| 2026 | AAAI | G-IR: Geometric Image Representation for Learning. | Xin Chen, Qi Zhao, Wei Zeng, Zongben Xu |
| 2025 | ICASSP | Low-Complexity Algorithms for Multichannel Spectral Super-Resolution. | Xunmeng Wu, Zai Yang, Zongben Xu |
| 2025 | ICML | Improving Memory Efficiency for Training KANs via Meta Learning. | Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu |
| 2024 | GECCO | A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. | Haotian Zhang, Jialong Shi, Jianyong Sun, Ali Wagdy Mohamed, Zongben Xu |
| 2024 | MICCAI | Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI. | Xing Li, Yan Yang, Hairong Zheng, Zongben Xu |
| 2023 | ICASSP | Spectral Super-Resolution on the Unit Circle Via Gradient Descent. | Xunmeng Wu, Zai Yang, Jian-Feng Cai, Zongben Xu |
| 2023 | ICCV | Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. | Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu |
| 2022 | ECCV | KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. | Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu |
| 2022 | GECCO | Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. | Haotian Zhang, Jialong Shi, Jianyong Sun, Zongben Xu |
| 2022 | MOBICOM | SalientVR: saliency-driven mobile 360-degree video streaming with gaze information. | Shibo Wang, Shusen Yang, Hailiang Li, Xiaodan Zhang, Chen Zhou, Chenren Xu, Feng Qian, Nanbin Wang, Zongben Xu |
| 2022 | VTC | Unified Mathematical Framework for Intelligent Transceiver Design. | Feng Li, Gang Dai, Heng Du, Yiqing Zhang, Zhengyang Hu, Guanzhang Liu, Runhua Li, Jiang Xue, Zongben Xu |
| 2022 | SIGMOD | LDP-IDS: Local Differential Privacy for Infinite Data Streams. | Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang, Cong Zhao, Zongben Xu |
| 2021 | CEC | Learning to Mutate for Differential Evolution. | Haotian Zhang, Jianyong Sun, Zongben Xu |
| 2021 | CVPR | Training Networks in Null Space of Feature Covariance for Continual Learning. | Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu |
| 2021 | MICCAI | A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation. | Heran Yang, Jian Sun, Liwei Yang, Zongben Xu |
| 2020 | CEC | Adaptive Structural Hyper-Parameter Configuration by Q-Learning. | Haotian Zhang, Jianyong Sun, Zongben Xu |
| 2020 | CVPR | Spherical Space Domain Adaptation With Robust Pseudo-Label Loss. | Xiang Gu, Jian Sun, Zongben Xu |
| 2020 | ECCV | Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. | Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu |
| 2020 | MICCAI | Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image. | Yan Yang, Na Wang, Heran Yang, Jian Sun, Zongben Xu |
| 2020 | SIGIR | On Presuppositions of Machine Learning: A Meta Theory. | Zongben Xu |
| 2019 | AAAI | HyperAdam: A Learnable Task-Adaptive Adam for Network Training. | Shipeng Wang, Jian Sun, Zongben Xu |
| 2019 | CVPR | Semi-Supervised Transfer Learning for Image Rain Removal. | Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu |
| 2019 | CVPR | Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. | Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu |
| 2019 | IGARSS | Unsupervised PolSAR Image Factorization with Deep Convolutional Networks. | Haixia Bi, Feng Xu, Zhiqiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu |
| 2019 | IGARSS | An Active Deep Learning Approach for Minimally-Supervised Polsar Image Classification. | Haixia Bi, Feng Xu, Zhiqiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu |
| 2019 | MICCAI | A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging. | Nan Meng, Yan Yang, Zongben Xu, Jian Sun |
| 2018 | AAAI | Margin Based PU Learning. | Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin |
| 2018 | MICCAI | Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. | Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince |
| 2017 | ICCV | Should We Encode Rain Streaks in Video as Deterministic or Stochastic? | Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu |
| 2017 | IGARSS | Polsar image classification based on three-dimensional wavelet texture features and Markov random field. | Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu |
| 2016 | CEC | A multi-phase multiobjective approach based on decomposition for sparse reconstruction. | Hui Li, Yuanyuan Fan, Qingfu Zhang, Zongben Xu, Jingda Deng |
| 2016 | CVPR | Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. | Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang |
| 2016 | MICCAI | Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images. | Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu |
| 2015 | AAAI | Self-Paced Learning for Matrix Factorization. | Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann |
| 2015 | CVPR | Learning a convolutional neural network for non-uniform motion blur removal. | Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce |
| 2015 | ICCV | Low-Rank Matrix Factorization under General Mixture Noise Distributions. | Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu |
| 2015 | ICCV | A Novel Sparsity Measure for Tensor Recovery. | Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu |
| 2014 | CVPR | Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising. | Yi Peng, Deyu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang |
| 2014 | ICML | Robust Principal Component Analysis with Complex Noise. | Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang |
| 2013 | AAAI | A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries. | Deyu Meng, Zongben Xu, Lei Zhang, Ji Zhao |
| 2013 | ICDM | Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. | Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu |
| 2012 | IGARSS | SAR range ambiguity suppression via sparse regularization. | Jian Fang, Zongben Xu, Chenglong Jiang, Bingchen Zhang, Wen Hong |
| 2012 | PPSN | MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. | Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang |
| 2011 | ICCV | Video Primal Sketch: A generic middle-level representation of video. | Zhi Han, Zongben Xu, Song-Chun Zhu |
| 2011 | IGARSS | SAR imaging from compressed measurements based on L1/2 regularization. | Jinshan Zeng, Zongben Xu, Hai Jiang, Bingchen Zhang, Wen Hong, Yirong Wu |
| 2008 | CVPR | Image super-resolution using gradient profile prior. | Jian Sun, Zongben Xu, Heung-Yeung Shum |
| 2008 | ISNN | An Improvement to Ant Colony Optimization Heuristic. | Youmei Li, Zongben Xu, Feilong Cao |
| 2007 | CEC | Immunity diversity based multi-agent intrusion detection. | Yu Gu, Jiashu Zhao, Dong Liang, Zongben Xu |
| 2007 | CVPR | Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs. | Jian Sun, Jian Sun, Sing Bing Kang, Zongben Xu, Xiaoou Tang, Heung-Yeung Shum |
| 2007 | ISNN | Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding. | Yong Liang, Kwong-Sak Leung, Zongben Xu |
| 2007 | ISNN | New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings. | Chen Qiao, Zongben Xu |
| 2006 | ISNN | The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units. | Chunmei Ding, Feilong Cao, Zongben Xu |
| 2006 | ISNN | A New Pre-processing Method for Regression. | Wenfeng Jing, Deyu Meng, Ming-Wei Dai, Zongben Xu |
| 2006 | ISNN | Integral Transform and Its Application to Neural Network Approximation. | Feng-Jun Li, Zongben Xu |
| 2006 | ISNN | An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network. | Jian Sun, Zongben Xu |
| 2006 | ISNN | Approximation Bound of Mixture Networks in | Zongben Xu, Jianjun Wang, Deyu Meng |
| 2005 | CIS | A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization. | Rui Zhang, Zongben Xu |
| 2005 | ISNN | Pointwise Approximation for Neural Networks. | Feilong Cao, Zongben Xu, Youmei Li |
| 2005 | ISNN | Generalization and Property Analysis of GENET. | Youmei Li, Zongben Xu, Feilong Cao |
| 2005 | ISNN | A New Approach for Classification: Visual Simulation Point of View. | Zongben Xu, Deyu Meng, Wenfeng Jing |
| 2004 | ISNN | Approximation Bounds by Neural Networks in L | Jianjun Wang, Zongben Xu, Weijun Xu |