| 2026 | AAAI | FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. | Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin |
| 2026 | AAAI | Uplift Modeling with Delayed Feedback: Identifiability and Algorithms. | Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li, Zhouchen Lin |
| 2026 | ACL | MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning. | Xukai Wang, Xuanbo Liu, Mingrui Chen, Haitian Zhong, Xuanlin Yang, Bohan Zeng, Jinbo Hu, Hao Liang, Junbo Niu, Xuchen Li, Ruitao Wu, Ruichuan An, Yang Shi, Liu Liu, Qiang Liu, Zhouchen Lin, Xu-Yao Zhang, Wentao Zhang, Bin Dong |
| 2026 | SIGIR | Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function. | Xiang Li, Yanghao Xiao, Chunyuan Zheng, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin |
| 2026 | SIGIR | User Activity Modeling under Inflated Distribution. | Xiang Li, Zhao-Yu Zhang, Chunyuan Zheng, Qingying Chen, Huiyou Jiang, Haoxuan Li, Zhouchen Lin |
| 2026 | SIGIR | Debiased Recommendation Beyond the Positive Propensity Assumption. | Yanghao Xiao, Hao Wang, Xiang Li, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin |
| 2025 | ICIG | On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation. | Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu |
| 2025 | ICLR | Pyramidal Flow Matching for Efficient Video Generative Modeling. | Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin |
| 2025 | ICLR | Affine Steerable Equivariant Layer for Canonicalization of Neural Networks. | Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin |
| 2025 | ICLR | TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice. | Shen Yan, Xingyan Bin, Sijun Zhang, Yisen Wang, Zhouchen Lin |
| 2025 | ICLR | Number Cookbook: Number Understanding of Language Models and How to Improve It. | Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang |
| 2025 | ICLR | SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process. | Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin |
| 2025 | ICML | Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning. | Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin |
| 2025 | ICML | Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization. | Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin |
| 2025 | ICML | Incorporating Arbitrary Matrix Group Equivariance into KANs. | Lexiang Hu, Yisen Wang, Zhouchen Lin |
| 2025 | ICML | Explicit Discovery of Nonlinear Symmetries from Dynamic Data. | Lexiang Hu, Yikang Li, Zhouchen Lin |
| 2025 | ICML | Active Treatment Effect Estimation via Limited Samples. | Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin |
| 2025 | IJCAI | Empowering LLMs with Logical Reasoning: A Comprehensive Survey. | Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin |
| 2025 | KDD | Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation. | Hao Wang, Zhichao Chen, Zhaoran Liu, Xu Chen, Haoxuan Li, Zhouchen Lin |
| 2025 | SIGIR | AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing. | Yong Chen, Yuxiang Zhou, Hailiang Dong, Rui Liu, Zhouchen Lin, Dell Zhang |
| 2024 | AAAI | LION: Implicit Vision Prompt Tuning. | Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian |
| 2024 | CVPR | Affine Equivariant Networks Based on Differential Invariants. | Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Zhouchen Lin |
| 2024 | ECAI | MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling. | Xin Xu, Zhouchen Lin |
| 2024 | ICLR | Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. | Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin |
| 2024 | ICML | Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. | Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin |
| 2024 | ICML | Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective. | Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu |
| 2023 | ACML | Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. | Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu |
| 2023 | AISTATS | Global Convergence of Over-parameterized Deep Equilibrium Models. | Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin |
| 2023 | COLT | On the Lower Bound of Minimizing Polyak-Łojasiewicz functions. | Pengyun Yue, Cong Fang, Zhouchen Lin |
| 2023 | COLT | Zeroth-order Optimization with Weak Dimension Dependency. | Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin |
| 2023 | ICCV | Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. | Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo |
| 2023 | ICLR | A Message Passing Perspective on Learning Dynamics of Contrastive Learning. | Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang |
| 2023 | ICLR | Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks. | Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin |
| 2023 | ICLR | Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. | Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin |
| 2023 | ICLR | Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. | Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao |
| 2023 | IJCAI | KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. | Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu |
| 2023 | IJCNN | Gradient Descent Optimizes Normalization-Free ResNets. | Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin |
| 2022 | CIKM | Convolutional Transformer Networks for Epileptic Seizure Detection. | Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji |
| 2022 | CVPR | 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 |
| 2022 | ICLR | A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. | Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin |
| 2022 | ICLR | Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. | Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin |
| 2022 | ICLR | Optimization inspired Multi-Branch Equilibrium Models. | Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin |
| 2022 | ICML | 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 |
| 2022 | ICML | Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε | Huan Li, Zhouchen Lin |
| 2022 | ICML | Optimization-Induced Graph Implicit Nonlinear Diffusion. | Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin |
| 2022 | ICML | CerDEQ: Certifiable Deep Equilibrium Model. | Mingjie Li, Yisen Wang, Zhouchen Lin |
| 2022 | ICML | G | Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin |
| 2022 | ICML | PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs. | Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin |
| 2021 | AAAI | Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. | Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin |
| 2021 | AAAI | PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs. | Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. | Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin |
| 2021 | ICCV | Graph Contrastive Clustering. | Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua |
| 2021 | ICLR | Is Attention Better Than Matrix Decomposition? | Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin |
| 2021 | ICLR | AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. | Ke Sun, Zhanxing Zhu, Zhouchen Lin |
| 2021 | ICML | GBHT: Gradient Boosting Histogram Transform for Density Estimation. | Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin |
| 2021 | ICML | Uncertainty Principles of Encoding GANs. | Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha |
| 2021 | ICML | Leveraged Weighted Loss for Partial Label Learning. | Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin |
| 2021 | ICTAI | Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection. | Nan Ke, Tong Lin, Zhouchen Lin |
| 2021 | SIGIR | Long-Tail Hashing. | Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin, Dell Zhang |
| 2020 | AAAI | Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild. | Yueying Kao, Weiming Li, Qiang Wang, Zhouchen Lin, Wooshik Kim, Sunghoon Hong |
| 2020 | AAAI | Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. | Ke Sun, Zhouchen Lin, Zhanxing Zhu |
| 2020 | AAAI | Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. | Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha |
| 2020 | AAAI | SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. | Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin |
| 2020 | AAAI | Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. | Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin |
| 2020 | CVPR | Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. | Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu |
| 2020 | ECCV | 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 |
| 2020 | ECCV | Invertible Image Rescaling. | Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu |
| 2020 | ICML | Boosted Histogram Transform for Regression. | Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin |
| 2020 | ICML | Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. | Mingjie Li, Lingshen He, Zhouchen Lin |
| 2020 | ICML | PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. | Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma |
| 2020 | ICML | Maximum-and-Concatenation Networks. | Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin |
| 2019 | AAAI | Lifted Proximal Operator Machines. | Jia Li, Cong Fang, Zhouchen Lin |
| 2019 | COLT | Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. | Cong Fang, Zhouchen Lin, Tong Zhang |
| 2019 | CVPR | Self-Supervised Convolutional Subspace Clustering Network. | Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin |
| 2019 | ICCV | Expectation-Maximization Attention Networks for Semantic Segmentation. | Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu |
| 2019 | ICCV | Deep Comprehensive Correlation Mining for Image Clustering. | Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha |
| 2019 | ICML | Differentiable Linearized ADMM. | Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin |
| 2019 | MICCAI | R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal. | Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin |
| 2018 | AAAI | Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. | Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2018 | ACML | Construction of Incoherent Dictionaries via Direct Babel Function Minimization. | Huan Li, Zhouchen Lin |
| 2018 | ACML | Optimization Algorithm Inspired Deep Neural Network Structure Design. | Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin |
| 2018 | CIKM | Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2018 | CVPR | Convolutional Neural Networks With Alternately Updated Clique. | Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin |
| 2018 | ECCV | Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. | Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha |
| 2018 | ICLR | Alternating Multi-bit Quantization for Recurrent Neural Networks. | Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha |
| 2018 | IJCAI | Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. | Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2017 | AAAI | Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. | Cong Fang, Zhouchen Lin |
| 2017 | AAAI | A Unified Convex Surrogate for the Schatten- | Chen Xu, Zhouchen Lin, Hongbin Zha |
| 2017 | AAAI | Fast Compressive Phase Retrieval under Bounded Noise. | Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu |
| 2017 | DCC | Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation. | Xiang Zhang, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao |
| 2017 | IJCAI | ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery. | Xiaojie Guo, Zhouchen Lin |
| 2017 | IJCNN | Factorization for projective and metric reconstruction via truncated nuclear norm. | Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha |
| 2017 | SIGIR | Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2016 | AAAI | Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. | Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan |
| 2016 | AAAI | Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization. | Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha |
| 2016 | CVPR | 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 |
| 2016 | CVPR | Robust Kernel Estimation with Outliers Handling for Image Deblurring. | Jin-shan Pan, Zhouchen Lin, Zhixun Su, Ming-Hsuan Yang |
| 2016 | ECCV | Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks. | Li Shen, Zhouchen Lin, Qingming Huang |
| 2016 | ICMI | Multi-view common space learning for emotion recognition in the wild. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2016 | SIGIR | Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors. | Yuqing Hou, Zhouchen Lin, Jin-ge Yao |
| 2015 | AAAI | Generalized Singular Value Thresholding. | Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin |
| 2015 | AAAI | Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds. | Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang |
| 2015 | CVPR | A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm. | Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang |
| 2015 | CVPR | Subspace clustering by Mixture of Gaussian Regression. | Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu |
| 2015 | ICCV | Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning. | Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo |
| 2015 | ICMI | Multiple Models Fusion for Emotion Recognition in the Wild. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2015 | IJCAI | Adaptive Sharing for Image Classification. | Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, Enhua Wu |
| 2015 | ISIT | Determining step sizes in geometric optimization algorithms. | Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang |
| 2015 | VCIP | Image tag completion and refinement by subspace clustering and matrix completion. | Yuqing Hou, Zhouchen Lin |
| 2014 | AAAI | Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization. | Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan |
| 2014 | CVPR | Robust Subspace Segmentation with Block-Diagonal Prior. | Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan |
| 2014 | CVPR | Smooth Representation Clustering. | Han Hu, Zhouchen Lin, Jianjiang Feng, Jie Zhou |
| 2014 | CVPR | Adaptive Partial Differential Equation Learning for Visual Saliency Detection. | Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan |
| 2014 | CVPR | Generalized Nonconvex Nonsmooth Low-Rank Minimization. | Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin |
| 2014 | CVPR | Robust Low-Rank Regularized Regression for Face Recognition with Occlusion. | Jianjun Qian, Jian Yang, Fanglong Zhang, Zhouchen Lin |
| 2014 | CVPR | Robust Estimation of 3D Human Poses from a Single Image. | Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao |
| 2014 | ICIP | L1-norm global geometric consistency for partial-duplicate image retrieval. | Yang Lin, Chen Xu, Li Yang, Zhouchen Lin, Hongbin Zha |
| 2014 | IJCNN | Tensor LRR based subspace clustering. | Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin |
| 2014 | ICPR | Low Rank Global Geometric Consistency for Partial-Duplicate Image Search. | Li Yang, Yang Lin, Zhouchen Lin, Hongbin Zha |
| 2013 | ACML | Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. | Risheng Liu, Zhouchen Lin, Zhixun Su |
| 2013 | ICCV | Correlation Adaptive Subspace Segmentation by Trace Lasso. | Can-Yi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2013 | ICCV | Correntropy Induced L2 Graph for Robust Subspace Clustering. | Can-Yi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin |
| 2013 | ICDAR | Rectification of Optical Characters as Transform Invariant Low-Rank Textures. | Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma |
| 2012 | CVPR | Fixed-rank representation for unsupervised visual learning. | Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su |
| 2012 | CVPR | Non-negative low rank and sparse graph for semi-supervised learning. | Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu |
| 2012 | ICDM | Geodesic Based Semi-supervised Multi-manifold Feature Extraction. | Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao |
| 2010 | CVPR | The multiscale competitive code via sparse representation for palmprint verification. | Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, David Zhang |
| 2010 | DCC | Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources. | Jingjing Fu, Zhouchen Lin, Bing Zeng, Feng Wu |
| 2010 | ECCV | Learning PDEs for Image Restoration via Optimal Control. | Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su |
| 2010 | ECCV | Emotion Recognition from Arbitrary View Facial Images. | Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang |
| 2010 | ICML | Robust Subspace Segmentation by Low-Rank Representation. | Guangcan Liu, Zhouchen Lin, Yong Yu |
| 2009 | ACCV | Refined Exponential Filter with Applications to Image Restoration and Interpolation. | Yanlin Geng, Tong Lin, Zhouchen Lin, Pengwei Hao |
| 2009 | ACCV | Lorentzian Discriminant Projection and Its Applications. | Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou |
| 2009 | DCC | Analysis on Rate-Distortion Performance of Compressive Sensing for Binary Sparse Source. | Feng Wu, Jingjing Fu, Zhouchen Lin, Bing Zeng |
| 2009 | ICCV | A novel approach to expression recognition from non-frontal face images. | Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang |
| 2008 | CVPR | Classification via semi-Riemannian spaces. | Deli Zhao, Zhouchen Lin, Xiaoou Tang |
| 2007 | CVPR | Linear Laplacian Discrimination for Feature Extraction. | Deli Zhao, Zhouchen Lin, Rong Xiao, Xiaoou Tang |
| 2007 | ICCV | Penrose Pixels Super-Resolution in the Detector Layout Domain. | Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn |
| 2007 | ICCV | Limits of Learning-Based Superresolution Algorithms. | Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung Tang |
| 2007 | ICCV | Contextual Distance for Data Perception. | Deli Zhao, Zhouchen Lin, Xiaoou Tang |
| 2007 | ICCV | Laplacian PCA and Its Applications. | Deli Zhao, Zhouchen Lin, Xiaoou Tang |
| 2006 | ECCV | Detecting Doctored JPEG Images Via DCT Coefficient Analysis. | Junfeng He, Zhouchen Lin, Lifeng Wang, Xiaoou Tang |
| 2006 | SIGGRAPH | Real-time rendering of realistic rain. | Lifeng Wang, Zhouchen Lin, Tian Fang, Xu Yang, Xuan Yu, Sing Bing Kang |
| 2005 | CVPR | Detecting Doctored Images Using Camera Response Normality and Consistency. | Zhouchen Lin, Rongrong Wang, Xiaoou Tang, Heung-Yeung Shum |
| 2001 | CVPR | On the Fundamental Limits of Reconstruction-Based Super-Resolution Algorithms. | Zhouchen Lin, Heung-Yeung Shum |
| 2001 | CVPR | Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction. | Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum |
| 2000 | CVPR | On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption. | Zhouchen Lin, Heung-Yeung Shum |
| 1999 | ICIAP | An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation. | Zhouchen Lin, Qingyun Shi |