsheng Deng, Zhen Qiao, Junkai Zhang, Jiang Xue, Dusit Tao Niyato, Zongben Xu (2026). Scalable Pre-Trained Masked Channel Model of Wireless Communications. IEEE Transactions on Communications.DOI
8. Junkai Zhang, Faheem A. Khan, Zhiqiang Wei, Jiang Xue, Christos Masouros, Dusit Tao Niyato, Zongben Xu (2026). Intelligent Predictive Beamforming for Integrated Sensing, Communication and Power Transfer for Low-Altitude Economy. IEEE Transactions on Wireless Communications.DOI
9. Guo Jian-hua, Zhen Qiao, Junkai Zhang, Jiang Xue, Zongben Xu (2026). Channel Modeling via Virtual Environment for MIMO–OFDM Systems. IEEE Communications Letters.DOI
10. 都琳，徐爽，徐宗本（2025）. 师—生—AI协同课堂：人工智能赋能大学数学教育的载体及实践. 《中国大学教学》, No. 4.下载原文
11. 冯钰瑶，张宏云，王鹏飞，李建平，徐宗本（2025）. 推动全生命周期数据治理的关键技术选择与对策. 《中国科学院院刊》, Vol. 40, No. 10.下载原文
12. 徐宗本，都琳，黄廷祝（2025）. 人工智能时代的科学教育需要新定位和新范式. 《科学与社会》.DOI
13. 朱文武，王鑫，徐宗本（2025）. 自主机器学习. 《中国科学:信息科学》.
14. 徐宗本，张一鸣（2025）. 人工智能与科学教育协同共进 加快培养拔尖创新人才——徐宗本院士访谈录. 《中小学科学教育》.
15. Yuechen Liu, Zi-Shun Wang, Chen Qiao, Zongben Xu (2025). GATE: Adaptive learning with working memory by information gating in multi-lamellar hippocampal formation. PLoS Computational Biology.DOI
16. Zhen Qiao, Jiang Xue, Jun-Kai Zhang, Guanzhang Liu, Xiaoqin Ma, Runhua Li, F. Khan, John S. Thompson, Zongben Xu (2025). Adaptive Implicit-Based Deep Learning Channel Estimation for 6G Communications. IEEE Communications Magazine.DOI
17. Xue-Hu Zhu, Weixuan Yuan, Zongben Xu, Wen-Lin Dai (2025). Optimal subsampling for principal component analysis. Science China Mathematics.DOI
18. Zhi-Hui Zhan, Jun Hong, Jian-Yu Li, Cheng Wang, Lang-Chong He, Zongben Xu, Jun Zhang (2025). Artificial intelligence-based methods for protein structure prediction: a survey. Artificial Intelligence Review.DOI
19. Yang Yang, Zijian Ye, Qiuyi Long, Jinghuai Gao, Zhiguo Wang, Naihao Liu, Zongben Xu (2025). Automatic Seismic Facies Segmentation via Wavelet Scattering Transform and Convolutional Network. IEEE Transactions on Geoscience and Remote Sensing.DOI
20. Guo Jian-hua, Runhua Li, Guanzhang Liu, Zhengyang Hu, Yiqing Zhang, Feng Li, Gang Dai, Jiang Xue, John Thompson, Zongben Xu (2025). Design Intelligent Air Interface of MIMO Systems. IEEE Transactions on Wireless Communications.DOI
21. Wenwu Zhu, Xin Wang, Zongben Xu (2025). Autonomous machine learning. Scientia Sinica Informationis.DOI
22. Qi Xie, Jiahong Fu, Zongben Xu, Deyu Meng (2025). Rotation Equivariant Arbitrary-Scale Image Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
23. Shixiong Wang, Wei Dai, Jianyong Sun, Zongben Xu, Geoffrey Ye Li (2025). Uncertainty Awareness in Wireless Communications and Sensing. IEEE Communications Magazine.DOI
24. Haotian Zhang, Jialong Shi, Jianyong Sun, Qingfu Zhang, Zongben Xu (2025). Neuro-PLS: A Generalizable Local Search Framework for Multiobjective Combinatorial Optimization. IEEE Transactions on Evolutionary Computation.DOI
25. Zhiqiang Pang, Hong Wang, Qi Xie, Deyu Meng, Zongben Xu (2025). TRG-Net: An Interpretable and Controllable Rain Generator. IEEE Transactions on Neural Networks and Learning Systems.DOI
26. Junkai Zhang, Zhen Qiao, Faheem A. Khan, Guanzhang Liu, Zhiqiang Wei, Jiang Xue, Zongben Xu, Derrick Wing Kwan Ng (2025). Deep Learning-Empowered Secure Predictive Beamforming Design for Integrated Sensing and Communications Systems. IEEE Transactions on Wireless Communications.DOI
27. Yuzhu He, Chunfeng Lian, Ruyi Xiao, Fangmao Ju, Chao Zou, Zongben Xu, Jianhua Ma (2025). Anatomy-Aware Deep Unrolling for Task-Oriented Acceleration of Multi-Contrast MRI. IEEE Transactions on Medical Imaging.DOI
28. Heran Yang, Wenbo Hua, Zongben Xu, Jian Zhong Sun (2025). Domain-Generalized Discrete Diffusion Model for Cross-Domain Medical Image Segmentation. IEEE Transactions on Medical Imaging.DOI
29. Qian Xu, Jianyong Sun, Zongben Xu (2025). Efficient MU-MIMO Beamforming Based on Majorization-Minimization and Deep Unfolding. IEEE Transactions on Wireless Communications.DOI
30. Feipeng Li, Jinghuai Gao, Zhiguo Wang, Chuang Li, Zhaoqi Gao, Zongben Xu (2025). True Amplitude Seismic Imaging With Wave Equation-Based Illumination Compensation in the Dip and Reflection Angle Domain. IEEE Transactions on Geoscience and Remote Sensing.DOI
31. Feipeng Li, Jinghuai Gao, Wenbo Sun, Zhiguo Wang, Chuang Li, Zhaoqi Gao, Zongben Xu (2025). LSTM Network Assisted Construction of the Angle-Dependent Point Spread Function and Its Applications in Seismic Imaging. IEEE Transactions on Geoscience and Remote Sensing.DOI
32. Zongben Xu, Shan Liu, Wei Huang, Jim Shi, Fengmin Xu, Xin Tang, Haibing Lu (2025). DeepSeek: implications for data science and management in the AI era. Data Science and Management.DOI
33. Yiqing Zhang, Jian-Yong Sun, J. Xue, Zongben Xu (2024). Improving Signal Detector by Precoding in Uplink Multiuser MIMO System. IEEE Transactions on Vehicular Technology.DOI
34. Shipeng Wang, Xiaorong Li, Jian Zhong Sun, Zongben Xu (2024). Training Networks in Null Space of Feature Covariance With Self-Supervision for Incremental Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
35. Yiqing Zhang, Jianyong Sun, Jiang Xue, Zongben Xu (2024). Cross-Channel Model-Driven Learning for Massive MIMO Detection by HyperNetwork. IEEE Transactions on Wireless Communications.DOI
36. Xing Li, Yan Yang, Qingyong Zhu, Jianhua Ma, Hairong Zheng, Zongben Xu (2024). Noise-Generating Mechanism-Driven Implicit Diffusion Prior for Low-Dose CT Sinogram Recovery. IEEE Transactions on Radiation and Plasma Medical Sciences.DOI
37. Xunmeng Wu, Zai Yang, Zongben Xu (2024). Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation. SIAM Journal on Matrix Analysis and Applications.DOI
38. Xunmeng Wu, Zai Yang, Zhiqiang Wei, Robert Schober, Zongben Xu (2024). Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing. European Signal Processing Conference (EUSIPCO).DOI
39. Haotian Zhang, Jialong Shi, Jianyong Sun, Zongben Xu (2024). Learning Adaptive Subspace Differential Evolution by Evolution Strategies. International Conference on Data-driven Optimization of Complex Systems (DOCS).DOI
40. Lixuan Yi, Qian Zhao, Zongben Xu (2024). Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior. Remote Sensing.DOI
41. Haotian Zhang, Jialong Shi, Jianyong Sun, Ali Wagdy Mohamed, Zongben Xu (2024). A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. Genetic and Evolutionary Computation Conference Companion (GECCO Companion).DOI
42. Zai Yang, Xunmeng Wu, Zongben Xu (2024). New low-rank optimization model and algorithms for spectral compressed sensing. Science China Mathematics.DOI
43. Fan Wang, Yating Wang, Wing Tat Leung, Zongben Xu (2024). Learning-based multi-continuum model for multiscale flow problems. Journal of Computational Physics.DOI
44. Xin Liu, Jianyong Sun, Zongben Xu (2024). Learning to sample initial solution for solving 0–1 discrete optimization problem by local search. Science China Mathematics.DOI
45. Xunmeng Wu, Zai Yang, Zongben Xu (2024). Direction-of-Arrival Estimation for Constant Modulus Signals via Convex Optimization. Photonics & Electromagnetics Research Symposium (PIERS).DOI
46. Xing Li, Yan Yang, Hairong Zheng, Zongben Xu (2024). ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization learning network for accelerated MRI. Pattern Recognition.DOI
47. Haotian Zhang, Jianyong Sun, Thomas Bäck, Zongben Xu (2024). Learning to select the recombination operator for derivative-free optimization. Science China Mathematics.DOI
48. Xunmeng Wu, Zai Yang, Zhiqiang Wei, Robert Schober, Zongben Xu (2024). COFFEE: Covariance Fitting and Focusing for Wideband Direction-of-Arrival Estimation. IEEE Transactions on Signal Processing.DOI
49. Zhaoqi Gao, Meiqian Guo, Chuang Li, Zhen Li, Jinghuai Gao, Zongben Xu (2024). Deep Learning Accelerated Blind Seismic Acoustic-Impedance Inversion. IEEE Transactions on Geoscience and Remote Sensing.DOI
50. Xing Li, Yan Yang, Hairong Zheng, Zongben Xu (2024). Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI. Lecture notes in computer science.DOI
51. 王世鹏，孙剑，徐宗本（2023）. 基于特征置信度的无源域自适应方法. 《工程数学学报》.
52. 高照奇，杨燕，高静怀，徐宗本（2023）. 模型驱动深度学习及其在地震反演中的应用. 《2023年中国地球科学联合学术年会论文集——专题一百一十六 月球及行星测绘遥感和重力场、专题一百一十七 致密油气高分辨率地震成像与超分辨反演》.DOI
53. 杨在，吴训蒙，徐宗本（2023）. 谱压缩感知的非凸低秩矩阵优化模型与方法综述. 《中山大学学报(自然科学版)(中英文)》.
54. Zongben Xu, Heng-Tao Shen, Shi-Min Hu (2023). Preface to special topic on AI algorithms and cases: to energize digital economy. National Science Review.DOI
55. Xing-Jia Tang, Pengchang Zhang, Zongben Xu, Bingliang Hu, Siyuan Li (2023). Small sample learning of calligraphy and painting identification based on hyperspectral image. Symposium on Novel Photoelectronic Detection Technology and Application.DOI
56. Xiang Gu, Yucheng Yang, Weizhen Zeng, Jian Sun, Zongben Xu (2023). Keypoint-Guided Optimal Transport. arXiv.org.DOI
57. Haotian Zhang, Jian-Yong Sun, Thomas Bäck, Qing-Fu Zhang, Zongben Xu (2023). Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Computational Intelligence Magazine.DOI
58. Ke Ding, Jun Shu, De-Yu Meng, Zongben Xu (2023). Improve Noise Tolerance of Robust Loss via Noise-Awareness. IEEE Transactions on Neural Networks and Learning Systems.DOI
59. Kun Chen, Junchen Liang, Junmin Liu, Weilin Shen, Zongben Xu, Zheng-Jian Yao (2023). Entropy regularized fuzzy nonnegative matrix factorization for data clustering. International Journal of Machine Learning and Cybernetics.DOI
60. Xiaorong Li, Shipeng Wang, Jian Sun, Zongben Xu (2023). Memory efficient data-free distillation for continual learning. Pattern Recognition.DOI
61. Jun Shu, Xiang Yuan, De-Yu Meng, Zongben Xu (2023). DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
62. Xiaorong Li, Shipeng Wang, Jian Sun, Zongben Xu (2023). Variational Data-Free Knowledge Distillation for Continual Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
63. Heran Yang, Jian Sun, Zongben Xu (2023). Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities. IEEE Transactions on Medical Imaging.DOI
64. Xin Liu, Jian-Yong Sun, Qing-Fu Zhang, Zhenkun Wang, Zongben Xu (2023). Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
65. Feipeng Li, Jing-Huai Gao, Zhaoqi Gao, Chuang Li, Qing-Zhen Wang, Wenbo Sun, Zongben Xu (2023). Generating Azimuth–Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields. IEEE Transactions on Geoscience and Remote Sensing.DOI
66. Cuican Yu, Guan-Song Lu, Yihan Zeng, Jian Sun, Xiao-Dan Liang, Hui-Bin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu (2023). Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. IEEE International Conference on Computer Vision.DOI
67. Haotian Zhang, Jian-Yong Sun, K. Tan, Zongben Xu (2023). Learning Adaptive Differential Evolution by Natural Evolution Strategies. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
68. Qian Xu, Jian-Yong Sun, Zongben Xu (2023). Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System. IEEE Transactions on Vehicular Technology.DOI
69. Yannan Pu, Jian Sun, Niansheng Tang, Zongben Xu (2023). Deep expectation-maximization network for unsupervised image segmentation and clustering. Image and Vision Computing.DOI
70. Haotian Zhang, Jian-Yong Sun, Yuhao Wang, Jia-Long Shi, Zongben Xu (2023). Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
71. Xunmeng Wu, Zai Yang, Jiong Cai, Zongben Xu (2023). Spectral Super-Resolution on the Unit Circle Via Gradient Descent. IEEE International Conference on Acoustics, Speech, and Signal Processing.DOI
72. Xunmeng Wu, Zai Yang, Zhi-Qiang Wei, Zongben Xu (2023). Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART). Symposium on Software Performance.DOI
73. Yuwen Yang, Fei-Fei Gao, J. Xue, Ting Zhou, Zongben Xu (2023). MIMO Detector Selection With Federated Learning. IEEE Transactions on Wireless Communications.DOI
74. Xiang Gu, Jian Zhong Sun, Zongben Xu (2023). Adversarial data splitting for domain generalization. Science China Information Sciences.DOI
75. Qingming Kong, Jianyong Sun, Zongben Xu (2023). Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network. Knowledge-Based Systems.DOI
76. Zhengyang Hu, Jiang Xue, Feng Li, Qian Zhao, Deyu Meng, Zongben Xu (2023). Robust channel estimation based on the maximum entropy principle. Science China Information Sciences.DOI
77. Yuqian Yang, Shusen Yang, Cong Zhao, Zongben Xu (2023). TelOps: AI-Driven Operations and Maintenance for Telecommunication Networks. IEEE Communications Magazine.DOI
78. Yan Yang, Yizhou Wang, Jiazhen Wang, Jian Zhong Sun, Zongben Xu (2023). An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee. SIAM Journal on Imaging Sciences.DOI
79. W. Fan, Xiang Gu, Jian Sun, Zongben Xu (2023). Learning-based local weighted least squares for algebraic multigrid method. Journal of Computational Physics.DOI
80. Liwen Zhang, Zongben Xu (2023). k-PFed: Communication-efficient Personalized Federated Clustering. IEEE International Conference on Electronic Technology, Communication and Information (ICETCI).DOI
81. Haotian Zhang, Jianyong Sun, Zongben Xu, Jialong Shi (2023). Learning unified mutation operator for differential evolution by natural evolution strategies. Information Sciences.DOI
82. Xunmeng Wu, Zai Yang, Zongben Xu (2023). Multichannel Frequency Estimation in Challenging Scenarios via Structured Matrix Embedding and Recovery (StruMER). IEEE Transactions on Signal Processing.DOI
83. 徐宗本，赵彦云，朱利平，陈光，张宏云（2022）. 数字技术赋能国家统计现代化建设. 《中国科学院院刊》, Vol. 37, No. 12.下载原文
84. 孙茜，冯霞，隆云滔，徐宗本（2022）. 数字技术赋能我国医疗治理现代化建设研究. 《中国科学院院刊》, Vol. 37, No. 12.下载原文
85. 杨晓光，徐宗本，郭雷（2022）. 计算治理：一个值得重视的新兴交叉领域. 《中国科学基金》.
86. Wei Zheng, Jian-Yong Sun, Qing-Fu Zhang, Zongben Xu (2022). Continuous Encoding for Overlapping Community Detection in Attributed Network. IEEE Transactions on Cybernetics.DOI
87. Xiangyong Cao, Xueyang Fu, D. Hong, Zongben Xu, Deyu Meng (2022). PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing.DOI
88. Xunmeng Wu, Zai Yang, P. Stoica, Zongben Xu (2022). Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach. IEEE Transactions on Signal Processing.DOI
89. Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu (2022). KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. Lecture notes in computer science.DOI
90. D. Zeng, Lei Wang, Mingrui Geng, Sui Li, Yun Deng, Qi Xie, Danyang Li, Hua Zhang, Yuan-Qing Li, Zongben Xu, Deyu Meng, Jian-Hua Ma (2022). Noise-Generating-Mechanism-Driven Unsupervised Learning for Low-Dose CT Sinogram Recovery. IEEE Transactions on Radiation and Plasma Medical Sciences.DOI
91. Zai Yang, Yiguo Mo, Gongguo Tang, Zongben Xu (2022). Separation-Free Spectral Super-Resolution via Convex Optimization. Applied and Computational Harmonic Analysis.DOI
92. Qingming Kong, Jian-Yong Sun, Yongquan Zhang, Zongben Xu (2022). Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling. IEEE Transactions on Cybernetics.DOI
93. Xiang Gu, Jian Sun, Zongben Xu (2022). Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
94. Zhaoqi Gao, Sichao Hu, Chuang Li, Hong-Ling Chen, Xiudi Jiang, Z. Pan, Jing-Huai Gao, Zongben Xu (2022). A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution. IEEE Transactions on Geoscience and Remote Sensing.DOI
95. Zhaoqi Gao, Chuang Li, Zhibin Pan, Jing-Huai Gao, Zongben Xu (2022). Hybrid domain frequency controllable envelope inversion with lowrank approximation for long-wavelength velocity model building. Journal of Applied Geophysics.DOI
96. Haotian Zhang, Jia-Long Shi, Jian-Yong Sun, Zongben Xu (2022). Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. GECCO Companion.DOI
97. Yiqing Zhang, Jian-Yong Sun, J. Xue, G. Li, Zongben Xu (2022). Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection. IEEE Transactions on Signal Processing.DOI
98. Linan Xu, Zhaoqi Gao, Sichao Hu, Jing-Huai Gao, Zongben Xu (2022). Simultaneous Inversion for Reflectivity and Q Using Nonstationary Seismic Data With Deep-Learning-Based Decoupling. IEEE Transactions on Geoscience and Remote Sensing.DOI
99. Cuican Yu, Zi-Hui Zhang, Hui-Bin Li, Jian Sun, Zongben Xu (2022). Meta-learning-based adversarial training for deep 3D face recognition on point clouds. Pattern Recognition.DOI
100. Jian-Yong Sun, Qingming Kong, Zongben Xu (2022). Deep alternating non-negative matrix factorisation. Knowledge-Based Systems.DOI
101. Zhaoqi Gao, Wei Yang, Chuang Li, Feipeng Li, Qing-Zhen Wang, Jicaim Ding, Jinghuai Gao, Zongben Xu (2022). Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion. IEEE Transactions on Geoscience and Remote Sensing.DOI
102. Yuwen Yang, Fei-Fei Gao, Mingjing Wang, J. Xue, Zongben Xu (2022). Dynamic Neural Network for MIMO Detection. IEEE Journal on Selected Areas in Communications.DOI
103. Jing Yao, Xiangyong Cao, D. Hong, Xin Wu, De-Yu Meng, J. Chanussot, Zongben Xu (2022). Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing.DOI
104. Xiaohui Yang, Z. Wang, Jian Sun, Zongben Xu (2022). Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization. Science China Information Sciences.DOI
105. Xing-Jia Tang, Pengchang Zhang, Zongben Xu, Bingliang Hu (2022). Calligraphy and Painting Identification 3D-CNN Model Based on Hyperspectral Image MNF Dimensionality Reduction. Computational Intelligence and Neuroscience.DOI
106. Jun Shu, Xiang Yuan, De-Yu Meng, Zongben Xu (2022). CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
107. Naihao Liu, Fangyu Li, Dehua Wang, Jinghuai Gao, Zongben Xu (2022). Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode Decomposition. IEEE Transactions on Geoscience and Remote Sensing.DOI
108. Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu (2022). Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation. Neural Information Processing Systems.DOI
109. Feng Li, Gang Dai, Heng Du, Yiqing Zhang, Zhengyang Hu, Guanzhang Liu, Runhua Li, Jiang Xue, Zongben Xu (2022). Unified Mathematical Framework for Intelligent Transceiver Design. IEEE Vehicular Technology Conference.DOI
110. Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang, Cong Zhao, Zongben Xu (2022). LDP-IDS: Local Differential Privacy for Infinite Data Streams. Proceedings - ACM-SIGMOD International Conference on Management of Data.DOI
111. Heng Du, Yun Deng, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu (2022). Robust Online CSI Estimation in a Complex Environment. IEEE Transactions on Wireless Communications.DOI
112. Zongben Xu（2021）. 人工智能的10个重大数理基础问题. Scientia Sinica Informationis.DOI
113. 高静怀，Weimin HAN，何彦斌，赵海霞，李辉，张懿洁，徐宗本（2021）. 致密油气介质中波的控制方程. 《中国科学:地球科学》.
114. Heran Yang, Jian Sun, Liwei Yang, Zongben Xu (2021). A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation. International Conference on Medical Image Computing and Computer-Assisted Intervention.DOI
115. Xing-Jia Tang, Penchang Zhang, Jian Du, Zongben Xu (2021). Painting and calligraphy identification method based on hyperspectral imaging and convolution neural network. Spectroscopy Letters.DOI
116. Naihao Liu, Teng Huang, Jinghuai Gao, Zongben Xu, Daxing Wang, Fangyu Li (2021). Quantum-Enhanced Deep Learning-Based Lithology Interpretation From Well Logs. IEEE Transactions on Geoscience and Remote Sensing.DOI
117. Haotian Zhang, Jian-Yong Sun, Zongben Xu (2021). Learning to Mutate for Differential Evolution. IEEE Congress on Evolutionary Computation.DOI
118. Jing Yao, D. Hong, Lin Xu, De-Yu Meng, J. Chanussot, Zongben Xu (2021). Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing.DOI
119. Jun Shu, De-Yu Meng, Zongben Xu (2021). Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks. Journal of machine learning research.
120. Zhaoqi Gao, Chuang Li, Tao Yang, Z. Pan, Jing-Huai Gao, Zongben Xu (2021). OMMDE-Net: A Deep Learning-Based Global Optimization Method for Seismic Inversion. IEEE Geoscience and Remote Sensing Letters.DOI
121. Shipeng Wang, Yan Yang, Jian Sun, Zongben Xu (2021). Variational HyperAdam: A Meta-Learning Approach to Network Training. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
122. Xunmeng Wu, Zai Yang, Zongben Xu (2021). Robust spectral compressive sensing via vanilla gradient descent. arXiv.org.
123. Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu (2021). Adversarial Reweighting for Partial Domain Adaptation. Neural Information Processing Systems.
124. Q. Hu, Fei-Fei Gao, Hao Zhang, G. Li, Zongben Xu (2021). Understanding Deep MIMO Detection. IEEE Transactions on Wireless Communications.DOI
125. Zhaoqi Gao, Chuang Li, Naihao Liu, Z. Pan, Jing-Huai Gao, Zongben Xu (2021). Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction. IEEE Transactions on Geoscience and Remote Sensing.DOI
126. Jian-Yong Sun, Xin Liu, Thomas Back, Zongben Xu (2021). Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient. IEEE Transactions on Evolutionary Computation.DOI
127. Lixuan Yi, Qian Zhao, Wei Wei, Zongben Xu (2021). Robust online rain removal for surveillance videos with dynamic rains. Knowledge-Based Systems.DOI
128. Tian-Hui Ma, Zongben Xu, De-Yu Meng, Xi-Le Zhao (2021). Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.DOI
129. Zhaoqi Gao, Wei Yang, Yajun Tian, Chuang Li, Xiudi Jiang, Jing-Hua Gao, Zongben Xu (2021). Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion. Geophysics.DOI
130. Cuican Yu, Zi-Hui Zhang, Hui-Bin Li, Jian Sun, Zongben Xu (2021). A distribution independence based method for 3D face shape decomposition. Computer Vision and Image Understanding.DOI
131. Xunmeng Wu, Zai Yang, Zongben Xu (2021). A Nonconvex Approach for Line Spectral Estimation. Radar.DOI
132. Qi Xie, Qian Zhao, Zongben Xu, De-Yu Meng (2021). Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
133. Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu (2021). Training Networks in Null Space of Feature Covariance for Continual Learning. Computer Vision and Pattern Recognition.DOI
134. Yuwen Yang, Fei-Fei Gao, J. Xue, Ting Zhou, Zongben Xu (2021). Federated Dynamic Neural Network for Deep MIMO Detection.
135. Zongben Xu, Niansheng Tang, Xu Chen, Xueqi Cheng (2021). Data science: connotation, methods, technologies, and development. Data Science and Management.DOI
136. Zongben Xu (2021). Four major tasks of data science. Data Science and Management.DOI
137. 王霞，唐三一，陈勇，冯晓梅，肖燕妮，徐宗本（2020）. 新型冠状病毒肺炎疫情下武汉及周边地区何时复工?数据驱动的网络模型分析. 《中国科学:数学》.
138. 毛瑛，徐宗本（2020）. “互联网”医院如何升级. 《中国卫生》.DOI
139. 束俊，孟德宇，徐宗本（2020）. 元自步学习. 《中国科学:信息科学》.
140. Heran Yang, Jian Sun, A. Carass, Can Zhao, Junghoon Lee, Jerry L Prince, Zongben Xu (2020). Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN. IEEE Transactions on Medical Imaging.DOI
141. Jun Shu, De-Yu Meng, Zongben Xu (2020). Meta self-paced learning.DOI
142. Haotian Zhang, Jian-Yong Sun, Zongben Xu (2020). On Hyper-parameter Tuning for Stochastic Optimization Algorithms. arXiv.org.
143. Qi Xie, Qian Zhao, Zongben Xu, De-Yu Meng (2020). Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising. Science China Information Sciences.DOI
144. Qi Xie, Minghao Zhou, Qian Zhao, Zongben Xu, De-Yu Meng (2020). MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
145. Zhengyang Hu, J. Xue, De-Yu Meng, Qian Zhao, Zongben Xu (2020). MEP-Based Channel Estimation under Complex Communication Environment. ICC 2020 - 2020 IEEE International Conference on Communications (ICC).DOI
146. Tian-Hui Ma, Zongben Xu, De-Yu Meng (2020). Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling. Remote Sensing.DOI
147. Yan Yang, Na Wang, Heran Yang, Jian Sun, Zongben Xu (2020). Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image. International Conference on Medical Image Computing and Computer-Assisted Intervention.DOI
148. Haotian Zhang, Jian-Yong Sun, Zongben Xu (2020). Adaptive Structural Hyper-Parameter Configuration by Q-Learning. IEEE Congress on Evolutionary Computation.DOI
149. Jian-Yong Sun, Wei Zheng, Qing-Fu Zhang, Zongben Xu (2020). Graph Neural Network Encoding for Community Detection in Attribute Networks. IEEE Transactions on Cybernetics.DOI
150. Ziyi Yang, Jun Shu, Yong Liang, De-Yu Meng, Zongben Xu (2020). Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. arXiv.org.
151. Jun Shu, Yanwen Zhu, Qian Zhao, De-Yu Meng, Zongben Xu (2020). Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. arXiv.org.
152. Kaidong Wang, Yao Wang, Xi-Le Zhao, J. C. Chan, Zongben Xu, De-Yu Meng (2020). Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing.DOI
153. D. Hong, Jing Yao, De-Yu Meng, Zongben Xu, J. Chanussot (2020). Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing.DOI
154. Yan Yang, Jian Sun, Hui-Bin Li, Zongben Xu (2020). ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
155. Naihao Liu, Tao He, Yajun Tian, Bang-Yu Wu, Jing-Huai Gao, Zongben Xu (2020). Common-azimuth seismic data fault analysis using residual UNet.DOI
156. Jing Yao, D. Hong, J. Chanussot, De-Yu Meng, Xiao-Xiang Zhu, Zongben Xu (2020). Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. European Conference on Computer Vision.DOI
157. Jun Shu, Qian Zhao, Ke-Yu Chen, Zongben Xu, De-Yu Meng (2020). Learning Adaptive Loss for Robust Learning with Noisy Labels. arXiv.org.
158. Zongben Xu (2020). On Presuppositions of Machine Learning: A Meta Theory. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
159. Jun Shu, Yanwen Zhu, Qian Zhao, De-Yu Meng, Zongben Xu (2020). MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
160. Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu (2020). Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field. IEEE Transactions on Image Processing.DOI
161. Haotian Zhang, Yuhao Wang, Jian-Yong Sun, Zongben Xu (2020). Amortized Variational Deep Q Network. arXiv.org.
162. Haotian Zhang, Jian-Yong Sun, Zongben Xu (2020). Learning to be Global Optimizer. arXiv.org.
163. Zhaoqi Gao, Chuang Li, Bing Zhang, Xiudi Jiang, Z. Pan, Jing-Huai Gao, Zongben Xu (2020). Building large-scale density model via a deep-learning-based data-driven method.DOI
164. Chen Qiao, Lan Yang, V. Calhoun, Zongben Xu, Yu-Ping Wang (2020). Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study. Neural Networks.DOI
165. D. Zeng, Lisha Yao, Yong-Shuai Ge, Sui Li, Qi Xie, Hao Zhang, Z. Bian, Qian Zhao, Yuan-Qing Li, Zongben Xu, De-Yu Meng, Jian-Hua Ma (2020). Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction. IEEE Transactions on Medical Imaging.DOI
166. Xiangyong Cao, Jing Yao, Zongben Xu, De-Yu Meng (2020). Hyperspectral Image Classification With Convolutional Neural Network and Active Learning. IEEE Transactions on Geoscience and Remote Sensing.DOI
167. Xiang Gu, Jian Sun, Zongben Xu (2020). Spherical Space Domain Adaptation With Robust Pseudo-Label Loss. Computer Vision and Pattern Recognition.DOI
168. Benzhi Chen, Lisheng Wang, Xiu-Ying Wang, Jian Sun, Yijie Huang, D. Feng, Zongben Xu (2020). Abnormality detection in retinal image by individualized background learning. Pattern Recognition.DOI
169. 王越，徐宗本，吴一戎，管晓宏（2019）. 编者按. 《中国科学:信息科学》.
170. 徐宗本（2019）. 数字化 网络化 智能化 把握新一代信息技术的聚焦点. 《网信军民融合》.
171. 徐宗本（2019）. 数据智能研究前沿.
172. 徐宗本（2019）. “数字化、网络化、智能化” 新一代信息技术的聚焦点. 《科学中国人》.
173. 张俪文，王涛，罗坚，杨树森，徐宗本（2019）. 基于最大平均熵率的大数据关联聚类算法. 《中国科学:信息科学》.
174. Sui Li, D. Zeng, Jiangjun Peng, Z. Bian, Hao Zhang, Qi Xie, Yong-Bo Wang, Yuting Liao, Shanli Zhang, Jing Huang, De-Yu Meng, Zongben Xu, Jian-Hua Ma (2019). An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial–Temporal Total Variation Regularization. IEEE Transactions on Medical Imaging.DOI
175. Nan Meng, Yan Yang, Zongben Xu, Jian Sun (2019). A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging. International Conference on Medical Image Computing and Computer-Assisted Intervention.DOI
176. Jing Yao, De-Yu Meng, Qian Zhao, Wenfei Cao, Zongben Xu (2019). Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing. IEEE Transactions on Image Processing.DOI
177. Zhaoqi Gao, Z. Pan, Jing-Huai Gao, Zongben Xu (2019). Building long-wavelength velocity for salt structure using stochastic full waveform inversion with deep autoencoder based model reduction. SEG technical program expanded abstracts.DOI
178. Xiangyong Cao, Zongben Xu, De-Yu Meng (2019). Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. Remote Sensing.DOI
179. Jian-Yong Sun, Yiqing Zhang, J. Xue, Zongben Xu (2019). Learning to Search for MIMO Detection. IEEE Transactions on Wireless Communications.DOI
180. Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, De-Yu Meng (2019). Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. Neural Information Processing Systems.
181. Liwen Zhang, Tao Wang, Jianchao Luo, Shusen Yang, Zongben Xu (2019). Maximum average entropy-rate based correlation clustering for big data. Scientia Sinica Informationis.DOI
182. Zhimin Xia, Zongben Xu (2019). compression based on principal component analysis: from one-order to higher-order.
183. Zhaoqi Gao, Z. Pan, Chen Zuo, Jing-Hua Gao, Zongben Xu (2019). An Optimized Deep Network Representation of Multimutation Differential Evolution and its Application in Seismic Inversion. IEEE Transactions on Geoscience and Remote Sensing.DOI
184. Xing-Jia Tang, Zongben Xu, Li-Bo Li, Shuang Wang, Bingliang Hu, Feng Wang (2019). Restoration Method of Hadamard Coding Spectral Imager. Applied Spectroscopy.DOI
185. Haotian Zhang, Jian Sun, Zongben Xu (2019). Learning Neural Surrogate Model for Warm-Starting Bayesian Optimization.
186. Yang Chen, Yu-Du Li, Zongben Xu (2019). Improved Low-Rank Filtering of MR Spectroscopic Imaging Data With Pre-Learnt Subspace and Spatial Constraints. IEEE Transactions on Biomedical Engineering.DOI
187. Ziyi Yang, Xiao-Ying Liu, Jun Shu, Hui Zhang, Yan-Qiong Ren, Zongben Xu, Yong Liang (2019). Multi-view based integrative analysis of gene expression data for identifying biomarkers. Scientific Reports.DOI
188. Haixia Bi, Feng Xu, Zhi-Qiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu (2019). An Active Deep Learning Approach for Minimally-Supervised Polsar Image Classification. IEEE International Geoscience and Remote Sensing Symposium.DOI
189. Jian Sun, Zongben Xu (2019). Neural Diffusion Distance for Image Segmentation. Neural Information Processing Systems.
190. Qi Xie, Minghao Zhou, Qian Zhao, De-Yu Meng, W. Zuo, Zongben Xu (2019). Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. Computer Vision and Pattern Recognition.DOI
191. Haipei Zhang, J. Xue, De-Yu Meng, Qian Zhao, Zongben Xu (2019). Robust CSI Estimation Under Complex Communication Environment. ICC 2019 - 2019 IEEE International Conference on Communications (ICC).DOI
192. Ji He, Yan Yang, Yong-Bo Wang, D. Zeng, Z. Bian, Hao Zhang, Jian Sun, Zongben Xu, Jian-Hua Ma (2019). Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction. IEEE Transactions on Medical Imaging.DOI
193. Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, De-Yu Meng (2019). Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. arXiv.org.
194. Haixia Bi, Feng Xu, Zhi-Qiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu (2019). Unsupervised PolSAR Image Factorization with Deep Convolutional Networks. IEEE International Geoscience and Remote Sensing Symposium.DOI
195. Zhaoqi Gao, Z. Pan, Jing-Huai Gao, Zongben Xu, Ru-Shan Wu, Jicai Ding, Tao Yang (2019). Building long-wavelength velocity model via 3D frequency selected envelope inversion in the hybrid time-frequency domain. SEG 2018 Workshop: SEG Seismic Imaging Workshop, Beijing, China, 12–14 November 2018.DOI
196. Haixia Bi, Jian Sun, Zongben Xu (2019). A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing.DOI
197. Zhaoqi Gao, Zhibin Pan, Jianjun Gao, Zongben Xu (2019). Large-Dimensional Seismic Inversion Based on Global Optimization and Autoencoder. EAGE Conference and Exhibition.DOI
198. 夏志明，徐宗本（2018）. 基于PCA的信息压缩:从一阶到高阶. 《中国科学:信息科学》.
199. Ji He, Yong-Bo Wang, Yan Yang, Z. Bian, D. Zeng, Jian Sun, Zongben Xu, Jian-Hua Ma (2018). LdCT-Net: low-dose CT image reconstruction strategy driven by a deep dual network. Medical Imaging.DOI
200. J. Gao, W. Han, Yanbin He, Haixia Zhao, Hui Li, Yijie Zhang, Zongben Xu (2018). Seismic wave equations in tight oil/gas sandstone media. Science China. Earth Sciences.DOI
201. Zongben Xu, Jian Sun (2018). Model-driven deep-learning.DOI
202. Jing Yao, Xiangyong Cao, Qian Zhao, De-Yu Meng, Zongben Xu (2018). Robust subspace clustering via penalized mixture of Gaussians. Neurocomputing.DOI
203. Heng-Tao He, Shi Jin, Chao-Kai Wen, Fei-Fei Gao, G. Li, Zongben Xu (2018). Model-Driven Deep Learning for Physical Layer Communications. IEEE wireless communications.DOI
204. Shipeng Wang, Jian Sun, Zongben Xu (2018). HyperAdam: A Learnable Task-Adaptive Adam for Network Training. AAAI Conference on Artificial Intelligence.DOI
205. Jun Shu, Zongben Xu, De-Yu Meng (2018). Small Sample Learning in Big Data Era. arXiv.org.
206. Jian Fang, Shaobo Lin, Zongben Xu (2018). Learning Through Deterministic Assignment of Hidden Parameters. IEEE Transactions on Cybernetics.DOI
207. Qi Xie, Qian Zhao, De-Yu Meng, Zongben Xu (2018). Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
208. Tieliang Gong, Guang-Tao Wang, Jieping Ye, Zongben Xu, Ming Lin (2018). Margin Based PU Learning. AAAI Conference on Artificial Intelligence.DOI
209. Feng-Min Xu, Yu-Hong Dai, Zhi-Hua Zhao, Zongben Xu (2018). Efficient projected gradient methods for cardinality constrained optimization. Science China Mathematics.DOI
210. Hui Li, Qing-Fu Zhang, Jing-Da Deng, Zongben Xu (2018). A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. IEEE Transactions on Neural Networks and Learning Systems.DOI
211. Rongjian Li, Xiangyu Chang, Yu Wang, Zongben Xu (2018). Sparse $k$-Means with $\ell_{\infty}/\ell_0$ Penalty for High-Dimensional Data Clustering.DOI
212. Zongben Xu, Yirong Wu, Bingchen Zhang, Yao Wang (2018). Sparse radar imaging based on L 1/2 regularization theory.DOI
213. Wei Wei, De-Yu Meng, Qian Zhao, Zongben Xu, Ying Wu (2018). Semi-Supervised Transfer Learning for Image Rain Removal. Computer Vision and Pattern Recognition.DOI
214. Heran Yang, Jian Sun, A. Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L Prince (2018). Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. DLMIA/ML-CDS@MICCAI.DOI
215. Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang (2018). Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. Bioinform..DOI
216. Wei Wei, De-Yu Meng, Qian Zhao, Zongben Xu (2018). Semi-supervised CNN for Single Image Rain Removal. arXiv.org.
217. Benzhi Chen, Lisheng Wang, Jian Sun, Huai Chen, Yinghua Fu, Shouren Lan, Yijie Huang, Zongben Xu (2018). Diverse lesion detection from retinal images by subspace learning over normal samples. Neurocomputing.DOI
218. Fenghui Wang, Wenfei Cao, Zongben Xu (2018). Convergence of multi-block Bregman ADMM for nonconvex composite problems. Science China Information Sciences.DOI
219. 夏志明，赵文芝，徐宗本（2017）. 张量主成分分析与高维信息压缩方法. 《工程数学学报》.
220. 徐宗本，杨燕，孙剑（2017）. 求解反问题的一个新方法:模型求解与范例学习结合. 《中国科学:数学》.
221. 吴帮玉，吴如山，高静怀，徐宗本（2017）. 基于时空局域化dreamlet单程波算子的观测系统沉降法偏移. 《地球物理学报》.
222. 徐宗本，张行勇（2017）. 大数据应用价值与挑战并存. 《中国科学报》.
223. 汪玲玲，高静怀，赵谦，徐宗本，姜秀娣（2017）. 基于矩阵Toeplitz稀疏分解的相对波阻抗反演方法. 《地球物理学报》.
224. Mingwei Dai, Jingsi Ming, M. Cai, Jin Liu, Can Yang, Xiang Wan, Zongben Xu (2017). IGESS: a statistical approach to integrating individual‐level genotype data and summary statistics in genome‐wide association studies. Bioinform..DOI
225. Kaidong Wang, Yao Wang, Qian Zhao, De-Yu Meng, Xiu-Wu Liao, Zongben Xu (2017). SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. IEEE Transactions on Cybernetics.DOI
226. Heran Yang, Jian Sun, Hui-Bin Li, Lisheng Wang, Zongben Xu (2017). Neural multi‐atlas label fusion: Application to cardiac MR images. Medical Image Anal..DOI
227. Y. Chen, Xiangyong Cao, Qian Zhao, De-Yu Meng, Zongben Xu (2017). Denoising Hyperspectral Image With Non-i.i.d. Noise Structure. IEEE Transactions on Cybernetics.DOI
228. D. Zeng, Qi Xie, Wenfei Cao, Jiahui Lin, Hao Zhang, Shanli Zhang, Jing Huang, Z. Bian, De-Yu Meng, Zongben Xu, Zhengrong Liang, Wu-Fan Chen, Jian-Hua Ma (2017). Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis Representation Tensor Sparsity Regularization. IEEE Transactions on Medical Imaging.DOI
229. Jing-Huai Gao, Bing Zhang, W. Han, Ji-Gen Peng, Zongben Xu (2017). A new approach for extracting the amplitude spectrum of the seismic wavelet from the seismic traces.DOI
230. Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, De-Yu Meng, Zongben Xu (2017). Should We Encode Rain Streaks in Video as Deterministic or Stochastic? IEEE International Conference on Computer Vision.DOI
231. Xiaofeng Zhu, Xue-Long Li, Shichao Zhang, Zongben Xu, Li-Tao Yu, Can Wang (2017). Graph PCA Hashing for Similarity Search. IEEE transactions on multimedia.DOI
232. Haixia Bi, Jian Sun, Zongben Xu (2017). Unsupervised PolSAR Image Classification Using Discriminative Clustering. IEEE Transactions on Geoscience and Remote Sensing.DOI
233. Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu (2017). Polsar image classification based on three-dimensional wavelet texture features and Markov random field. IEEE International Geoscience and Remote Sensing Symposium.DOI
234. Shouren Lan, Lisheng Wang, Yipeng Song, Yu-Ping Wang, Liping Yao, K. Sun, Bin Xia, Zongben Xu (2017). Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design. IEEE Transactions on Visualization and Computer Graphics.DOI
235. Tieliang Gong, Zongben Xu, Hong Chen (2017). Generalization Analysis of Fredholm Kernel Regularized Classifiers. Neural Computation.DOI
236. Qi Xie, D. Zeng, Qian Zhao, De-Yu Meng, Zongben Xu, Zhengrong Liang, Jian-Hua Ma (2017). Robust Low-dose CT Sinogram Preprocessing via Exploiting Noise-generating Mechanism. IEEE Transactions on Medical Imaging.DOI
237. Xiangyong Cao, Lin Xu, De-Yu Meng, Qian Zhao, Zongben Xu (2017). Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. Neurocomputing.DOI
238. Xiangyong Cao, Feng Zhou, Lin Xu, De-Yu Meng, Zongben Xu, J. Paisley (2017). Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. IEEE Transactions on Image Processing.DOI
239. Hui-Bin Li, Jian Sun, Zongben Xu, Liming Chen (2017). Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network. IEEE transactions on multimedia.DOI
240. Haixia Bi, Jian Sun, Zongben Xu (2017). PolSAR image classification using discriminative clustering. 2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP).DOI
241. 徐宗本（2016）. 用好大数据须有大智慧. 《政策》.
242. 徐宗本（2016）. 用好大数据须有大智慧——准确把握、科学应对大数据带来的机遇和挑战. 《中国科技奖励》.
243. 徐宗本（2016）. 用大智慧实现大数据的大价值. 《新湘评论》.
244. 徐宗本（2016）. 院士寄语. 《高科技与产业化》.
245. Yan Yang, Jian Sun, Hui-Bin Li, Zongben Xu (2016). Deep ADMM-Net for Compressive Sensing MRI. Neural Information Processing Systems.
246. Shiying He, Yao Wang, Jian-Jun Wang, Zongben Xu (2016). Block-sparse compressed sensing with partially known signal support via non-convex minimisation. IET Signal Processing.DOI
247. Xiangyong Cao, Qian Zhao, De-Yu Meng, Yang Chen, Zongben Xu (2016). Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. IEEE Transactions on Image Processing.DOI
248. Jian Fang, D. Lin, S. Schulz, Zongben Xu, V. Calhoun, Yu-Ping Wang (2016). Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. Bioinform..DOI
249. Tieliang Gong, Bin Zou, Zongben Xu (2016). Learning With $\ell _{1}$ -Regularizer Based on Markov Resampling. IEEE Transactions on Cybernetics.DOI
250. Heran Yang, Jian Sun, Hui-Bin Li, Lisheng Wang, Zongben Xu (2016). Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images. International Conference on Medical Image Computing and Computer-Assisted Intervention.DOI
251. Ling-Ling Wang, Qian Zhao, Jing-Huai Gao, Zongben Xu, M. Fehler, Xiudi Jiang (2016). Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization.DOI
252. Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yixin Fang, Zongben Xu (2016). Greedy Criterion in Orthogonal Greedy Learning. IEEE Transactions on Cybernetics.DOI
253. Lin Xu, Shaobo Lin, Zongben Xu (2016). Learning capability of the truncated greedy algorithm. Science China Information Sciences.DOI
254. Qi Xie, Qian Zhao, De-Yu Meng, Zongben Xu, Shu-Hang Gu, W. Zuo, Lei Zhang (2016). Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. Computer Vision and Pattern Recognition.DOI
255. Hui Li, Yuanyuan Fan, Qing-Fu Zhang, Zongben Xu, Jing-Da Deng (2016). A multi-phase multiobjective approach based on decomposition for sparse reconstruction. IEEE Congress on Evolutionary Computation.DOI
256. Yong Liang, Hua Chai, Xiao-Ying Liu, Zongben Xu, Hai Zhang, K. Leung (2016). Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization. BMC Medical Genomics.DOI
257. D. Zeng, Qi Xie, Z. Bian, De-Yu Meng, Jing Huang, Zongben Xu, Zhengrong Liang, Wu-Fan Chen, Jian-Hua Ma (2016). Noise suppression for cerebral perfusion CT via intrinsic tensor sparsity regularization: Initial study. 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).DOI
258. 徐宗本（2015）. 稀疏信息处理:若干新进展与发展趋势. 《2015年中国自动化大会摘要集》.
259. Jian Sun, Wenfei Cao, Zongben Xu, J. Ponce (2015). Learning a convolutional neural network for non-uniform motion blur removal. Computer Vision and Pattern Recognition.DOI
260. Zongben Xu, Yong Shi (2015). Exploring Big Data Analysis: Fundamental Scientific Problems. Annals of Data Science.DOI
261. Xia Liu, Shaobo Lin, Jian Fang, Zongben Xu (2015). Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I). IEEE Transactions on Neural Networks and Learning Systems.DOI
262. Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu (2015). Jackson-type inequalities for spherical neural networks with doubling weights. Neural Networks.DOI
263. Wenfei Cao, Yao Wang, Jian Sun, De-Yu Meng, Can Yang, A. Cichocki, Zongben Xu (2015). A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. arXiv.org.
264. Jie Xu, Yuan-Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Bao-Chang Zhang (2015). The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Transactions on Cybernetics.DOI
265. Shaobo Lin, Yao Wang, Zongben Xu (2015). Shrinkage Degree in $L_{2}$ -Rescale Boosting for Regression. IEEE Transactions on Neural Networks and Learning Systems.DOI
266. Zhi Han, Zongben Xu, Song-Chun Zhu (2015). Video Primal Sketch: A Unified Middle-Level Representation for Video. Journal of Mathematical Imaging and Vision.DOI
267. Feng-Min Xu, Zhao-Song Lu, Zongben Xu (2015). An efficient optimization approach for a cardinality-constrained index tracking problem. Optim. Methods Softw..DOI
268. Qian Zhao, De-Yu Meng, Zongben Xu, Chenqiang Gao (2015). A block coordinate descent approach for sparse principal component analysis. Neurocomputing.DOI
269. Feng-Min Xu, Zongben Xu, Hong-Gang Xue (2015). Sparse Index Tracking Based On $L_{1/2}$ Model And Algorithm.
270. Guang-Bin Huang, E. Cambria, K. Toh, B. Widrow, Zongben Xu (2015). New Trends of Learning in Computational Intelligence [Guest Editorial]. IEEE Computational Intelligence Magazine.DOI
271. Dong Liang, Chen Qiao, Zongben Xu (2015). Enhancing Both Efficiency and Representational Capability of Isomap by Extensive Landmark Selection.DOI
272. Hui-Bin Li, Jian Sun, Dong Wang, Zongben Xu, Liming Chen (2015). Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition. arXiv.org.
273. Qian Zhao, De-Yu Meng, Zongben Xu, W. Zuo, Yan Yan (2015). $L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method. IEEE Transactions on Neural Networks and Learning Systems.DOI
274. Tieliang Gong, Qian Zhao, De-Yu Meng, Zongben Xu (2015). Why curriculum learning & self-paced learning work in big/noisy data: A theoretical perspective.DOI
275. Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu (2015). Folded-concave penalization approaches to tensor completion. Neurocomputing.DOI
276. De-Yu Meng, Biao Zhang, Zongben Xu, Lei Zhang, Chenqiang Gao (2015). Robust low-rank tensor factorization by cyclic weighted median. Science China Information Sciences.DOI
277. Guang-Bin Huang, E. Cambria, K. Toh, B. Widrow, Zongben Xu (2015). New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]. IEEE Computational Intelligence Magazine.DOI
278. Ling-Ling Wang, Qian Zhao, Jing-Huai Gao, Zongben Xu, M. Fehler (2015). Seismic Sparse-Spike Deconvolution using Toeplitz-Sparse Matrix Factorization.DOI
279. Shaobo Lin, Xing-Ping Sun, Zongben Xu, Jinshan Zeng (2015). Model selection of polynomial kernel regression. arXiv.org.
280. Qian Zhao, De-Yu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu (2015). A Novel Sparsity Measure for Tensor Recovery. IEEE International Conference on Computer Vision.DOI
281. Jie Xu, Yuan-Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu (2015). The Generalization Ability of Online SVM Classification Based on Markov Sampling. IEEE Transactions on Neural Networks and Learning Systems.DOI
282. Shaobo Lin, Jinshan Zeng, Zongben Xu (2015). Error Estimate for Spherical Neural Networks Interpolation. Neural Processing Letters.DOI
283. Qian Zhao, De-Yu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander Hauptmann (2015). Self-Paced Learning for Matrix Factorization. AAAI Conference on Artificial Intelligence.DOI
284. Zhi-Hai Yang, Lin Xu, Zhongmin Cai, Zongben Xu (2015). Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. Knowledge-Based Systems.DOI
285. Xiangyong Cao, Yang Chen, Qian Zhao, De-Yu Meng, Yao Wang, Dong Wang, Zongben Xu (2015). Low-Rank Matrix Factorization under General Mixture Noise Distributions. IEEE International Conference on Computer Vision.DOI
286. Wenfei Cao, Yao Wang, Jian Sun, De-Yu Meng, Can Yang, A. Cichocki, Zongben Xu (2015). Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. IEEE Transactions on Image Processing.DOI
287. Qian Zhao, De-Yu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu (2015). Supplementary Material of “ A Novel Sparsity Measure for Tensor Recovery ”.
288. 李继成，徐宗本，彭济根，马知恩，王绵森（2014）. “五模块”大学数学课程师资培训模式创新与实践. 《中国大学教学》, No. 11.下载原文
289. 徐宗本，冯芷艳，郭迅华，曾大军，陈国青（2014）. 大数据驱动的管理与决策前沿课题. 《管理世界》, No. 11.下载原文
290. 徐宗本，张维，刘雷，郭崇慧，于剑，池明旻，朱扬勇（2014）. “数据科学与大数据的科学原理及发展前景”——香山科学会议第462次学术讨论会专家发言摘登香山科学会议第次学术讨论会专家发言摘登. 《科技促进发展》.
291. Bin Zou, Yuan-Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu (2014). The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Transactions on Cybernetics.DOI
292. Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu (2014). $L_{1/2}$ Regularization: Convergence of Iterative Half Thresholding Algorithm. IEEE Transactions on Signal Processing.DOI
293. Qian Zhao, De-Yu Meng, Zongben Xu (2014). Robust sparse principal component analysis. Science China Information Sciences.DOI
294. Hai Zhang, Zongben Xu, Yao Wang, Xiangyu Chang, Yong Liang (2014). A sharp nonasymptotic bound and phase diagram of L1/2 regularization.DOI
295. Cheng-Yi Zhang, Fengmin Xu, Zongben Xu, Ji-Cheng Li (2014). General H-matrices and their Schur complements.DOI
296. Dong Liang, Feng Li, Zongben Xu (2014). The number of spanning trees in a new lexicographic product of graphs. Science China Information Sciences.DOI
297. Cheng-Yi Zhang, Shuang-Hua Luo, Zongben Xu (2014). On parallel multisplitting block iterative methods for linear systems arising in the numerical solution of Euler equations. Journal of Computational and Applied Mathematics.DOI
298. Yao Wang, Jian-Jun Wang, Zongben Xu (2014). Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Processing.DOI
299. Yi Peng, De-Yu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang (2014). Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising. 2014 IEEE Conference on Computer Vision and Pattern Recognition.DOI
300. Hui Wang, Ting-Zhu Huang, Zongben Xu, Yi-Lun Wang (2014). An active contour model and its algorithms with local and global Gaussian distribution fitting energies. Information Sciences.DOI
301. Ling-Ling Wang, Jing-Hua Gao, Zongben Xu, Bin Weng, Xiudi Jiang (2014). Hydrocarbon detection using adaptively selected spectrum attenuation.DOI
302. Jian Fang, Shaobo Lin, Zongben Xu (2014). Learning and approximation capabilities of orthogonal super greedy algorithm. Knowledge-Based Systems.DOI
303. Lisheng Wang, Pai Wang, Liuhang Cheng, Yu Ma, Shen-Zhi Wu, Yu-Ping Wang, Zongben Xu (2014). Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image. IEEE Transactions on Visualization and Computer Graphics.DOI
304. Jian Yu, Zongben Xu (2014). Categorization Axioms for Classification and Clustering. arXiv.org.
305. Qian Zhao, De-Yu Meng, Zongben Xu, W. Zuo, Lei Zhang (2014). Robust Principal Component Analysis with Complex Noise. International Conference on Machine Learning.
306. Xiangyong Cao, Xiangyu Chang, Zongben Xu (2014). Community Detection for Clustered Attributed Graphs via a Variational EM Algorithm. Big Data.DOI
307. Bo Huang, Huihui Song, Hengbin Cui, Ji-Gen Peng, Zongben Xu (2014). Spatial and Spectral Image Fusion Using Sparse Matrix Factorization. IEEE Transactions on Geoscience and Remote Sensing.DOI
308. Feng Li, Haixing Zhao, Zongben Xu (2014). Vertex forwarding indices of the lexicographic product of graphs.DOI
309. Cheng Liu, Yong Liang, Xin-Ze Luan, K. Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang (2014). The L1/2 regularization method for variable selection in the Cox model. Applied Soft Computing.DOI
310. Feng Li, Haixing Zhao, Zongben Xu (2014). Constructing a Reliability Dominating Set of a New Family of Networks: Constructing a Reliability Dominating Set of a New Family of Networks.DOI
311. Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu (2014). Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). IEEE Transactions on Neural Networks and Learning Systems.DOI
312. Jie Huang, Ting-Zhu Huang, Xi-Le Zhao, Zongben Xu, Xiao-Guang Lv (2014). Two soft-thresholding based iterative algorithms for image deblurring. Information Sciences.DOI
313. Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu (2014). Enhancing Low-Rank Subspace Clustering by Manifold Regularization. IEEE Transactions on Image Processing.DOI
314. Rui-Hu Li, Luo-Bin Guo, Zongben Xu (2014). Entanglement-assisted quantum codes achieving the quantum singleton bound but violating the quantum hamming bound. Quantum information & computation.DOI
315. Feng Li, Zongben Xu (2014). Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks. IEEE Signal Processing Letters.DOI
316. Xin-Ze Luan, Yong Liang, Cheng Liu, K. Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang (2014). A novel L1/2 regularization shooting method for Cox’s proportional hazards model. Soft Computing - A Fusion of Foundations, Methodologies and Applications.DOI
317. Lisheng Wang, Zongben Xu (2014). Quantitative Studies on Asymptotic Growth Behaviors of Trajectories of Nonlinear Discrete Dynamical Systems. IEEE Transactions on Automatic Control.DOI
318. Jian Yu, Zongben Xu (2014). Axiomatizing clustering results.
319. Jie Xu, Yuan-Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu (2014). Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks.DOI
320. Shaobo Lin, Yuanhua Rong, Zongben Xu (2014). Multivariate Jackson-type inequality for a new type neural network approximation.DOI
321. Qi Xie, De-Yu Meng, Shu-Hang Gu, Lei Zhang, W. Zuo, Xiangchu Feng, Zongben Xu (2014). On the Optimal Solution of Weighted Nuclear Norm Minimization. arXiv.org.
322. Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang, Zongben Xu (2014). Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing. IEEE Transactions on Signal Processing.DOI
323. Jinshan Zeng, Shaobo Lin, Zongben Xu (2014). Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm. IEEE Transactions on Signal Processing.DOI
324. Jian Yu, Zongben Xu (2014). Categorization Axioms for Clustering Results.
325. Yee Leung, Deyu Meng, Zongben Xu (2013). Evaluation of a Spatial Relationship by the Concept of Intrinsic Spatial Distance. Geographical Analysis, Vol. 45, No. 4.DOI
326. Liangjun Ke, Zongben Xu, Zuren Feng, Ke Shang, Xueming Qian (2013). Proportion-based robust optimization and team orienteering problem with interval data. European Journal Of Operational Research, Vol. 226, No. 1.DOI
327. 张海，梁勇，徐宗本，常象宇（2013）. 基于SCAD罚函数的有噪压缩感知. 《数学学报(中文版)》.
328. 饶过，彭毅，徐宗本（2013）. 基于S1/2建模的稳健稀疏–低秩矩阵分解. 《中国科学:信息科学》.
329. Jian Sun, Hongyan Zhu, Zongben Xu, Chongzhao Han (2013). Poisson image fusion based on Markov random field fusion model. Information Fusion.DOI
330. G. Rao, Yi Peng, Zongben Xu (2013). Robust sparse and low-rank matrix decomposition based on S 1/2 modeling.DOI
331. Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu, Y. Soh (2013). Dynamic Extreme Learning Machine and Its Approximation Capability. IEEE Transactions on Cybernetics.DOI
332. Xiao-Guang Lv, Ting-Zhu Huang, Zongben Xu, Xi-Le Zhao (2013). A special Hermitian and skew-Hermitian splitting method for image restoration☆.DOI
333. Xiao-Ying Liu, Yong Liang, Zongben Xu, Hai Zhang, K. Leung (2013). Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data. TheScientificWorldJournal.DOI
334. Shaobo Lin, Jinshan Zeng, Zongben Xu (2013). Interpolation and Best Approximation for Spherical Radial Basis Function Networks.DOI
335. Xia Liu, Shaobo Lin, Zongben Xu (2013). Is Extreme Learning Machine feasible ? A Theoretical Assessment ∗.
336. Jinshan Zeng, Zongben Xu, Bingchen Zhang, W. Hong, Yirong Wu (2013). Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills. Signal Processing.DOI
337. De-Yu Meng, Hengbin Cui, Zongben Xu, Kai-Li Jing (2013). Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm. Data & Knowledge Engineering.DOI
338. De-Yu Meng, Y. Leung, Zongben Xu (2013). The strong convergence of visual classification method and its applications. Information Sciences.DOI
339. Chen Qiao, Wenfeng Jing, Zongben Xu (2013). The UPPAM continuous-time RNN model and its critical dynamics study. Neurocomputing.DOI
340. De-Yu Meng, Qian Zhao, Y. Leung, Zongben Xu (2013). Learning dictionary from signals under global sparsity constraint. Neurocomputing.DOI
341. Jun Liu, Ting-Zhu Huang, Zongben Xu, Xiao-Guang Lv (2013). High-order total variation-based multiplicative noise removal with spatially adapted parameter selection. Journal of The Optical Society of America A-optics Image Science and Vision.DOI
342. Wenfei Cao, Jian Sun, Zongben Xu (2013). Fast image deconvolution using closed-form thresholding formulas of regularization. Journal of Visual Communication and Image Representation.DOI
343. Jian Fang, Zongben Xu, Bingchen Zhang, W. Hong, Yirong Wu (2013). Fast Compressed Sensing SAR Imaging Based on Approximated Observation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.DOI
344. Feng Li, Zongben Xu, Shihua Zhu (2013). Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation. IEEE Transactions on Vehicular Technology.DOI
345. De-Yu Meng, Zongben Xu, Lei Zhang, Ji Zhao (2013). A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries. AAAI Conference on Artificial Intelligence.DOI
346. Chunzhong Li, Zongben Xu, Chen Qiao, Tao Luo (2013). Hierarchical clustering driven by cognitive features. Science China Information Sciences.DOI
347. De-Yu Meng, Y. Leung, Zongben Xu (2013). Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds. Pattern Recognition.DOI
348. De-Yu Meng, Y. Leung, Zongben Xu (2013). Detecting Intrinsic Loops Underlying Data Manifold. IEEE Transactions on Knowledge and Data Engineering.DOI
349. Jian Fang, Zongben Xu, Bingchen Zhang, W. Hong, Yirong Wu (2013). Compressed Sensing SAR Imaging with Multilook Processing. arXiv.org.
350. Shaobo Lin, Xia Liu, Yuanhua Rong, Zongben Xu (2013). Almost optimal estimates for approximation and learning by radial basis function networks. Machine-mediated learning.DOI
351. Yao Wang, Jian-Jun Wang, Zongben Xu (2013). On recovery of block-sparse signals via mixed l2/lq(0 < q ≤ 1) norm minimization. EURASIP Journal on Advances in Signal Processing.DOI
352. Shaobo Lin, Yuanhua Rong, Xing-Ping Sun, Zongben Xu (2013). Learning Capability of Relaxed Greedy Algorithms. IEEE Transactions on Neural Networks and Learning Systems.DOI
353. Jinshan Zeng, Shaobo Lin, Zongben Xu (2013). Sparse solution of underdetermined linear equations via adaptively iterative thresholding. Signal Processing.DOI
354. Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan-Yan Tang (2013). Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. IEEE Transactions on Neural Networks and Learning Systems.DOI
355. Chunzhong Li, Zongben Xu, Tao Luo (2013). A heuristic hierarchical clustering based on multiple similarity measurements. Pattern Recognition Letters.DOI
356. Yong Liang, Cheng Liu, Xin-Ze Luan, K. Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang (2013). Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinformatics.DOI
357. Shaobo Lin, Xing-Ping Sun, Zongben Xu (2013). Discretizing spherical integrals and its applications.DOI
358. Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu (2013). Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel. Neural Computation.DOI
359. Bin Zou, Zhiming Peng, Zongben Xu (2013). The learning performance of support vector machine classification based on Markov sampling. Science China Information Sciences.DOI
360. Rui-Hu Li, Fei Zuo, Yang Liu, Zongben Xu (2013). Hermitian dual containing BCH codes and construction of new quantum codes. Quantum information & computation.DOI
361. Shaobo Lin, Xiaofei Guo, F. Cao, Zongben Xu (2013). Approximation by neural networks with scattered data. Applied Mathematics and Computation.DOI
362. Yao Wang, Jian-Jun Wang, Zongben Xu (2013). A Note on Block-Sparse Signal Recovery with Coherent Tight Frames.DOI
363. 赵谦，孟德宇，徐宗本（2012）. L1/2正则化Logistic回归. 《模式识别与人工智能》.
364. 徐宗本，郭海亮，王尧，张海（2012）. L1/2正则子在Lq（0<q<1）正则子中的代表性:基于相位图的实验研究（英文）. 《自动化学报》.
365. 乔琛，徐宗本（2012）. Sigmoid型静态连续反馈神经网络的临界全局指数稳定性. 《应用数学学报》.
366. 徐宗本（2012）. 从大学数学走向现代数学. 《科学出版社》.
367. 黄捷，黄廷祝，赵熙乐，徐宗本（2012）. 基于移位反射边界条件的图像复原. 《中国科学:信息科学》.
368. 李春忠，徐宗本，乔琛（2012）. 带信息反馈的凝聚层次聚类算法. 《中国科学:信息科学》.
369. Hui Li, Xiaolei Su, Zongben Xu, Qing-Fu Zhang (2012). MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. Parallel Problem Solving from Nature.DOI
370. Qian Zhao, De-Yu Meng, Zongben Xu (2012). A recursive divide-and-conquer approach for sparse principal component analysis. arXiv.org.
371. Jinshan Zeng, Jian Fang, Zongben Xu (2012). Sparse SAR imaging based on L1/2 regularization. Science China Information Sciences.DOI
372. Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu (2012). Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes. IEEE Transactions on Neural Networks and Learning Systems.DOI
373. Zongben Xu, Hao Guo, Yao Wang, Hai Zhang (2012). Representative of L1/2 Regularization among Lq (0 < q ≤ 1) Regularizations: an Experimental Study Based on Phase Diagram.DOI
374. Jian Fang, Zongben Xu, Chenglong Jiang, Bingchen Zhang, W. Hong (2012). SAR range ambiguity suppression via sparse regularization. IEEE International Geoscience and Remote Sensing Symposium.DOI
375. Hai Zhang, Yong Liang, HaiLiang Gou, Zongben Xu (2012). The essential ability of sparse reconstruction of different compressive sensing strategies. Science China Information Sciences.DOI
376. Cheng Liu, Yong Liang, Xin-Ze Luan, K. Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang (2012). Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. International Conference on Swarm Intelligence.DOI
377. Cheng Liu, Yong Liang, Xin-Ze Luan, K. Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang (2012). A Improve Direct Path Seeking Algorithm for L1/2 Regularization, with Application to Biological Feature Selection. International Conference on Biomedical Engineering and Biotechnology.DOI
378. Zongben Xu, Xiangyu Chang, Feng-Min Xu, Hai Zhang (2012). $L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver. IEEE Transactions on Neural Networks and Learning Systems.DOI
379. Bin Zou, Luoqing Li, Zongben Xu (2012). Generalization performance of least-square regularized regression algorithm with Markov chain samples.DOI
380. Shaobo Lin, F. Cao, Xiangyu Chang, Zongben Xu (2012). Full length article: A general radial quasi-interpolation operator on the sphere.DOI
381. Shaobo Lin, F. Cao, Zongben Xu (2012). A convergence rate for approximate solutions of Fredholm integral equations of the first kind.DOI
382. Shouzhong Fu, Zongben Xu, Guang-Sheng Wei (2012). THE INTERLACING OF SPECTRA BETWEEN CONTINUOUS AND DISCONTINUOUS STURM-LIOUVILLE PROBLEMS AND ITS APPLICATION TO INVERSE PROBLEMS.DOI
383. Rui Zhang, Zongben Xu, Guang-Bin Huang, Dian-Hui Wang (2012). Global Convergence of Online BP Training With Dynamic Learning Rate. IEEE Transactions on Neural Networks and Learning Systems.DOI
384. Xin-Ze Luan, Yong Liang, Cheng Liu, Zongben Xu, Hai Zhang, K. Leung, Tak-Ming Chan (2012). Regularization Path for Linear Model via Net Method. International Conference on Swarm Intelligence.DOI
385. Shaobo Lin, Feilong Cao, Zongben Xu, Xiaofei Guo (2012). Cubature formula for spherical basis function networks. Chinese Annals of Mathematics Series B.DOI
386. Jian Fang, Jinshan Zeng, Zongben Xu, Yao Zhao (2012). Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method. Science China Information Sciences.DOI
387. 陈蓉，孙剑，徐宗本（2011）. 彩色图像分割中基于图上半监督学习算法研究. 《西安交通大学学报》.
388. 曾锦山，张海，徐宗本（2011）. 学习算法的稳定性与泛化(Ⅱ):有界差分稳定框架. 《高校应用数学学报A辑》.
389. 韩志，朱旭，徐宗本（2011）. 基于度分析的广义胞映射分析方法. 《应用数学学报》.
390. 邹斌，徐宗本，张海（2011）. 基于β-混合输入的经验风险最小化回归的学习速率(英文). 《应用概率统计》.
391. 韩志，孟德宇，徐宗本，古楠楠 (2011). Incremental Alignment Manifold Learning. Journal of Computer Science & Technology.
392. 徐宗本，张永全，曹飞龙（2011）. 多元回归学习算法收敛速度的估计. 《中国科学:信息科学》.
393. 徐宗本（2011）. 信息工程概论. 《科学出版社》.
394. Jie Wen Huang, Ting‐Zhu Huang, Xi-Le Zhao, Zongben Xu (2011). Image restoration with shifting reflective boundary conditions. Science China Information Sciences.DOI
395. Bin Zou, Zongben Xu, Jie Xu (2011). Generalization bounds of ERM algorithm with Markov chain samples. Acta Mathematicae Applicatae Sinica English Series.DOI
396. Fengmin Xu, Wang Shanhe, Zongben Xu (2011). A hybrid hard thresholding algorithm for compressed sensing. IEEE International Conference on Communication Software and Networks.DOI
397. Zongben Xu (2011). Data Modeling: Visual Psychology Approach and L 1/2 Regularization Theory. International Congress of Mathematicians (ICM).DOI
398. 常象宇，徐宗本，张海，王建军，梁勇（2010）. 稳健Lq（0<q<1）正则化理论:解的渐近分布与变量选择一致性. 《中国科学:数学》.
399. 孟德宇，徐晨，徐宗本（2010）. 基于Isomap的流形结构重建方法. 《计算机学报》.
400. 张海，王尧，常象宇，徐宗本（2010）. L1/2正则化. 《中国科学:信息科学》.
401. Liangjun Ke, Zuren Feng, Zongben Xu, Ke Shang, Yonggang Wang (2010). A multiobjective ACO algorithm for rough feature selection.DOI
402. 傅守忠，徐宗本，魏广生（2009）. 不定型Sturm-Liouville逆问题. 《数学学报(中文版)》.
403. 王建军，徐宗本（2009）. 神经网络的加权本质逼近阶. 《数学年刊A辑(中文版)》.
404. 乔琛，徐宗本（2009）. 局部域反馈神经网络的全局收敛性. 《应用数学学报》.
405. 张海，徐宗本（2009）. 学习算法的稳定性与泛化:一种新的稳定性框架. 《数学学报(中文版)》.
406. 李风军，徐宗本，李星（2009）. 多元q-Stancu多项式的收敛性及其收敛阶刻画. 《系统科学与数学》.
407. 乔琛，徐宗本（2009）. 最近点投影型反馈神经网络的临界分析. 《工程数学学报》.
408. 王建军，徐宗本（2009）. 多元多项式函数的三层前向神经网络逼近方法. 《计算机学报》.
409. 曹飞龙，张永全，徐宗本（2009）. 神经网络逼近速度下界估计. 《中国科学:信息科学》.
410. 徐宗本，樊忠泽（2009）. 基于云神经网络的空间推进系统故障检测与诊断. 《兵工学报》.
411. Lisheng Wang, Rui Zhang, Zongben Xu, Jigen Peng (2009). Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).DOI
412. 乔琛，徐宗本（2008）. 对《高等数学》中求解最值问题的进一步讨论. 《数学的实践与认识》.
413. 徐文雄，张太雷，徐宗本（2008）. 两种群相互竞争的高维SEIR传染病模型全局渐近稳定性. 《纯粹数学与应用数学》.
414. 孟德宇，古楠楠，徐宗本，梁怡（2008）. 针对环状流形数据的非线性降维. 《软件学报》.
415. 靖稳峰，李乃成，徐宗本（2008）. 虚拟企业管理中伙伴选择问题的数学模型(英文). 《工程数学学报》.
416. 王建军，徐宗本（2008）. Baskakov算子线性组合加Jacobi权逼近及高阶导数的正逆定理. 《系统科学与数学》.
417. 陈志平，王懿，徐宗本（2008）. 基于下半矩风险度量与t分布的单向金融指数跟踪模型. 《应用数学学报》.
418. 张永全，曹飞龙，徐宗本（2008）. Cardaliguet-Eurrard型神经网络算子逼近. 《数学学报(中文版)》.
419. 李风军，徐宗本，郑开杰（2008）. 单纯形上的q-Stancu多项式的最优逼近阶. 《数学学报(中文版)》.
420. 徐文雄，张太雷，徐宗本（2008）. 一类具有多时滞捕食-被捕食系统正周期解的存在性. 《数学物理学报》.
421. 张海，徐宗本（2008）. 学习理论综述(I):稳定性与泛化性. 《工程数学学报》.
422. 孟德宇，徐宗本，戴明伟（2007）. 一种新的有监督流形学习方法. 《计算机研究与发展》.
423. 徐文雄，张太雷，徐宗本（2007）. 非线性高维自治微分系统SEIQR流行病模型全局稳定性. 《工程数学学报》.
424. 李风军，徐宗本（2007）. 多元推广的Bernstein算子的逼近性质. 《应用数学学报》.
425. 凌永发，徐宗本（2007）. 一种均衡网络流量的遗传算法. 《计算机工程》.
426. 徐宗本，张讲社（2007）. 基于认知的非结构化信息处理:现状与趋势. 《中国基础科学》.
427. 祝转民，徐宗本（2007）. 卫星初始轨道确定方法研究. 《中国空间科学技术(中英文)》.
428. Deyu Meng, Zongben Xu, Nannan Gu, Mingwei Dai (2007). Estimating geodesic distances on locally linear patches. IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).DOI
429. Lisheng Wang, Zongben Xu, Qunfei Zhao (2007). Quantitative Characterizations of Exponential Convergence Property of Nonlinear Discrete Dynamical Systems. IEEE Transactions on Automatic Control.DOI
430. Chuanxi Zhu, Zongben Xu (2007). Inequalities and solution of an operator equation. Applied Mathematics Letters.DOI
431. 徐文雄，尹洪位，徐宗本（2006）. 饱和传染力反应扩散方程D-SIS流行病模型渐近分析. 《西安交通大学学报》.
432. 谷雨，赵佳枢，张天军，徐宗本（2006）. 基于免疫多样性的分布式入侵检测算法. 《西安交通大学学报》.
433. 凌永发，徐宗本（2006）. 一种求解网络最大流问题的算法. 《计算机科学》.
434. 祝转民，柳立，徐宗本（2006）. 基于稳健补偿的卫星数据电波折射误差修正方法. 《系统工程与电子技术》.
435. 谷雨，徐宗本，孙剑，郑锦辉（2006）. 基于PCA与ICA特征提取的入侵检测集成分类系统. 《计算机研究与发展》.
436. 魏广生，徐宗本（2006）. 常型Sturm-Liouville问题的左定边值条件(英文). 《数学进展》.
437. 王建军，徐宗本（2006）. 近似指数型神经网络的本质逼近阶. 《中国科学:技术科学》.
438. Chuanxi Zhu, Zongben Xu (2006). Random ambiguous point of random k(ω) -set–contractive operator. Journal of Mathematical Analysis and Applications.DOI
439. 李乃成，靖稳峰，徐宗本（2005）. 伙伴选择问题正规解的存在性. 《西安交通大学学报》.
440. 孙剑，徐宗本（2005）. 计算机视觉中的尺度空间方法. 《工程数学学报》.
441. 魏广生，徐宗本（2005）. 不定与定型Sturm-Liouville问题间特征值不等式. 《数学学报(中文版)》.
442. 徐文雄，张仲华，徐宗本（2005）. 具有一般形式饱和接触率SEIS模型渐近分析. 《生物数学学报》.
443. 谷雨，郑锦辉，孙剑，徐宗本（2005）. 基于独立成分分析和支持向量机的入侵检测方法. 《西安交通大学学报》.
444. 李有梅，申建中，徐宗本（2005）. 投影型神经网络算法的全局收敛性分析. 《计算机学报》.
445. 祝转民，秋宏兴，徐宗本（2005）. 卫星单圈单弧段观测数据误差估计. 《中国空间科学技术(中英文)》.
446. 李乃成，靖稳峰，徐宗本（2005）. 虚拟企业管理中的伙伴选择问题:模型与理论分析. 《运筹学学报(中英文)》.
447. 徐宗本，李伟华 徐宗本 范金城（2004）. 单变量Bayes正态动态线性模型及其预测. 《统计与信息论坛》, Vol. 19, No. 3.下载原文
448. 冯祖洪，徐宗本（2004）. WPERF+:一种有效的分布式查询处理优化算法. 《工程数学学报》.
449. 朱传喜，徐宗本（2004）. 关于随机定点1-集压缩算子. 《西安交通大学学报》.
450. 王利生，徐宗本（2004）. 偏微分方程在生物医学图像分析中的应用. 《工程数学学报》.
451. 朱传喜，徐宗本（2004）. Hilbert空间中的一类随机算子方程. 《数学学报(中文版)》.
452. 魏广生，徐宗本（2004）. 奇型Sturm-Liouville微分算子的极大增生扩张. 《数学年刊A辑(中文版)》.
453. 魏广生，徐宗本（2004）. 奇型Sturm-Liouville微分算子的限界自伴扩张. 《数学学报(中文版)》.
454. 吴伟志，张文修，徐宗本（2004）. 粗糙模糊集的构造与公理化方法. 《计算机学报》.
455. 孙平，徐宗本，申建中（2004）. 基于核化原理的非线性典型相关判别分析. 《计算机学报》.
456. 徐宗本（2004）. 计算智能. 第一册, 模拟进化计算. 《高等教育出版社》.
457. 曹飞龙，徐宗本（2004）. 神经网络的本质逼近阶. 《中国科学:技术科学》.
458. Jigen Peng, Zongben Xu (2004). A novel dual approach to nonlinear semigroups of Lipschitz operators. Transactions of the American Mathematical Society.DOI
459. Zongben Xu (2004). WPERF+:An Efficient Optimization Algorithm for Distributed Query. Gongcheng shuxue xuebao.
460. 李有梅，彭济根，徐宗本（2003）. 求解有界约束二次规划问题神经网络模型的收敛性分析. 《系统工程理论与实践》, Vol. 23, No. 9.下载原文
461. 曹怀信，徐宗本（2003）. Lipschitz-α算子的M-谱理论. 《数学学报(中文版)》.
462. 曹飞龙，徐宗本（2003）. 单纯形上的Stancu多项式与最佳多项式逼近. 《数学学报(中文版)》.
463. 褚蕾蕾，徐宗本（2003）. 基于多重数据库的模型表示与拓扑性质. 《工程数学学报》.
464. 董天信，姜玉英，徐宗本（2003）. 多重最小成分的神经网络算法及其在曲线拟合中的应用. 《西安交通大学学报》.
465. 褚蕾蕾，徐宗本（2003）. 一种研究组件引用语义的动力系统方法. 《西安交通大学学报》.
466. 张璞，曹飞龙，徐宗本（2003）. Orlicz空间中的多元光滑模及其应用(英文). 《数学进展》.
467. 李有梅，徐宗本，苗夺谦（2003）. 用神经网络启发式算法求解最大独立集问题. 《模式识别与人工智能》.
468. 徐宗本（2003）. 计算智能中的仿生学. 《科学出版社》.
469. 朱传喜，徐宗本（2003）. 随机非线性方程的几个问题(英文). 《应用泛函分析学报》.
470. 李有梅，徐宗本，孙建永（2003）. 一类求解最大独立集问题的混合神经演化算法. 《计算机学报》.
471. 曹飞龙，徐宗本，梁吉业（2003）. 多项式函数的神经网络逼近:网络的构造与逼近算法. 《计算机学报》.
472. Jigen Peng, Zongben Xu (2003). An Estimate of Growth Bound of Positive C0-Semigroup on Lp Space and its Applications. Integral Equations and Operator Theory.DOI
473. Zongben Xu, Kwong‐Sak Leung, Yong Qi Liang, Yee Leung (2003). Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs. Applied Mathematics and Computation.DOI
474. 张文修，徐宗本（2002）. 知识系统与认知分析. 《系统工程理论与实践》, Vol. 22, No. 10.下载原文
475. 曹怀信，徐宗本（2002）. 非线性Lipschitz-α算子的若干性质. 《数学学报(中文版)》.
476. 吴可法，梁怡，徐宗本，马俊玲，武军伟（2002）. 关于加权全最小一乘的探讨. 《应用数学学报》.
477. 彭济根，徐宗本（2002）. 非线性Lipschitz算子的Lipschitz对偶算子及其应用. 《数学学报(中文版)》.
478. 彭济根，徐宗本（2002）. 非线性Lipschitz算子半群的渐近性质及其应用. 《数学学报(中文版)》.
479. 李有梅，王文剑，徐宗本（2002）. 关于求解难组合优化问题的蚁群优化算法. 《计算机科学》.
480. 徐宗本，聂赞坎，张文修（2002）. 父代种群参与竞争遗传算法几乎必然收敛. 《应用数学学报》.
481. 马江洪，张文修，徐宗本（2002）. 数据挖掘与数据库知识发现:统计学的观点. 《工程数学学报》.
482. 冯祖洪，徐宗本（2002）. 用混合型蚂蚁群算法求解TSP问题. 《工程数学学报》.
483. 李有梅，孙建永，徐宗本（2002）. 广义离散神经网络模型及启发式算法. 《西安交通大学学报》.
484. 陈红斌，徐宗本（2002）. Duffing方程的唯三周期解问题. 《数学年刊A辑(中文版)》.
485. 王宏勇，徐宗本，陈刚（2002）. 基于Lip-型分形插值函数构造正交多分辨分析. 《数学物理学报》.
486. Zhongyu Chen, Zongben Xu (2002). Stability analysis on a class of nonlinear continuous neural networks.DOI
487. Kwong‐Sak Leung, Jianyong Sun, Zongben Xu (2002). Efficiency speed‐up strategies for evolutionary computation: an adaptive implementation. Engineering Computations.DOI
488. 梁吉业，曲开社，徐宗本（2001）. 信息系统的属性约简. 《系统工程理论与实践》, Vol. 21, No. 12.下载原文
489. 王宏勇，梁勇，徐宗本（2001）. 基于一类新的胞腔排除遗传算法求解迭代函数系逆问题. 《高校应用数学学报A辑》.
490. 张璞，曹飞龙，徐宗本（2001）. Baskakov算子线性组合的点态估计(英文). 《应用数学》.
491. 曹飞龙，徐宗本（2001）. 多元Bernstein多项式加权逼近的Steckin-Marchaud型不等式. 《数学物理学报》.
492. 曹飞龙，杨汝月，徐宗本（2001）. 多元Bernstein算子的导数与函数的光滑性. 《应用数学学报》.
493. 申建中，徐宗本（2001）. 时变人口系统的适定性及关于生育率的最优控制. 《系统科学与数学》.
494. 张文修，徐宗本，聂赞坎，梁怡（2001）. 遗传算法的概率收敛定理. 《工程数学学报》.
495. 徐宗本，聂赞坎，张文修（2001）. 关于遗传算法公理化模型的进一步结果. 《工程数学学报》.
496. 卓新建，章祥荪，徐宗本（2001）. 关于Hopfield-型神经网络收敛性和求能量函数极小解的可靠性的研究. 《系统科学与数学》.
497. Kwong‐Sak Leung, Qihong Duan, Zongben Xu, C.K. Wong (2001). A new model of simulated evolutionary computation-convergence analysis and specifications. IEEE Transactions on Evolutionary Computation.DOI
498. 程国胜，徐宗本（2000）. 一种代数杂交算子搜索能力的注记. 《应用数学》.
499. 张讲社，徐宗本（2000）. 基于视觉系统的聚类:原理与算法. 《工程数学学报》.
500. 孙建永，申建中，徐宗本（2000）. 一类自适应遗传算法. 《西安交通大学学报》.
501. 孙建永，申建中，徐宗本（2000）. 一类自适应遗传算法的理论分析与数值模拟. 《西安交通大学学报》.
502. 张建华，徐宗本（2000）. 导子的范数估计. 《数学学报(中文版)》.
503. 魏广生，徐宗本（2000）. 奇型微分算子极大增生性的解析刻画. 《数学学报(中文版)》.
504. 徐宗本，陈志平，章祥荪（2000）. 遗传算法基础理论研究的新近发展. 《数学进展》.
505. 徐宗本，程国胜，梁勇（1999）. 一种代数杂交算子的搜索能力分析. 《西安交通大学学报》.
506. 程国胜，徐宗本（1999）. 包含度族的一些性质. 《模糊系统与数学》.
507. 王利生，徐宗本（1999）. Cm空间中非线性Lipschitz连续算子的定量性质. 《数学学报(中文版)》.
508. 彭济根，徐宗本（1999）. Banach空间的Lipschitz对偶及其应用. 《数学学报(中文版)》.
509. Zongben Xu, Jiangshe Zhang, Yiu-Wing Leung (1998). An approximate algorithm for computing multidimensional convex hulls. Applied Mathematics and Computation.DOI
510. Yiu-Wing Leung, Jiangshe Zhang, Zongben Xu (1998). Optimal neural network algorithm for on-line string matching. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).DOI
511. 彭济根，徐宗本（1997）. 关于非线性Lipschitz算子的Sderlind猜想. 《数学学报(中文版)》.
512. 蒋耀林，徐宗本（1997）. 非线性拟自治发展方程解的收敛特征. 《数学年刊A辑(中文版)》.
513. Zongben Xu, Jiangshe Zhang, Yiu-Wing Leung (1997). A general CDC formulation for specializing the cell exclusion algorithms of finding all zeros of vector functions. Applied Mathematics and Computation.DOI
514. Jiangshe Zhang, Zongben Xu, Yee Leung (1997). Global annealing genetic algorithm and its convergence analysis. Science China Technological Sciences.DOI
515. Yee Leung, Yong Chao Gao, Zongben Xu (1997). Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. IEEE Transactions on Neural Networks.DOI
516. 王利生，徐宗本（1996）. 非线性Lipschitz连续算子的定量性质（Ⅱ）——glb┐Dahlquist数. 《西安交通大学学报》.
517. Zongben Xu, Jiangshe Zhang, Wei Wang (1996). A cell exclusion algorithm for determining all the solutions of a nonlinear system of equations. Applied Mathematics and Computation.DOI
518. Zongben Xu, Hu Guoqing, C.P. Kwong (1996). Asymmetric Hopfield-type networks: Theory and applications. Neural Networks.DOI
519. Zongben Xu, Guo-Qing Hu, C.P. Kwong (1996). Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks. IEEE Transactions on Neural Networks.DOI
520. 徐宗本，蒋耀林（1995）. 非线性发展方程解的渐近性的构造过程. 《应用数学》.
521. 彭宏，徐宗本，游兆永（1995）. 关于单调Brown方法的进一步研究. 《应用数学》.
522. Xiang-Wei He, C.P. Kwong, Zongben Xu (1995). A competitive associative memory model and its dynamics. IEEE Transactions on Neural Networks.DOI
523. Zongben Xu, Yao‐Lin Jiang, Gary F. Roach (1995). A further necessary and sufficient condition for strong convergence of nonlinear contraction semigroups and of iterative methods for accretive operators in Banach spaces. Proceedings of the Edinburgh Mathematical Society.DOI
524. 徐宗本，张茁生（1994）. Lp空间的另一组特征不等式. 《数学学报(中文版)》.
525. Zongben Xu, You Zhaoyong (1994). Sign matrix, regular splittings and monotonic enclosure of solutions for nonlinear system of equations, part II. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao.DOI
526. Zongben Xu, Yee Leung, Xiang-Wei He (1994). Asymmetric bidirectional associative memories. IEEE Transactions on Systems Man and Cybernetics.DOI
527. Zongben Xu, Xingzhong Shi (1994). An optimal ball algorithm for fixed point equations. International Journal of Computer Mathematics.DOI
528. 彭宏，徐宗本，游兆永（1993）. 分裂型单调迭代方法在非线性抛物型微分方程组初边值问题的应用. 《高等学校计算数学学报》.
529. 王利生，徐宗本（1993）. 非线性算子的Dahlquist数及增生性. 《西安交通大学学报》.
530. 凌永祥，徐宗本（1992）. 关于非线性方程的单调Steffensen型迭代法. 《西安交通大学学报》.
531. 徐宗本，游兆永 (1992). SIGN MATRIX, REGULAR SPLITTINGS AND MONOTONIC ENCLOSURE OF SOLUTIONS FOR NONLINEAR SYSTEM OF EQUATIONS, PARTI. 《高校应用数学学报A辑》.
532. Zongben Xu, Gary F. Roach (1992). A necessary and sufficient condition for convergence of steepest descent approximation to accretive operator equations. Journal of Mathematical Analysis and Applications.DOI
533. Zongben Xu, Xingzhong Shi (1992). A comparison of point and ball iterations in the contractive mapping case. Computing.DOI
534. 游兆永，徐宗本，蒋耀林（1991）. 关于精确区域收缩算法的进一步讨论. 《高等学校计算数学学报》.
535. 游兆永，徐宗本，蒋耀林（1991）. 非精确区域收缩算法理论. 《工程数学学报》.
536. 徐宗本，张讲社（1991）. N维点集凸包的计算机生成原理与方法. 《高校应用数学学报A辑》.
537. You Zhaoyong, Zongben Xu (1991). Ball algorithms for constructing solutions of nonlinear operator equations. Journal of Computational and Applied Mathematics.DOI
538. Zongben Xu, Gary F. Roach (1991). Characteristic inequalities of uniformly convex and uniformly smooth Banach spaces. Journal of Mathematical Analysis and Applications.DOI
539. 游兆永，徐宗本（1990）. 构造非线性极大单调映象方程极小范数解的广义预解式迭代过程. 《工程数学学报》.
540. 张茁生，徐宗本（1989）. 一致平滑Banach空间的特征. 《工程数学学报》.
541. 徐宗本（1989）. Lp空间特征不等式及应用. 《数学学报(中文版)》.
542. 徐宗本（1989）. 松弛型迭代法对单调映象收敛的充要条件. 《计算数学》.
543. 游兆永，徐宗本（1989）. 非线性单调型算子方程的迭代方法(英文). 《工程数学学报》.
544. 张讲社，徐宗本（1989）. 拟变分不等式的迭代解法. 《工程数学学报》.
545. Zongben Xu (1989). A Computational Ball Test for the Existence of Solutions to Nonlinear Operator Equations. SIAM Journal on Numerical Analysis.DOI
546. Hong‐Kun Xu, Zongben Xu (1989). An Lp inequality and its applications to fixed point theory and approximation theory. Proceedings of the Royal Society of Edinburgh Section A Mathematics.DOI
547. 徐宗本，陈白丽（1988）. 一类非线性方程迭代法的有限终止法. 《西安交通大学学报》.
548. 游兆永，徐宗本，张讲社（1986）. 关于不动点算法中Rn剖分的几个问题. 《高校应用数学学报A辑》.
549. You Zhaoyong, Zongben Xu, Kunkun Liu (1986). Generalized theory and some specializations of the Region Contraction Algorithm I — Ball operation. Lecture notes in computer science.DOI
550. 游兆永，徐宗本（1985）. 一类非线性映象不动点与变分不等式解的遍历收敛性. 《西安交通大学学报》.
551. 游兆永，徐宗本（1984）. Ishikawa迭代法的收敛性及其与Mann迭代法的比较. 《工程数学学报》.
552. 游兆永，徐宗本，刘昆昆（1984）. 构造拟强单调算子方程解的区域收缩算法. 《工程数学学报》.
553. 游兆永，徐宗本（1982）. 构造Banach空间上非线性方程解的预解式迭代过程. 《西安交通大学学报》.

预印本

1. Shusen Yang, Fangyuan Zhao, Zihao Zhou, Liang Shi, Xuebin Ren, Zongben Xu (2024). Review of Mathematical Optimization in Federated Learning. arXiv (Cornell University).DOI
2. Xunmeng Wu, Zai Yang, Zongben Xu (2024). Low-Complexity Algorithms for Multichannel Spectral Super-Resolution. arXiv (Cornell University).DOI
3. Qihong Duan, jiang xue, Zongben Xu (2023). Modulation and Demodulation Coding Scheme of Signals with Peak of Power Constraint.DOI
4. Jinshan Zeng, Zhimin Peng, Shao-Bo Lin, Zongben Xu (2014). A Cyclic Coordinate Descent Algorithm for lq Regularization. arXiv (Cornell University).DOI
5. Fenghui Wang, Zongben Xu, Hong‐Kun Xu (2014). Convergence of Bregman alternating direction method with multipliers for nonconvex composite problems. arXiv (Cornell University).DOI

书籍章节

1. Yong Chao Gao, Zongben Xu, Li Guo (1999). Theoretical Analyses, New Algorithms, and Some Applications of Genetic Algorithms: A Review of Some Recent Work. Springer eBooks.DOI