Lin, Zhouchen

162 publications

ICML 2025 Active Treatment Effect Estimation via Limited Samples Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin

NeurIPS 2025 AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning Jingjing Zheng, Wanglong Lu, Yiming Dong, Chaojie Ji, Yankai Cao, Zhouchen Lin

ICLR 2025 Affine Steerable Equivariant Layer for Canonicalization of Neural Networks Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin

IJCAI 2025 Empowering LLMs with Logical Reasoning: A Comprehensive Survey Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin

ICML 2025 Explicit Discovery of Nonlinear Symmetries from Dynamic Data Lexiang Hu, Yikang Li, Zhouchen Lin

JMLR 2025 High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces Shihao Shao, Yikang Li, Zhouchen Lin, Qinghua Cui

NeurIPS 2025 Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin

ICML 2025 Incorporating Arbitrary Matrix Group Equivariance into KANs Lexiang Hu, Yisen Wang, Zhouchen Lin

NeurIPS 2025 Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision Hao Wang, Zhengnan Li, Zhichao Chen, Xu Chen, Shuting He, Guangyi Liu, Haoxuan Li, Zhouchen Lin

NeurIPS 2025 Language Ranker: A Lightweight Ranking Framework for LLM Decoding Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin

ICML 2025 Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin

NeurIPS 2025 MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios Yang Shi, Huanqian Wang, Wulin Xie, Huanyao Zhang, Lijie Zhao, YiFan Zhang, Xinfeng Li, Chaoyou Fu, Zhuoer Wen, Wenting Liu, Zhuoran Zhang, Xinlong Chen, Bohan Zeng, Sihan Yang, Yushuo Guan, Zhang Zhang, Liang Wang, Haoxuan Li, Zhouchen Lin, Yuanxing Zhang, Pengfei Wan, Haotian Wang, Wenjing Yang

ICLR 2025 Number Cookbook: Number Understanding of Language Models and How to Improve It Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang

NeurIPS 2025 On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm Huan Li, Yiming Dong, Zhouchen Lin

JMLR 2025 On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by L_1 Norm Huan Li, Yiming Dong, Zhouchen Lin

NeurIPS 2025 PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs Hanzhen Zhao, Shihong Ding, Cong Fang, Zhouchen Lin

NeurIPS 2025 Projective Equivariant Networks via Second-Order Fundamental Differential Invariants Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Lexiang Hu, Zhouchen Lin

NeurIPS 2025 PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin

ICLR 2025 Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin

ICLR 2025 SEPARATE: A Simple Low-Rank Projection for Gradient Compression in Modern Large-Scale Model Training Process Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin

NeurIPS 2025 Stepsize Anything: A Unified Learning Rate Schedule for Budgeted-Iteration Training Anda Tang, Yiming Dong, Yutao Zeng, Zhou Xun, Zhouchen Lin

ICLR 2025 TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice Shen Yan, Xingyan Bin, Sijun Zhang, Yisen Wang, Zhouchen Lin

NeurIPS 2025 Time-O1: Time-Series Forecasting Needs Transformed Label Alignment Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin

ICML 2025 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

ICLRW 2025 VACT: A Video Automatic Causal Testing System and a Benchmark Haotong Yang, Qingyuan Zheng, Yunjian Gao, Yongkun Yang, Yangbo He, Zhouchen Lin, Muhan Zhang

JMLR 2024 Accelerated Gradient Tracking over Time-Varying Graphs for Decentralized Optimization Huan Li, Zhouchen Lin

CVPR 2024 Affine Equivariant Networks Based on Differential Invariants Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Zhouchen Lin

ICLR 2024 Hebbian Learning Based Orthogonal Projection for Continual Learning of Spiking Neural Networks Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

AAAI 2024 LION: Implicit Vision Prompt Tuning Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian

JMLR 2024 PAPAL: A Provable PArticle-Based Primal-Dual ALgorithm for Mixed Nash Equilibrium Shihong Ding, Hanze Dong, Cong Fang, Zhouchen Lin, Tong Zhang

ICML 2024 Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu

NeurIPS 2024 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics Zhoutong Wu, Yimu Zhang, Cong Fang, Zhouchen Lin

ICML 2024 Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin

JMLR 2024 Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan

ICLR 2023 A Message Passing Perspective on Learning Dynamics of Contrastive Learning Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang

NeurIPS 2023 A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin

NeurIPS 2023 Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang

NeurIPS 2023 GEQ: Gaussian Kernel Inspired Equilibrium Models Mingjie Li, Yisen Wang, Zhouchen Lin

AISTATS 2023 Global Convergence of Over-Parameterized Deep Equilibrium Models Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin

IJCAI 2023 KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu

ICLR 2023 Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip Torr, Dacheng Tao

ICLR 2023 Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin

COLT 2023 On the Lower Bound of Minimizing Polyak-Łojasiewicz Functions Pengyun Yue, Cong Fang, Zhouchen Lin

ACML 2023 Patch-Level Neighborhood Interpolation: A General and Effective Graph-Based Regularization Strategy Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu

JMLR 2023 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity Huan Li, Zhouchen Lin

NeurIPS 2023 Task-Robust Pre-Training for Worst-Case Downstream Adaptation Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin

ICCV 2023 Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

NeurIPSW 2023 Transformer-Based Large Language Models Are Not General Learners: A Universal Circuit Perspective Yang Chen, Yitao Liang, Zhouchen Lin

ICLR 2023 Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin

COLT 2023 Zeroth-Order Optimization with Weak Dimension Dependency Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin

ICLR 2022 A Unified Contrastive Energy-Based Model for Understanding the Generative Ability of Adversarial Training Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

NeurIPSW 2022 Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

ICML 2022 CerDEQ: Certifiable Deep Equilibrium Model Mingjie Li, Yisen Wang, Zhouchen Lin

ICLR 2022 Chaos Is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

ICML 2022 G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin

NeurIPS 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao

ICML 2022 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu, Zhouchen Lin

NeurIPS 2022 Online Training Through Time for Spiking Neural Networks Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

ICLR 2022 Optimization Inspired Multi-Branch Equilibrium Models Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin

ICML 2022 Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

ICML 2022 PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin

ICML 2022 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity Huan Li, Zhouchen Lin

NeurIPS 2022 Rethinking Knowledge Graph Evaluation Under the Open-World Assumption Haotong Yang, Zhouchen Lin, Muhan Zhang

NeurIPS 2022 Towards Theoretically Inspired Neural Initialization Optimization Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin

CVPR 2022 Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

JMLR 2022 Under-Bagging Nearest Neighbors for Imbalanced Classification Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin

JMLR 2022 Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization Huan Li, Zhouchen Lin, Yongchun Fang

ICLR 2021 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun, Zhanxing Zhu, Zhouchen Lin

ICMLW 2021 Demystifying Adversarial Training via a Unified Probabilistic Framework Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

NeurIPS 2021 Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

NeurIPS 2021 Efficient Equivariant Network Lingshen He, Yuxuan Chen, Zhengyang Shen, Yiming Dong, Yisen Wang, Zhouchen Lin

ICML 2021 GBHT: Gradient Boosting Histogram Transform for Density Estimation Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin

NeurIPS 2021 Gauge Equivariant Transformer Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin

ICCV 2021 Graph Contrastive Clustering Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua

JMLR 2021 Histogram Transform Ensembles for Large-Scale Regression Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen

ICLR 2021 Is Attention Better than Matrix Decomposition? Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin

AAAI 2021 Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin

ICML 2021 Leveraged Weighted Loss for Partial Label Learning Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin

NeurIPS 2021 On Training Implicit Models Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin

AAAI 2021 PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma

CVPR 2021 PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin

ECML-PKDD 2021 Reparameterized Sampling for Generative Adversarial Networks Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

NeurIPS 2021 Residual Relaxation for Multi-View Representation Learning Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin

MLJ 2021 Tensor Q-Rank: New Data Dependent Definition of Tensor Rank Hao Kong, Canyi Lu, Zhouchen Lin

CVPR 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

NeurIPS 2021 Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

ICML 2021 Uncertainty Principles of Encoding GANs Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha

ICML 2020 Boosted Histogram Transform for Regression Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin

AAAI 2020 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin

NeurIPS 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin

ICML 2020 Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability Mingjie Li, Lingshen He, Zhouchen Lin

ECCV 2020 Improving Semantic Segmentation via Decoupled Body and Edge Supervision Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong

ECCV 2020 Invertible Image Rescaling Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu

ICML 2020 Maximum-and-Concatenation Networks Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin

AAAI 2020 Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes Ke Sun, Zhouchen Lin, Zhanxing Zhu

JMLR 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent Huan Li, Zhouchen Lin

ICML 2020 PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma

MLJ 2020 Provable Accelerated Gradient Method for Nonconvex Low Rank Optimization Huan Li, Zhouchen Lin

AAAI 2020 SOGNet: Scene Overlap Graph Network for Panoptic Segmentation Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin

AAAI 2020 Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild Yueying Kao, Weiming Li, Qiang Wang, Zhouchen Lin, Wooshik Kim, Sunghoon Hong

AAAI 2020 Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha

ICML 2019 Differentiable Linearized ADMM Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin

AAAI 2019 Lifted Proximal Operator Machines Jia Li, Cong Fang, Zhouchen Lin

COLT 2019 Sharp Analysis for Nonconvex SGD Escaping from Saddle Points Cong Fang, Zhouchen Lin, Tong Zhang

ICLR 2018 Alternating Multi-Bit Quantization for Recurrent Neural Networks Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha

ACML 2018 Construction of Incoherent Dictionaries via Direct Babel Function Minimization Huan Li, Zhouchen Lin

IJCAI 2018 Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

NeurIPS 2018 Joint Sub-Bands Learning with Clique Structures for Wavelet Domain Super-Resolution Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang

AAAI 2018 Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

ACML 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin

ECCV 2018 Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha

NeurIPS 2018 SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang

AAAI 2017 A Unified Convex Surrogate for the Schatten-P Norm Chen Xu, Zhouchen Lin, Hongbin Zha

AAAI 2017 Fast Compressive Phase Retrieval Under Bounded Noise Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu

NeurIPS 2017 Faster and Non-Ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers Cong Fang, Feng Cheng, Zhouchen Lin

AAAI 2017 Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization Cong Fang, Zhouchen Lin

IJCAI 2017 ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery Xiaojie Guo, Zhouchen Lin

AAAI 2016 Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan

AAAI 2016 Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha

ECCV 2016 Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks Li Shen, Zhouchen Lin, Qingming Huang

CVPR 2016 Robust Kernel Estimation with Outliers Handling for Image Deblurring Jinshan Pan, Zhouchen Lin, Zhixun Su, Ming-Hsuan Yang

CVPR 2016 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

CVPR 2015 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang

NeurIPS 2015 Accelerated Proximal Gradient Methods for Nonconvex Programming Huan Li, Zhouchen Lin

IJCAI 2015 Adaptive Sharing for Image Classification Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, Enhua Wu

AAAI 2015 Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang

AAAI 2015 Generalized Singular Value Thresholding Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin

ICCV 2015 Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo

MLJ 2015 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning Zhouchen Lin, Risheng Liu, Huan Li

CVPR 2015 Subspace Clustering by Mixture of Gaussian Regression Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu

CVPR 2014 Adaptive Partial Differential Equation Learning for Visual Saliency Detection Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan

CVPR 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin

AAAI 2014 Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan

CVPR 2014 Robust Estimation of 3D Human Poses from a Single Image Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao

CVPRW 2014 Robust Low-Rank Regularized Regression for Face Recognition with Occlusion Jianjun Qian, Jian Yang, Fanglong Zhang, Zhouchen Lin

CVPR 2014 Robust Subspace Segmentation with Block-Diagonal Prior Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan

CVPR 2014 Smooth Representation Clustering Han Hu, Zhouchen Lin, Jianjiang Feng, Jie Zhou

ECML-PKDD 2013 A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank Hongyang Zhang, Zhouchen Lin, Chao Zhang

ICCV 2013 Correlation Adaptive Subspace Segmentation by Trace Lasso Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

ICCV 2013 Correntropy Induced L2 Graph for Robust Subspace Clustering Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin

ACML 2013 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning Risheng Liu, Zhouchen Lin, Zhixun Su

CVPR 2012 Fixed-Rank Representation for Unsupervised Visual Learning Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su

CVPR 2012 Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu

NeurIPS 2011 Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation Zhouchen Lin, Risheng Liu, Zhixun Su

ECCV 2010 Emotion Recognition from Arbitrary View Facial Images Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang

ECCV 2010 Learning PDEs for Image Restoration via Optimal Control Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su

ICML 2010 Robust Subspace Segmentation by Low-Rank Representation Guangcan Liu, Zhouchen Lin, Yong Yu

CVPR 2010 The Multiscale Competitive Code via Sparse Representation for Palmprint Verification Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, David Zhang

ICCV 2009 A Novel Approach to Expression Recognition from Non-Frontal Face Images Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang

NeurIPS 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification Wenming Zheng, Zhouchen Lin

CVPR 2008 Classification via Semi-Riemannian Spaces Deli Zhao, Zhouchen Lin, Xiaoou Tang

NeurIPS 2007 Classification via Minimum Incremental Coding Length (MICL) John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-yeung Shum

ICCV 2007 Contextual Distance for Data Perception Deli Zhao, Zhouchen Lin, Xiaoou Tang

ICCV 2007 Laplacian PCA and Its Applications Deli Zhao, Zhouchen Lin, Xiaoou Tang

ICCV 2007 Limits of Learning-Based Superresolution Algorithms Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung Tang

CVPR 2007 Linear Laplacian Discrimination for Feature Extraction Deli Zhao, Zhouchen Lin, Rong Xiao, Xiaoou Tang

ICCV 2007 Penrose Pixels Super-Resolution in the Detector Layout Domain Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn

ECCV 2006 Detecting Doctored JPEG Images via DCT Coefficient Analysis Junfeng He, Zhouchen Lin, Lifeng Wang, Xiaoou Tang

CVPR 2005 Detecting Doctored Images Using Camera Response Normality and Consistency Zhouchen Lin, Rongrong Wang, Xiaoou Tang, Heung-Yeung Shum

CVPR 2001 On the Fundamental Limits of Reconstruction-Based Super-Resolution Algorithms Zhouchen Lin, Heung-Yeung Shum

CVPR 2001 Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum

CVPR 2000 On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption Zhouchen Lin, Heung-Yeung Shum