Zhang, Changshui

87 publications

ICML 2025 Adaptive Localization of Knowledge Negation for Continual LLM Unlearning Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui, Wutong Xu, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang

ICML 2025 CALM: Consensus-Aware Localized Merging for Multi-Task Learning Kunda Yan, Min Zhang, Sen Cui, Qu Zikun, Bo Jiang, Feng Liu, Changshui Zhang

ICML 2025 Learning Without Isolation: Pathway Protection for Continual Learning Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren

ICLR 2024 Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama

ICML 2024 Balancing Similarity and Complementarity for Federated Learning Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang

ICLR 2024 CLAP: Collaborative Adaptation for Patchwork Learning Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang

NeurIPS 2024 Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang

AAAI 2023 Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao

CVPR 2022 GreedyNASv2: Greedier Search with a Greedy Path Filter Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

NeurIPS 2022 Synergy-of-Experts: Collaborate to Improve Adversarial Robustness Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang

ECCV 2022 ViTAS: Vision Transformer Architecture Search Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

NeurIPS 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang

CVPR 2021 BCNet: Searching for Network Width with Bilaterally Coupled Network Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

ICML 2021 K-Shot NAS: Learnable Weight-Sharing for NAS with K-Shot Supernets Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

CVPR 2021 Learning a Proposal Classifier for Multiple Object Tracking Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding

ICCV 2021 Learning with Privileged Tasks Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang

ICLR 2021 Locally Free Weight Sharing for Network Width Search Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

ICLR 2021 Policy-Driven Attack: Learning to Query for Hard-Label Black-Box Adversarial Examples Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang

CVPR 2021 Prioritized Architecture Sampling with Monto-Carlo Tree Search Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

NeurIPS 2021 ReSSL: Relational Self-Supervised Learning with Weak Augmentation Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

ICCV 2021 Weakly Supervised Contrastive Learning Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

NeurIPS 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, Changshui Zhang

AAAI 2020 RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang

AAAI 2020 Reborn Filters: Pruning Convolutional Neural Networks with Limited Data Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang

ICML 2020 Semismooth Newton Algorithm for Efficient Projections onto $\ell_1, ∞$-Norm Ball Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao

ICLR 2020 Sparse Coding with Gated Learned ISTA Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang

NeurIPS 2020 When Counterpoint Meets Chinese Folk Melodies Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang

NeurIPS 2019 Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-Box Attacks Yiwen Guo, Ziang Yan, Changshui Zhang

NeurIPS 2018 Connectionist Temporal Classification with Maximum Entropy Regularization Hu Liu, Sheng Jin, Changshui Zhang

NeurIPS 2018 Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan, Yiwen Guo, Changshui Zhang

NeurIPS 2018 Sparse DNNs with Improved Adversarial Robustness Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen

ICCV 2017 Learning Efficient Convolutional Networks Through Network Slimming Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang

CVPR 2017 Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization Runpeng Cui, Hu Liu, Changshui Zhang

UAI 2014 Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property Ming Lin, Rong Jin, Changshui Zhang

AISTATS 2014 Exploiting the Limits of Structure Learning via Inherent Symmetry Peng He, Changshui Zhang

AISTATS 2014 Non-Asymptotic Analysis of Relational Learning with One Network Peng He, Changshui Zhang

CVPR 2014 Seeing the Arrow of Time Lyndsey C. Pickup, Zheng Pan, Donglai Wei, YiChang Shih, Changshui Zhang, Andrew Zisserman, Bernhard Scholkopf, William T. Freeman

ICML 2013 A General Iterative Shrinkage and Thresholding Algorithm for Non-Convex Regularized Optimization Problems Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye

AISTATS 2013 High-Dimensional Inference via Lipschitz Sparsity-Yielding Regularizers Zheng Pan, Changshui Zhang

JMLR 2013 Multi-Stage Multi-Task Feature Learning Pinghua Gong, Jieping Ye, Changshui Zhang

AAAI 2012 Efficient Multi-Stage Conjugate Gradient for Trust Region Step Pinghua Gong, Changshui Zhang

IJCAI 2011 A Fast Dual Projected Newton Method for L1-Regularized Least Squares Pinghua Gong, Changshui Zhang

ALT 2010 Compressed Learning with Regular Concept Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang

AAAI 2010 Learning Discriminative Piecewise Linear Models with Boundary Points Kun Gai, Changshui Zhang

AAAI 2010 Multitask Bregman Clustering Jianwen Zhang, Changshui Zhang

AAAI 2010 What if the Irresponsible Teachers Are Dominating? Shuo Chen, Jianwen Zhang, Guangyun Chen, Changshui Zhang

CVPR 2009 Blind Separation of Superimposed Images with Unknown Motions Kun Gai, Zhenwei Shi, Changshui Zhang

CVPR 2009 Efficient Multi-Label Classification with Hypergraph Regularization Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao

IJCAI 2009 Knowledge Transfer on Hybrid Graph Zheng Wang, Yangqiu Song, Changshui Zhang

IJCAI 2009 On-Line Evolutionary Exponential Family Mixture Jianwen Zhang, Yangqiu Song, Gang Chen, Changshui Zhang

IJCAI 2009 Selecting Informative Universum Sample for Semi-Supervised Learning Shuo Chen, Changshui Zhang

IJCAI 2009 Semi-Supervised Classification on Evolutionary Data Yangqing Jia, Shuicheng Yan, Changshui Zhang

IJCAI 2009 Spectral Embedded Clustering Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang

CVPR 2009 Unsupervised Maximum Margin Feature Selection with Manifold Regularization Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang

CVPR 2008 Blindly Separating Mixtures of Multiple Layers with Spatial Shifts Kun Gai, Zhenwei Shi, Changshui Zhang

ECML-PKDD 2008 Distortion-Free Nonlinear Dimensionality Reduction Yangqing Jia, Zheng Wang, Changshui Zhang

ICML 2008 Efficient Multiclass Maximum Margin Clustering Bin Zhao, Fei Wang, Changshui Zhang

AAAI 2008 Instance-Level Semisupervised Multiple Instance Learning Yangqing Jia, Changshui Zhang

AAAI 2008 Multi-View Local Learning Dan Zhang, Fei Wang, Changshui Zhang, Tao Li

CVPR 2008 Normalized Tree Partitioning for Image Segmentation Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan

AAAI 2008 On Discriminative Semi-Supervised Classification Fei Wang, Changshui Zhang

AAAI 2008 Semi-Supervised Classification Using Local and Global Regularization Fei Wang, Tao Li, Gang Wang, Changshui Zhang

AAAI 2008 Trace Ratio Criterion for Feature Selection Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan

CVPR 2008 Transductive Object Cutout Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Changshui Zhang, Luc Van Gool, Xiaoou Tang

ECML-PKDD 2008 Transferred Dimensionality Reduction Zheng Wang, Yangqiu Song, Changshui Zhang

AAAI 2007 Clustering with Local and Global Regularization Fei Wang, Changshui Zhang, Tao Li

CVPR 2007 Discriminant Additive Tangent Spaces for Object Recognition Liang Xiong, Jianguo Li, Changshui Zhang

CVPR 2007 Feature Extraction by Maximizing the Average Neighborhood Margin Fei Wang, Changshui Zhang

IJCAI 2007 Generalized Additive Bayesian Network Classifiers Jianguo Li, Changshui Zhang, Tao Wang, Yimin Zhang

IJCAI 2007 Neighborhood MinMax Projections Feiping Nie, Shiming Xiang, Changshui Zhang

CVPR 2007 Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang

AISTATS 2007 Semi-Supervised Mean Fields Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther

CVPRW 2006 A Discriminative Method for Semi-Automated Tumorous Tissues Segmentation of MR Brain Images Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang

ICML 2006 Label Propagation Through Linear Neighborhoods Fei Wang, Changshui Zhang

CVPR 2006 Semi-Supervised Classification Using Linear Neighborhood Propagation Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang

ECML-PKDD 2006 Spline Embedding for Nonlinear Dimensionality Reduction Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang

CVPR 2005 A Unified Optimization Based Learning Method for Image Retrieval Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang

ECML-PKDD 2005 Network Game and Boosting Shijun Wang, Changshui Zhang

ECML-PKDD 2004 Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu, Fei Xiao

ICML 2004 Probabilistic Tangent Subspace: A Unified View Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian

ECML-PKDD 2003 Clustering in Knowledge Embedded Space Yungang Zhang, Changshui Zhang, Shijun Wang

ECML-PKDD 2003 Color Image Segmentation: Kernel Do the Feature Space Jianguo Lee, Jingdong Wang, Changshui Zhang

ALT 2003 Kernel Trick Embedded Gaussian Mixture Model Jingdong Wang, Jianguo Lee, Changshui Zhang

ECCV 2002 Hierarchical Shape Modeling for Automatic Face Localization Ce Liu, Heung-Yeung Shum, Changshui Zhang

CVPR 2001 A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model Ce Liu, Heung-Yeung Shum, Changshui Zhang

CVPR 2001 Automated Cartridge Identification for Firearm Authentication Jie Zhou, Le-ping Xin, Dashan Gao, Changshui Zhang, David Zhang

CVPR 2000 A Novel Algorithm for Rotated Human Face Detection Xiao-guang Lv, Jie Zhou, Changshui Zhang