Zhouchen Lin - RankMe

514 papers A* 122A 5B 13C 5Misc 1Journal 315Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Video Temporal Grounding With Multimodal Large Language Model. IEEE Trans. Pattern Anal. Mach. Intell. Jianlong Wu, Wei Liu, Ye Liu, Meng Liu, Liqiang Nie, Zhouchen Lin, Chang Wen Chen
2026	J	`jnl`	Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification. CoRR Lexiang Hu, Youze Xue, Dian Li, Gang Liu, Zhouchen Lin
2026	J	`jnl`	Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective. CoRR Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin
2026	J	`jnl`	CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks. CoRR Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zheng, Zhixuan Chu, Xiaoxi Li, Yuan Lu, Xinggao Liu, Haoxuan Li, Zhouchen Lin
2026	J	`jnl`	Convergence Rate Analysis of the AdamW-Style Shampoo: Unifying One-sided and Two-Sided Preconditioning. CoRR Huan Li, Yiming Dong, Zhouchen Lin
2026	J	`jnl`	Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects. CoRR Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu
2026	A*	`conf`	FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. AAAI Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin
2026	—	`ed.`	Image and Graphics - 13th International Conference, ICIG 2025, Xuzhou, China, October 31 - November 2, 2025, Proceedings, Part I ICIG (1) Zhouchen Lin, Liang Wang, Yugang Jiang, Xuesong Wang, Shengcai Liao, Shiguang Shan, Risheng Liu, Jing Dong, Xin Yu
2026	—	`ed.`	Image and Graphics - 13th International Conference, ICIG 2025, Xuzhou, China, October 31 - November 2, 2025, Proceedings, Part II ICIG (2) Zhouchen Lin, Liang Wang, Yugang Jiang, Xuesong Wang, Shengcai Liao, Shiguang Shan, Risheng Liu, Jing Dong, Xin Yu
2026	—	`ed.`	Image and Graphics - 13th International Conference, ICIG 2025, Xuzhou, China, October 31 - November 2, 2025, Proceedings, Part III ICIG (3) Zhouchen Lin, Liang Wang, Yugang Jiang, Xuesong Wang, Shengcai Liao, Shiguang Shan, Risheng Liu, Jing Dong, Xin Yu
2026	J	`jnl`	ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment. CoRR Hao Wang, Haocheng Yang, Licheng Pan, Lei Shen, Xiaoxi Li, Yinuo Wang, Zhichao Chen, Yuan Lu, Haoxuan Li, Zhouchen Lin
2026	J	`jnl`	LiteToken: Removing Intermediate Merge Residues From BPE Tokenizers. CoRR Yike Sun, Haotong Yang, Zhouchen Lin, Muhan Zhang
2026	J	`jnl`	PRISM: Parallel Residual Iterative Sequence Model. CoRR Jie Jiang, Ke Cheng, Xin Xu, Mengyang Pang, Tianhao Lu, Jiaheng Li, Yue Liu, Yuan Wang, Jun Zhang, Huan Yu, Zhouchen Lin
2026	J	`jnl`	Partial Feedback Online Learning. CoRR Shihao Shao, Cong Fang, Zhouchen Lin, Dacheng Tao
2026	J	`jnl`	Proof-RM: A Scalable and Generalizable Reward Model for Math Proof. CoRR Haotong Yang, Zitong Wang, Shijia Kang, Siqi Yang, Wenkai Yu, Xu Niu, Yike Sun, Yi Hu, Zhouchen Lin, Muhan Zhang
2026	J	`jnl`	Rethinking Personalization in Large Language Models at the Token Level. CoRR Chenheng Zhang, Yijun Lu, Lizhe Fang, Chunyuan Zheng, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Yisen Wang, Zhouchen Lin
2026	J	`jnl`	Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective. CoRR Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin
2026	A*	`conf`	Uplift Modeling with Delayed Feedback: Identifiability and Algorithms. AAAI Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li, Zhouchen Lin
2025	J	`jnl`	A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks. CoRR Qingyan Meng, Mingqing Xiao, Zhengyu Ma, Huihui Zhou, Yonghong Tian, Zhouchen Lin
2025	J	`jnl`	A Survey on Video Temporal Grounding with Multimodal Large Language Model. CoRR Jianlong Wu, Wei Liu, Ye Liu, Meng Liu, Liqiang Nie, Zhouchen Lin, Chang Wen Chen
2025	J	`jnl`	AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks. CoRR Jianlong Chang, Haixin Wang, Zhiyuan Dang, Li Huang, Zhiyu Wang, Ruoqi Cao, Shihao Piao, Dongzhe Li, Dianyu Gao, Dongsheng Wang, Yin Li, Jinan Sun, Lu Fang, Zhouchen Lin
2025	A*	`conf`	AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing. SIGIR Yong Chen, Yuxiang Zhou, Hailiang Dong, Rui Liu, Zhouchen Lin, Dell Zhang
2025	A*	`conf`	Active Treatment Effect Estimation via Limited Samples. ICML Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin
2025	A*	`conf`	Affine Steerable Equivariant Layer for Canonicalization of Neural Networks. ICLR Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin
2025	J	`jnl`	ClusMatch: Improving Deep Clustering by Unified Positive and Negative Pseudo-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jianlong Wu, Zihan Li, Wei Sun, Jianhua Yin, Liqiang Nie, Zhouchen Lin
2025	J	`jnl`	Conda: Column-Normalized Adam for Training Large Language Models Faster. CoRR Junjie Wang, Pan Zhou, Yiming Dong, Huan Li, Jia Li, Xun Zhou, Qicheng Lao, Cong Fang, Zhouchen Lin
2025	J	`jnl`	DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD. CoRR Xianbiao Qi, Marco Chen, Wenjie Xiao, Jiaquan Ye, Yelin He, Chun-Guang Li, Zhouchen Lin
2025	J	`jnl`	DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment. CoRR Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin
2025	A*	`conf`	Empowering LLMs with Logical Reasoning: A Comprehensive Survey. IJCAI Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin
2025	J	`jnl`	Empowering LLMs with Logical Reasoning: A Comprehensive Survey. CoRR Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin
2025	A*	`conf`	Explicit Discovery of Nonlinear Symmetries from Dynamic Data. ICML Lexiang Hu, Yikang Li, Zhouchen Lin
2025	J	`jnl`	Explicit Discovery of Nonlinear Symmetries from Dynamic Data. CoRR Lexiang Hu, Yikang Li, Zhouchen Lin
2025	J	`jnl`	Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training. CoRR Yisen Wang, Yichuan Mo, Hongjun Wang, Junyi Li, Zhouchen Lin
2025	J	`jnl`	Governing Equation Discovery from Data Based on Differential Invariants. CoRR Lexiang Hu, Yikang Li, Zhouchen Lin
2025	J	`jnl`	High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces. J. Mach. Learn. Res. Shihao Shao, Yikang Li, Zhouchen Lin, Qinghua Cui
2025	J	`jnl`	Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads. CoRR Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin
2025	A*	`conf`	Incorporating Arbitrary Matrix Group Equivariance into KANs. ICML Lexiang Hu, Yisen Wang, Zhouchen Lin
2025	J	`jnl`	Language Ranker: A Lightweight Ranking framework for LLM Decoding. CoRR Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
2025	J	`jnl`	Learning nonseparable sparse regularizers via multivariate activation functions. Neurocomputing Xin Xu, Zhouchen Lin
2025	A*	`conf`	Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization. ICML Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin
2025	J	`jnl`	MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning. CoRR 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, Xu-Yao Zhang, Qiang Liu, Zhouchen Lin, Wentao Zhang, Bin Dong
2025	A*	`conf`	Number Cookbook: Number Understanding of Language Models and How to Improve It. ICLR Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang
2025	—	`conf`	On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation. ICIG (2) Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu
2025	J	`jnl`	On the Limitations and Capabilities of Position Embeddings for Length Generalization. CoRR Yang Chen, Yitao Liang, Zhouchen Lin
2025	J	`jnl`	On the O(\frac{√d}}{K CoRR Huan Li, Yiming Dong, Zhouchen Lin
2025	J	`jnl`	On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm. J. Mach. Learn. Res. Huan Li, Yiming Dong, Zhouchen Lin
2025	J	`jnl`	Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness. Sci. China Inf. Sci. Ke Sun, Mingjie Li, Zhouchen Lin
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024 Urumqi, China, October 18-20, 2024 Proceedings, Part IV PRCV (4) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part I PRCV (1) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part II PRCV (2) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part III PRCV (3) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part IX PRCV (9) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part V PRCV (5) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VI PRCV (6) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VII PRCV (7) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VIII PRCV (8) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part X PRCV (10) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XI PRCV (11) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XII PRCV (12) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII PRCV (13) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIV PRCV (14) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`ed.`	Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV PRCV (15) Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025	—	`conf`	Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation. KDD (2) Hao Wang, Zhichao Chen, Zhaoran Liu, Xu Chen, Haoxuan Li, Zhouchen Lin
2025	A*	`conf`	Pyramidal Flow Matching for Efficient Video Generative Modeling. ICLR Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin
2025	J	`jnl`	Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models. CoRR Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin
2025	J	`jnl`	Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond. CoRR Fan Zhang, Haoxuan Li, Shengju Qian, Xin Wang, Zheng Lian, Hao Wu, Zhihong Zhu, Yuan Gao, Qiankun Li, Yefeng Zheng, Zhouchen Lin, Pheng-Ann Heng
2025	A*	`conf`	SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process. ICLR Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin
2025	J	`jnl`	Simple Convergence Proof of Adam From a Sign-like Descent Perspective. CoRR Hanyang Peng, Shuang Qin, Yue Yu, Fangqing Jiang, Hui Wang, Zhouchen Lin
2025	J	`jnl`	Stepsize anything: A unified learning rate schedule for budgeted-iteration training. CoRR Anda Tang, Yiming Dong, Yutao Zeng, Xun Zhou, Zhouchen Lin
2025	J	`jnl`	Symmetry discovery for different data types. Neural Networks Lexiang Hu, Yikang Li, Zhouchen Lin
2025	A*	`conf`	TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice. ICLR Shen Yan, Xingyan Bin, Sijun Zhang, Yisen Wang, Zhouchen Lin
2025	J	`jnl`	TransDF: Time-Series Forecasting Needs Transformed Label Alignment. CoRR Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin
2025	A*	`conf`	Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning. ICML Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin
2025	J	`jnl`	VACT: A Video Automatic Causal Testing System and a Benchmark. CoRR Haotong Yang, Qingyuan Zheng, Yunjian Gao, Yongkun Yang, Yangbo He, Zhouchen Lin, Muhan Zhang
2024	J	`jnl`	Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization. J. Mach. Learn. Res. Huan Li, Zhouchen Lin
2024	J	`jnl`	Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. IEEE Trans. Pattern Anal. Mach. Intell. Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan
2024	A*	`conf`	Affine Equivariant Networks Based on Differential Invariants. CVPR Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Zhouchen Lin
2024	J	`jnl`	Convergence Rate Analysis of LION. CoRR Yiming Dong, Huan Li, Zhouchen Lin
2024	J	`jnl`	Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation. Biomed. Signal Process. Control. Zongpeng Zhang, Taoyun Ji, Mingqing Xiao, Wen Wang, Guojing Yu, Tong Lin, Yuwu Jiang, Xiaohua Zhou, Zhouchen Lin
2024	J	`jnl`	DIGIC: Domain Generalizable Imitation Learning by Causal Discovery. CoRR Yang Chen, Yitao Liang, Zhouchen Lin
2024	J	`jnl`	Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach. IEEE Trans. Pattern Anal. Mach. Intell. Zhoutong Wu, Mingqing Xiao, Cong Fang, Zhouchen Lin
2024	J	`jnl`	EKAN: Equivariant Kolmogorov-Arnold Networks. CoRR Lexiang Hu, Yisen Wang, Zhouchen Lin
2024	J	`jnl`	Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks. Neural Networks Zhengyang Shen, Yeqing Qiu, Jialun Liu, Lingshen He, Zhouchen Lin
2024	J	`jnl`	Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales. Sci. China Inf. Sci. Baoquan Chen, Zhouchen Lin, Peng Xi, Yebin Liu, Xiaodian Chen
2024	J	`jnl`	GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model. CoRR Haotong Yang, Xiyuan Wang, Qian Tao, Shuxian Hu, Zhouchen Lin, Muhan Zhang
2024	A*	`conf`	Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. ICLR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2024	J	`jnl`	Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2024	J	`jnl`	High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces. CoRR Shihao Shao, Yikang Li, Zhouchen Lin, Qinghua Cui
2024	A*	`conf`	LION: Implicit Vision Prompt Tuning. AAAI Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian
2024	J	`jnl`	Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization. CoRR Yang Chen, Yitao Liang, Zhouchen Lin
2024	A	`conf`	MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling. ECAI Xin Xu, Zhouchen Lin
2024	J	`jnl`	Number Cookbook: Number Understanding of Language Models and How to Improve It. CoRR Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang
2024	J	`jnl`	On the Adversarial Transferability of Generalized "Skip Connections". CoRR Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin
2024	J	`jnl`	On the O(×d/T CoRR Huan Li, Zhouchen Lin
2024	J	`jnl`	Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2024	J	`jnl`	PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium. J. Mach. Learn. Res. Shihong Ding, Hanze Dong, Cong Fang, Zhouchen Lin, Tong Zhang
2024	J	`jnl`	Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Ming-Hsuan Yang, Dacheng Tao
2024	J	`jnl`	Pyramidal Flow Matching for Efficient Video Generative Modeling. CoRR Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin
2024	—	`conf`	Reducing Memory Footprint in Deep Network Training by Gradient Space Reutilization. PRCV (2) Yiming Dong, Zhouchen Lin
2024	A*	`conf`	Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective. ICML Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu
2024	J	`jnl`	Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective. CoRR Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu
2024	J	`jnl`	SSCNet: learning-based subspace clustering. Vis. Intell. Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhouchen Lin
2024	J	`jnl`	Sampling complex topology structures for spiking neural networks. Neural Networks Shen Yan, Qingyan Meng, Mingqing Xiao, Yisen Wang, Zhouchen Lin
2024	A*	`conf`	Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics. NeurIPS Zhoutong Wu, Yimu Zhang, Cong Fang, Zhouchen Lin
2024	J	`jnl`	Symmetry Discovery for Different Data Types. CoRR Lexiang Hu, Yikang Li, Zhouchen Lin
2024	A*	`conf`	Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. ICML Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin
2024	J	`jnl`	Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. CoRR Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin
2024	J	`jnl`	Tensor Recovery With Weighted Tensor Average Rank. IEEE Trans. Neural Networks Learn. Syst. Xiaoqin Zhang, Jingjing Zheng, Li Zhao, Zhengyuan Zhou, Zhouchen Lin
2024	J	`jnl`	Towards Understanding Convergence and Generalization of AdamW. IEEE Trans. Pattern Anal. Mach. Intell. Pan Zhou, Xingyu Xie, Zhouchen Lin, Shuicheng Yan
2024	J	`jnl`	Visual Tuning. ACM Comput. Surv. Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen
2024	J	`jnl`	Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training. J. Mach. Learn. Res. Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan
2023	A*	`conf`	A Message Passing Perspective on Learning Dynamics of Contrastive Learning. ICLR Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	J	`jnl`	A Message Passing Perspective on Learning Dynamics of Contrastive Learning. CoRR Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	A*	`conf`	A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization. NeurIPS Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin
2023	A*	`conf`	Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective. NeurIPS Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	J	`jnl`	Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective. CoRR Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	J	`jnl`	CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity. CoRR Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-Chun Zhu
2023	J	`jnl`	Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models. CoRR Yi Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang
2023	J	`jnl`	Equilibrium Image Denoising With Implicit Differentiation. IEEE Trans. Image Process. Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2023	J	`jnl`	Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure. CoRR Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang
2023	A*	`conf`	GEQ: Gaussian Kernel Inspired Equilibrium Models. NeurIPS Mingjie Li, Yisen Wang, Zhouchen Lin
2023	A	`conf`	Global Convergence of Over-parameterized Deep Equilibrium Models. AISTATS Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin
2023	B	`conf`	Gradient Descent Optimizes Normalization-Free ResNets. IJCNN Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin
2023	J	`jnl`	Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2023	A*	`conf`	KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. IJCAI Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu
2023	J	`jnl`	LION: Implicit Vision Prompt Tuning. CoRR Haixin Wang, Jianlong Chang, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian
2023	J	`jnl`	Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning. CoRR Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao
2023	A*	`conf`	Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. ICLR Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao
2023	J	`jnl`	Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants. CoRR Yibo Yang, Haobo Yuan, Xiangtai Li, Jianlong Wu, Lefei Zhang, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao, Bernard Ghanem
2023	A*	`conf`	Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks. ICLR Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin
2023	A*	`conf`	On the Lower Bound of Minimizing Polyak-Łojasiewicz functions. COLT Pengyun Yue, Cong Fang, Zhouchen Lin
2023	J	`jnl`	Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. IEEE Trans. Pattern Anal. Mach. Intell. Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin
2023	J	`jnl`	Optimization-inspired manual architecture design and neural architecture search. Sci. China Inf. Sci. Yibo Yang, Zhengyang Shen, Huan Li, Zhouchen Lin
2023	J	`jnl`	PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. CoRR Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Dacheng Tao
2023	C	`conf`	Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. ACML Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu
2023	J	`jnl`	Policy Representation via Diffusion Probability Model for Reinforcement Learning. CoRR Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, Zhouchen Lin
2023	J	`jnl`	Provable Particle-based Primal-Dual Algorithm for Mixed Nash Equilibrium. CoRR Shihong Ding, Hanze Dong, Cong Fang, Zhouchen Lin, Tong Zhang
2023	J	`jnl`	Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity. J. Mach. Learn. Res. Huan Li, Zhouchen Lin
2023	J	`jnl`	SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2023	J	`jnl`	SPIDE: A purely spike-based method for training feedback spiking neural networks. Neural Networks Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2023	J	`jnl`	ShadowNet for Data-Centric Quantum System Learning. CoRR Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao
2023	J	`jnl`	Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin
2023	A*	`conf`	Task-Robust Pre-Training for Worst-Case Downstream Adaptation. NeurIPS Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin
2023	J	`jnl`	Task-Robust Pre-Training for Worst-Case Downstream Adaptation. CoRR Jianghui Wang, Cheng Yang, Xingyu Xie, Cong Fang, Zhouchen Lin
2023	A*	`conf`	Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. ICCV Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2023	J	`jnl`	Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. CoRR Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2023	A*	`conf`	Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. ICLR Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin
2023	J	`jnl`	Visual Tuning. CoRR Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen
2023	A*	`conf`	Zeroth-order Optimization with Weak Dimension Dependency. COLT Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin
2022	J	`jnl`	A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi
2022	A*	`conf`	A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. ICLR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	J	`jnl`	A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. CoRR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	J	`jnl`	Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. CoRR Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan
2022	—	`book`	Alternating Direction Method of Multipliers for Machine Learning Zhouchen Lin, Huan Li, Cong Fang
2022	A*	`conf`	CerDEQ: Certifiable Deep Equilibrium Model. ICML Mingjie Li, Yisen Wang, Zhouchen Lin
2022	A*	`conf`	Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. ICLR Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	J	`jnl`	Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. CoRR Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	A	`conf`	Convolutional Transformer Networks for Epileptic Seizure Detection. CIKM Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji
2022	J	`jnl`	Do We Really Need a Learnable Classifier at the End of Deep Neural Network? CoRR Yibo Yang, Liang Xie, Shixiang Chen, Xiangtai Li, Zhouchen Lin, Dacheng Tao
2022	B	`conf`	Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. IEEE Big Data Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin
2022	A*	`conf`	G ICML Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin
2022	J	`jnl`	Global Convergence of Over-parameterized Deep Equilibrium Models. CoRR Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin
2022	A*	`conf`	Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao
2022	J	`jnl`	Invertible Rescaling Network and Its Extensions. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2022	J	`jnl`	Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin
2022	A*	`conf`	Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots. ICML Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu, Zhouchen Lin
2022	J	`jnl`	Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification. IEEE Trans. Pattern Anal. Mach. Intell. Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin
2022	A*	`conf`	Online Training Through Time for Spiking Neural Networks. NeurIPS Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2022	J	`jnl`	Online Training Through Time for Spiking Neural Networks. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
2022	A*	`conf`	Optimization inspired Multi-Branch Equilibrium Models. ICLR Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin
2022	A*	`conf`	Optimization-Induced Graph Implicit Nonlinear Diffusion. ICML Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	J	`jnl`	Optimization-Induced Graph Implicit Nonlinear Diffusion. CoRR Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	A*	`conf`	PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs. ICML Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin
2022	J	`jnl`	PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs. CoRR Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin
2022	A*	`conf`	Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε ICML Huan Li, Zhouchen Lin
2022	J	`jnl`	Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε CoRR Huan Li, Zhouchen Lin
2022	A*	`conf`	Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. NeurIPS Haotong Yang, Zhouchen Lin, Muhan Zhang
2022	J	`jnl`	Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. CoRR Haotong Yang, Zhouchen Lin, Muhan Zhang
2022	J	`jnl`	SymNMF-Net for The Symmetric NMF Problem. CoRR Mingjie Li, Hao Kong, Zhouchen Lin
2022	A*	`conf`	Towards Theoretically Inspired Neural Initialization Optimization. NeurIPS Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin
2022	J	`jnl`	Towards Theoretically Inspired Neural Initialization Optimization. CoRR Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin
2022	A*	`conf`	Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CVPR Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2022	J	`jnl`	Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CoRR Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2022	J	`jnl`	Training Neural Networks by Lifted Proximal Operator Machines. IEEE Trans. Pattern Anal. Mach. Intell. Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin
2022	J	`jnl`	Training much deeper spiking neural networks with a small number of time-steps. Neural Networks Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
2022	J	`jnl`	Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction. CoRR Yang Hu, Xiyuan Wang, Zhouchen Lin, Pan Li, Muhan Zhang
2022	J	`jnl`	Under-bagging Nearest Neighbors for Imbalanced Classification. J. Mach. Learn. Res. Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
2022	J	`jnl`	Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization. J. Mach. Learn. Res. Huan Li, Zhouchen Lin, Yongchun Fang
2021	J	`jnl`	Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization. CoRR Huan Li, Zhouchen Lin
2021	J	`jnl`	Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, Zhouchen Lin
2021	A*	`conf`	AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. ICLR Ke Sun, Zhanxing Zhu, Zhouchen Lin
2021	B	`conf`	Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection. ICTAI Nan Ke, Tong Lin, Zhouchen Lin
2021	J	`jnl`	DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling. IEEE Trans. Pattern Anal. Mach. Intell. Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Zhouchen Lin, Chunhong Pan
2021	A*	`conf`	Dissecting the Diffusion Process in Linear Graph Convolutional Networks. NeurIPS Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Dissecting the Diffusion Process in Linear Graph Convolutional Networks. CoRR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	A*	`conf`	Efficient Equivariant Network. NeurIPS Lingshen He, Yuxuan Chen, Zhengyang Shen, Yiming Dong, Yisen Wang, Zhouchen Lin
2021	A*	`conf`	GBHT: Gradient Boosting Histogram Transform for Density Estimation. ICML Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	GBHT: Gradient Boosting Histogram Transform for Density Estimation. CoRR Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
2021	A*	`conf`	Gauge Equivariant Transformer. NeurIPS Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin
2021	J	`jnl`	Gradient Boosted Binary Histogram Ensemble for Large-scale Regression. CoRR Hanyuan Hang, Tao Huang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
2021	A*	`conf`	Graph Contrastive Clustering. ICCV Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
2021	J	`jnl`	Graph Contrastive Clustering. CoRR Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
2021	J	`jnl`	Histogram Transform Ensembles for Large-scale Regression. J. Mach. Learn. Res. Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
2021	J	`jnl`	Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond. CoRR Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin
2021	A*	`conf`	Is Attention Better Than Matrix Decomposition? ICLR Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin
2021	J	`jnl`	Is Attention Better Than Matrix Decomposition? CoRR Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin
2021	A*	`conf`	Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. AAAI Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin
2021	A*	`conf`	Leveraged Weighted Loss for Partial Label Learning. ICML Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	Leveraged Weighted Loss for Partial Label Learning. CoRR Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin
2021	A*	`conf`	Long-Tail Hashing. SIGIR Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin, Dell Zhang
2021	A*	`conf`	On Training Implicit Models. NeurIPS Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	On Training Implicit Models. CoRR Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	Optimization Induced Equilibrium Networks. CoRR Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin
2021	J	`jnl`	PDO-eS CoRR Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma
2021	A*	`conf`	PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs. AAAI Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma
2021	J	`jnl`	Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness. CoRR Ke Sun, Mingjie Li, Zhouchen Lin
2021	A*	`conf`	PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. CVPR Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin
2021	J	`jnl`	PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. CoRR Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin
2021	J	`jnl`	Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration. CoRR Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin
2021	J	`jnl`	Reconstruction regularized low-rank subspace learning for cross-modal retrieval. Pattern Recognit. Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha
2021	J	`jnl`	Recurrent learning with clique structures for prostate sparse-view CT artifacts reduction. IET Image Process. Tiancheng Shen, Yibo Yang, Zhouchen Lin, Mingbin Zhang
2021	—	`conf`	Reparameterized Sampling for Generative Adversarial Networks. ECML/PKDD (3) Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Reparameterized Sampling for Generative Adversarial Networks. CoRR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	A*	`conf`	Residual Relaxation for Multi-view Representation Learning. NeurIPS Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Residual Relaxation for Multi-view Representation Learning. CoRR Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Tensor Low-Rank Representation for Data Recovery and Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2021	J	`jnl`	Tensor Q-rank: new data dependent definition of tensor rank. Mach. Learn. Hao Kong, Canyi Lu, Zhouchen Lin
2021	J	`jnl`	Towards Efficient Scene Understanding via Squeeze Reasoning. IEEE Trans. Image Process. Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin
2021	A*	`conf`	Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. CVPR Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin
2021	J	`jnl`	Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. CoRR Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin
2021	A*	`conf`	Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. NeurIPS Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. CoRR Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
2021	A*	`conf`	Uncertainty Principles of Encoding GANs. ICML Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha
2021	J	`jnl`	Under-bagging Nearest Neighbors for Imbalanced Classification. CoRR Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
2020	J	`jnl`	Accelerated First-Order Optimization Algorithms for Machine Learning. Proc. IEEE Huan Li, Cong Fang, Zhouchen Lin
2020	—	`book`	Accelerated Optimization for Machine Learning - First-Order Algorithms Zhouchen Lin, Huan Li, Cong Fang
2020	A*	`conf`	Boosted Histogram Transform for Regression. ICML Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin
2020	J	`jnl`	Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data. CoRR Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu
2020	J	`jnl`	Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters. IEEE Trans. Signal Process. Huan Li, Cong Fang, Wotao Yin, Zhouchen Lin
2020	A*	`conf`	Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. AAAI Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin
2020	A*	`conf`	ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding. NeurIPS Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
2020	J	`jnl`	ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding. CoRR Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
2020	A*	`conf`	Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. ICML Mingjie Li, Lingshen He, Zhouchen Lin
2020	—	`conf`	Improving Semantic Segmentation via Decoupled Body and Edge Supervision. ECCV (17) Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong
2020	J	`jnl`	Improving Semantic Segmentation via Decoupled Body and Edge Supervision. CoRR Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong
2020	—	`conf`	Invertible Image Rescaling. ECCV (1) Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020	J	`jnl`	Invertible Image Rescaling. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020	J	`jnl`	Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision. CoRR Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo
2020	A*	`conf`	Maximum-and-Concatenation Networks. ICML Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
2020	J	`jnl`	Maximum-and-Concatenation Networks. CoRR Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
2020	A*	`conf`	Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. AAAI Ke Sun, Zhouchen Lin, Zhanxing Zhu
2020	J	`jnl`	Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. IEEE Trans. Image Process. Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen
2020	J	`jnl`	On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent. J. Mach. Learn. Res. Huan Li, Zhouchen Lin
2020	J	`jnl`	On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo
2020	J	`jnl`	Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization. CoRR Huan Li, Zhouchen Lin, Yongchun Fang
2020	A*	`conf`	PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. ICML Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma
2020	J	`jnl`	PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. CoRR Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma
2020	J	`jnl`	Provable accelerated gradient method for nonconvex low rank optimization. Mach. Learn. Huan Li, Zhouchen Lin
2020	J	`jnl`	Revisiting EXTRA for Smooth Distributed Optimization. CoRR Huan Li, Zhouchen Lin
2020	J	`jnl`	Revisiting EXTRA for Smooth Distributed Optimization. SIAM J. Optim. Huan Li, Zhouchen Lin
2020	A*	`conf`	SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. AAAI Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin
2020	A*	`conf`	Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. CVPR Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu
2020	J	`jnl`	Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. CoRR Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu
2020	A*	`conf`	Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild. AAAI Yueying Kao, Weiming Li, Qiang Wang, Zhouchen Lin, Wooshik Kim, Sunghoon Hong
2020	J	`jnl`	Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm. IEEE Trans. Pattern Anal. Mach. Intell. Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2020	J	`jnl`	Towards Efficient Scene Understanding via Squeeze Reasoning. CoRR Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin
2020	A*	`conf`	Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. AAAI Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha
2019	J	`jnl`	ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition. CoRR Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang
2019	J	`jnl`	ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition. Neural Networks Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang
2019	J	`jnl`	Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis. J. Sci. Comput. Huan Li, Zhouchen Lin
2019	J	`jnl`	AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. CoRR Ke Sun, Zhouchen Lin, Zhanxing Zhu
2019	A*	`conf`	Deep Comprehensive Correlation Mining for Image Clustering. ICCV Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha
2019	J	`jnl`	Deep Comprehensive Correlation Mining for Image Clustering. CoRR Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha
2019	A*	`conf`	Differentiable Linearized ADMM. ICML Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin
2019	J	`jnl`	Differentiable Linearized ADMM. CoRR Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin
2019	J	`jnl`	Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. CoRR Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin
2019	J	`jnl`	Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN. CoRR Ke Sun, Zhanxing Zhu, Zhouchen Lin
2019	J	`jnl`	Essential Tensor Learning for Multi-View Spectral Clustering. IEEE Trans. Image Process. Jianlong Wu, Zhouchen Lin, Hongbin Zha
2019	A*	`conf`	Expectation-Maximization Attention Networks for Semantic Segmentation. ICCV Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu
2019	J	`jnl`	Expectation-Maximization Attention Networks for Semantic Segmentation. CoRR Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu
2019	J	`jnl`	Histogram Transform Ensembles for Large-scale Regression. CoRR Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
2019	A*	`conf`	Lifted Proximal Operator Machines. AAAI Jia Li, Cong Fang, Zhouchen Lin
2019	J	`jnl`	Multi-Stage Self-Supervised Learning for Graph Convolutional Networks. CoRR Ke Sun, Zhanxing Zhu, Zhouchen Lin
2019	—	`conf`	Neural Ordinary Differential Equations with Envolutionary Weights. PRCV (1) Lingshen He, Xingyu Xie, Zhouchen Lin
2019	J	`jnl`	Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. CoRR Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu
2019	—	`ed.`	Pattern Recognition and Computer Vision - Second Chinese Conference, PRCV 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part I PRCV (1) Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang
2019	—	`ed.`	Pattern Recognition and Computer Vision - Second Chinese Conference, PRCV 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part II PRCV (2) Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang
2019	—	`ed.`	Pattern Recognition and Computer Vision - Second Chinese Conference, PRCV 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part III PRCV (3) Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang
2019	—	`conf`	R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal. MICCAI (6) Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin
2019	J	`jnl`	Robust 3D Human Pose Estimation from Single Images or Video Sequences. IEEE Trans. Pattern Anal. Mach. Intell. Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille
2019	J	`jnl`	SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. CoRR Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin
2019	A*	`conf`	Self-Supervised Convolutional Subspace Clustering Network. CVPR Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
2019	J	`jnl`	Self-Supervised Convolutional Subspace Clustering Network. CoRR Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
2019	A*	`conf`	Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. COLT Cong Fang, Zhouchen Lin, Tong Zhang
2019	J	`jnl`	Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. CoRR Cong Fang, Zhouchen Lin, Tong Zhang
2019	J	`jnl`	Subspace Clustering Under Complex Noise. IEEE Trans. Circuits Syst. Video Technol. Baohua Li, Huchuan Lu, Ying Zhang, Zhouchen Lin, Wei Wu
2019	J	`jnl`	Subspace Clustering by Block Diagonal Representation. IEEE Trans. Pattern Anal. Mach. Intell. Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan
2019	J	`jnl`	Tensor Q-Rank: A New Data Dependent Tensor Rank. CoRR Hao Kong, Zhouchen Lin
2019	J	`jnl`	The Augmented Homogeneous Coordinates Matrix-Based Projective Mismatch Removal for Partial-Duplicate Image Search. IEEE Trans. Image Process. Yan Zheng, Zhouchen Lin
2019	J	`jnl`	Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors. CoRR Ke Sun, Zhanxing Zhu, Zhouchen Lin
2019	J	`jnl`	Two-weight and three-weight linear codes based on Weil sums. Finite Fields Their Appl. Gaopeng Jian, Zhouchen Lin, Rongquan Feng
2019	—	`conf`	Virtual Adversarial Training on Graph Convolutional Networks in Node Classification. PRCV (1) Ke Sun, Zhouchen Lin, Hantao Guo, Zhanxing Zhu
2019	J	`jnl`	Virtual Adversarial Training on Graph Convolutional Networks in Node Classification. CoRR Ke Sun, Hantao Guo, Zhanxing Zhu, Zhouchen Lin
2019	J	`jnl`	ℓ IEEE Trans. Neural Networks Learn. Syst. Wenming Zheng, Cheng Lu, Zhouchen Lin, Tong Zhang, Zhen Cui, Wankou Yang
2018	J	`jnl`	A Unified Alternating Direction Method of Multipliers by Majorization Minimization. IEEE Trans. Pattern Anal. Mach. Intell. Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin
2018	J	`jnl`	Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation. CoRR Cong Fang, Yameng Huang, Zhouchen Lin
2018	—	`conf`	Alternating Multi-bit Quantization for Recurrent Neural Networks. ICLR (Poster) Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha
2018	J	`jnl`	Alternating Multi-bit Quantization for Recurrent Neural Networks. CoRR Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha
2018	J	`jnl`	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. CoRR Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
2018	J	`jnl`	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
2018	J	`jnl`	Binary Multidimensional Scaling for Hashing. IEEE Trans. Image Process. Yameng Huang, Zhouchen Lin
2018	C	`conf`	Construction of Incoherent Dictionaries via Direct Babel Function Minimization. ACML Huan Li, Zhouchen Lin
2018	A*	`conf`	Convolutional Neural Networks With Alternately Updated Clique. CVPR Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin
2018	J	`jnl`	Convolutional Neural Networks with Alternately Updated Clique. CoRR Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin
2018	J	`jnl`	Demosaicking based on channel-correlation adaptive dictionary learning. J. Electronic Imaging Chen-Yan Bai, Jia Li, Zhouchen Lin
2018	J	`jnl`	Dictionary learning with structured noise. Neurocomputing Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
2018	J	`jnl`	Essential Tensor Learning for Multi-view Spectral Clustering. CoRR Jianlong Wu, Zhouchen Lin, Hongbin Zha
2018	A*	`conf`	Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. IJCAI Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2018	J	`jnl`	Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. CoRR Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2018	J	`jnl`	Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding. IEEE Trans. Image Process. Xiang Zhang, Jiarui Sun, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao
2018	J	`jnl`	Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. IEEE J. Sel. Top. Signal Process. Thierry Bouwmans, Namrata Vaswani, Paul Rodríguez, René Vidal, Zhouchen Lin
2018	A	`conf`	Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. CIKM Jianlong Wu, Zhouchen Lin, Hongbin Zha
2018	A*	`conf`	Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. NeurIPS Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang
2018	J	`jnl`	Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. CoRR Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang
2018	J	`jnl`	Lifted Proximal Operator Machines. CoRR Jia Li, Cong Fang, Zhouchen Lin
2018	J	`jnl`	Low-Rank Matrix Recovery Via Robust Outlier Estimation. IEEE Trans. Image Process. Xiaojie Guo, Zhouchen Lin
2018	A*	`conf`	Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. AAAI Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2018	J	`jnl`	On the Applications of Robust PCA in Image and Video Processing. Proc. IEEE Thierry Bouwmans, Sajid Javed, Hongyang Zhang, Zhouchen Lin, Ricardo Otazo
2018	J	`jnl`	On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems. CoRR Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo
2018	C	`conf`	Optimization Algorithm Inspired Deep Neural Network Structure Design. ACML Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin
2018	J	`jnl`	Optimization Algorithm Inspired Deep Neural Network Structure Design. CoRR Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin
2018	J	`jnl`	Optimized projections for compressed sensing via direct mutual coherence minimization. Signal Process. Canyi Lu, Huan Li, Zhouchen Lin
2018	—	`conf`	Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. ECCV (7) Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha
2018	J	`jnl`	Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. CoRR Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha
2018	J	`jnl`	Robust Matrix Factorization by Majorization Minimization. IEEE Trans. Pattern Anal. Mach. Intell. Zhouchen Lin, Chen Xu, Hongbin Zha
2018	J	`jnl`	SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator. CoRR Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang
2018	A*	`conf`	SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator. NeurIPS Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang
2018	J	`jnl`	Subspace Clustering by Block Diagonal Representation. CoRR Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan
2018	J	`jnl`	Tensor Factorization for Low-Rank Tensor Completion. IEEE Trans. Image Process. Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang
2018	J	`jnl`	Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm. CoRR Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2018	J	`jnl`	t-Schatten-p Norm for Low-Rank Tensor Recovery. IEEE J. Sel. Top. Signal Process. Hao Kong, Xingyu Xie, Zhouchen Lin
2017	A*	`conf`	A Unified Convex Surrogate for the Schatten- AAAI Chen Xu, Zhouchen Lin, Hongbin Zha
2017	J	`jnl`	Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels. IEEE Trans. Image Process. Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu
2017	J	`jnl`	Bilevel Model-Based Discriminative Dictionary Learning for Recognition. IEEE Trans. Image Process. Pan Zhou, Chao Zhang, Zhouchen Lin
2017	J	`jnl`	Efficient tree-structured SfM by RANSAC generalized Procrustes analysis. Comput. Vis. Image Underst. Yisong Chen, Antoni B. Chan, Zhouchen Lin, Kenji Suzuki, Guoping Wang
2017	B	`conf`	Factorization for projective and metric reconstruction via truncated nuclear norm. IJCNN Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha
2017	A*	`conf`	Fast Compressive Phase Retrieval under Bounded Noise. AAAI Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu
2017	—	`conf`	Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers. NIPS Cong Fang, Feng Cheng, Zhouchen Lin
2017	J	`jnl`	Feature learning via partial differential equation with applications to face recognition. Pattern Recognit. Cong Fang, Zhenyu Zhao, Pan Zhou, Zhouchen Lin
2017	B	`conf`	Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation. DCC Xiang Zhang, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao
2017	A*	`conf`	Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval. SIGIR Jianlong Wu, Zhouchen Lin, Hongbin Zha
2017	J	`jnl`	Label Information Guided Graph Construction for Semi-Supervised Learning. IEEE Trans. Image Process. Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma
2017	J	`jnl`	Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition. Neurocomputing Jianlong Wu, Zhouchen Lin, Wenming Zheng, Hongbin Zha
2017	J	`jnl`	Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. CoRR Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2017	J	`jnl`	Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking. IEEE Trans. Image Process. Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu
2017	A*	`conf`	Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. AAAI Cong Fang, Zhouchen Lin
2017	A*	`conf`	ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery. IJCAI Xiaojie Guo, Zhouchen Lin
2017	J	`jnl`	Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CoRR Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2017	J	`jnl`	The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search. IEEE Trans. Image Process. Yang Lin, Zhouchen Lin, Hongbin Zha
2016	J	`jnl`	A Unified Alternating Direction Method of Multipliers by Majorization Minimization. CoRR Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin
2016	J	`jnl`	A Unified Convex Surrogate for the Schatten-$p$ Norm. CoRR Chen Xu, Zhouchen Lin, Hongbin Zha
2016	J	`jnl`	A fast alternating time-splitting approach for learning partial differential equations. Neurocomputing Zhenyu Zhao, Zhouchen Lin, Yi Wu
2016	J	`jnl`	Automatic Design of Color Filter Arrays in the Frequency Domain. IEEE Trans. Image Process. Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu
2016	J	`jnl`	Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis. IEEE Trans. Inf. Theory Hongyang Zhang, Zhouchen Lin, Chao Zhang
2016	J	`jnl`	Convex Sparse Spectral Clustering: Single-View to Multi-View. IEEE Trans. Image Process. Canyi Lu, Shuicheng Yan, Zhouchen Lin
2016	J	`jnl`	Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers. IEEE Trans. Pattern Anal. Mach. Intell. Zhouchen Lin, Yameng Huang
2016	A*	`conf`	Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. AAAI Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan
2016	J	`jnl`	Globally Variance-Constrained Sparse Representation for Image Set Compression. CoRR Xiang Zhang, Jiarui Sun, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao
2016	J	`jnl`	Integrated Low-Rank-Based Discriminative Feature Learning for Recognition. IEEE Trans. Neural Networks Learn. Syst. Pan Zhou, Zhouchen Lin, Chao Zhang
2016	J	`jnl`	Laplacian Regularized Low-Rank Representation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. Ming Yin, Junbin Gao, Zhouchen Lin
2016	J	`jnl`	Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo
2016	J	`jnl`	Locality-preserving low-rank representation for graph construction from nonlinear manifolds. Neurocomputing Liansheng Zhuang, Jingjing Wang, Zhouchen Lin, Allen Y. Yang, Yi Ma, Nenghai Yu
2016	B	`conf`	Multi-view common space learning for emotion recognition in the wild. ICMI Jianlong Wu, Zhouchen Lin, Hongbin Zha
2016	J	`jnl`	Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm. IEEE Trans. Image Process. Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin
2016	J	`jnl`	Penrose high-dynamic-range imaging. J. Electronic Imaging Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu
2016	A*	`conf`	Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization. AAAI Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha
2016	—	`conf`	Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks. ECCV (7) Li Shen, Zhouchen Lin, Qingming Huang
2016	A*	`conf`	Robust Kernel Estimation with Outliers Handling for Image Deblurring. CVPR Jin-shan Pan, Zhouchen Lin, Zhixun Su, Ming-Hsuan Yang
2016	A*	`conf`	Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors. SIGIR Yuqing Hou, Zhouchen Lin, Jin-Ge Yao
2016	J	`jnl`	Tensor LRR and Sparse Coding-Based Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong
2016	A*	`conf`	Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CVPR Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2016	J	`jnl`	Transformation invariant subspace clustering. Pattern Recognit. Qi Li, Zhenan Sun, Zhouchen Lin, Ran He, Tieniu Tan
2015	A*	`conf`	A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm. CVPR Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang
2015	J	`jnl`	A robust hybrid method for text detection in natural scenes by learning-based partial differential equations. Neurocomputing Zhenyu Zhao, Cong Fang, Zhouchen Lin, Yi Wu
2015	—	`conf`	Accelerated Proximal Gradient Methods for Nonconvex Programming. NIPS Huan Li, Zhouchen Lin
2015	A*	`conf`	Adaptive Sharing for Image Classification. IJCAI Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, Enhua Wu
2015	J	`jnl`	Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis. CoRR Hongyang Zhang, Zhouchen Lin, Chao Zhang
2015	J	`jnl`	Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features. IEEE Trans. Image Process. Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu
2015	J	`jnl`	Convex Sparse Spectral Clustering: Single-view to Multi-view. CoRR Canyi Lu, Shuicheng Yan, Zhouchen Lin
2015	J	`jnl`	Correlation Adaptive Subspace Segmentation by Trace Lasso. CoRR Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2015	J	`jnl`	Correntropy Induced L2 Graph for Robust Subspace Clustering. CoRR Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin
2015	B	`conf`	Determining step sizes in geometric optimization algorithms. ISIT Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang
2015	J	`jnl`	Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo
2015	A*	`conf`	Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds. AAAI Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
2015	J	`jnl`	Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. CoRR Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan
2015	A*	`conf`	Generalized Singular Value Thresholding. AAAI Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin
2015	C	`conf`	Image tag completion and refinement by subspace clustering and matrix completion. VCIP Yuqing Hou, Zhouchen Lin
2015	J	`jnl`	Learning Deep Convolutional Neural Networks for Places2 Scene Recognition. CoRR Li Shen, Zhouchen Lin, Qingming Huang
2015	A*	`conf`	Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning. ICCV Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo
2015	J	`jnl`	Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning. Mach. Learn. Zhouchen Lin, Risheng Liu, Huan Li
2015	J	`jnl`	Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification. IEEE Trans. Image Process. Li Shen, Gang Sun, Qingming Huang, Shuhui Wang, Zhouchen Lin, Enhua Wu
2015	B	`conf`	Multiple Models Fusion for Emotion Recognition in the Wild. ICMI Jianlong Wu, Zhouchen Lin, Hongbin Zha
2015	J	`jnl`	Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm. CoRR Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin
2015	J	`jnl`	Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization. CoRR Zhouchen Lin, Canyi Lu, Huan Li
2015	J	`jnl`	Penrose Demosaicking. IEEE Trans. Image Process. Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu, Yen-Wei Chen
2015	J	`jnl`	Relations Among Some Low-Rank Subspace Recovery Models. Neural Comput. Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
2015	J	`jnl`	Relaxed Majorization-Minimization for Non-smooth and Non-convex Optimization. CoRR Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha
2015	J	`jnl`	Robust nuclear norm regularized regression for face recognition with occlusion. Pattern Recognit. Jianjun Qian, Lei Luo, Jian Yang, Fanlong Zhang, Zhouchen Lin
2015	—	`ch.`	Signature Sample Synthesis. Encyclopedia of Biometrics Liang Wan, Zhouchen Lin
2015	J	`jnl`	Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization. IEEE Trans. Image Process. Canyi Lu, Zhouchen Lin, Shuicheng Yan
2015	A*	`conf`	Subspace clustering by Mixture of Gaussian Regression. CVPR Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu
2014	J	`jnl`	A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning. IEEE Trans. Image Process. Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao
2014	A*	`conf`	Adaptive Partial Differential Equation Learning for Visual Saliency Detection. CVPR Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan
2014	J	`jnl`	Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features. CoRR Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma
2014	A*	`conf`	Generalized Nonconvex Nonsmooth Low-Rank Minimization. CVPR Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin
2014	J	`jnl`	Generalized Nonconvex Nonsmooth Low-Rank Minimization. CoRR Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin
2014	J	`jnl`	Generalized Singular Value Thresholding. CoRR Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin
2014	J	`jnl`	L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. Wenming Zheng, Zhouchen Lin, Haixian Wang
2014	B	`conf`	L1-norm global geometric consistency for partial-duplicate image retrieval. ICIP Yang Lin, Chen Xu, Li Yang, Zhouchen Lin, Hongbin Zha
2014	J	`jnl`	Learning Markov random walks for robust subspace clustering and estimation. Neural Networks Risheng Liu, Zhouchen Lin, Zhixun Su
2014	J	`jnl`	Linear time Principal Component Pursuit and its extensions using ℓ Neurocomputing Risheng Liu, Zhouchen Lin, Zhixun Su, Junbin Gao
2014	B	`conf`	Low Rank Global Geometric Consistency for Partial-Duplicate Image Search. ICPR Li Yang, Yang Lin, Zhouchen Lin, Hongbin Zha
2014	A*	`conf`	Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization. AAAI Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan
2014	J	`jnl`	Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization. CoRR Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan
2014	J	`jnl`	Relations among Some Low Rank Subspace Recovery Models. CoRR Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
2014	A*	`conf`	Robust Estimation of 3D Human Poses from a Single Image. CVPR Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao
2014	J	`jnl`	Robust Estimation of 3D Human Poses from a Single Image. CoRR Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao
2014	—	`conf`	Robust Low-Rank Regularized Regression for Face Recognition with Occlusion. CVPR Workshops Jianjun Qian, Jian Yang, Fanglong Zhang, Zhouchen Lin
2014	A*	`conf`	Robust Subspace Segmentation with Block-Diagonal Prior. CVPR Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan
2014	J	`jnl`	Robust latent low rank representation for subspace clustering. Neurocomputing Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
2014	A*	`conf`	Smooth Representation Clustering. CVPR Han Hu, Zhouchen Lin, Jianjiang Feng, Jie Zhou
2014	J	`jnl`	Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization. CoRR Can-Yi Lu, Zhouchen Lin, Shuicheng Yan
2014	B	`conf`	Tensor LRR based subspace clustering. IJCNN Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin
2014	J	`jnl`	Transform invariant text extraction. Vis. Comput. Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma
2013	—	`conf`	A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank. ECML/PKDD (2) Hongyang Zhang, Zhouchen Lin, Chao Zhang
2013	J	`jnl`	A comparison of typical ℓ Neurocomputing Qin Lyu, Zhouchen Lin, Yiyuan She, Chao Zhang
2013	J	`jnl`	Bases sorting: Generalizing the concept of frequency for over-complete dictionaries. Neurocomputing Chun-Guang Li, Zhouchen Lin, Jun Guo
2013	A*	`conf`	Correlation Adaptive Subspace Segmentation by Trace Lasso. ICCV Can-Yi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2013	A*	`conf`	Correntropy Induced L2 Graph for Robust Subspace Clustering. ICCV Can-Yi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin
2013	J	`jnl`	Fast gradient vector flow computation based on augmented Lagrangian method. Pattern Recognit. Lett. Dongwei Ren, Wangmeng Zuo, Xiaofei Zhao, Zhouchen Lin, David Zhang
2013	J	`jnl`	Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures. Int. J. Comput. Vis. Xiang Ren, Zhouchen Lin
2013	C	`conf`	Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. ACML Risheng Liu, Zhouchen Lin, Zhixun Su
2013	J	`jnl`	Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. CoRR Risheng Liu, Zhouchen Lin, Zhixun Su
2013	A	`conf`	Rectification of Optical Characters as Transform Invariant Low-Rank Textures. ICDAR Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma
2013	J	`jnl`	Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning. Neurocomputing Liansheng Zhuang, Haoyuan Gao, Jiebo Luo, Zhouchen Lin
2013	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2013	J	`jnl`	Toward designing intelligent PDEs for computer vision: An optimal control approach. Image Vis. Comput. Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su
2012	J	`jnl`	A new discriminant subspace analysis approach for multi-class problems. Pattern Recognit. Wenming Zheng, Zhouchen Lin
2012	J	`jnl`	Fixed-Rank Representation for Unsupervised Visual Learning CoRR Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su
2012	A*	`conf`	Fixed-rank representation for unsupervised visual learning. CVPR Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su
2012	A*	`conf`	Geodesic Based Semi-supervised Multi-manifold Feature Extraction. ICDM Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao
2012	J	`jnl`	Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures. CoRR Xiang Ren, Zhouchen Lin
2012	A*	`conf`	Non-negative low rank and sparse graph for semi-supervised learning. CVPR Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu
2011	J	`jnl`	A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration. IEEE Trans. Image Process. Wangmeng Zuo, Zhouchen Lin
2011	J	`jnl`	A Geometric Method for Optimal Design of Color Filter Arrays. IEEE Trans. Image Process. Pengwei Hao, Yan Li, Zhouchen Lin, Eric Dubois
2011	J	`jnl`	Analysis and Improvement of Low Rank Representation for Subspace segmentation CoRR Siming Wei, Zhouchen Lin
2011	J	`jnl`	Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction. IEEE Trans. Knowl. Data Eng. Wei Zhang, Zhouchen Lin, Xiaoou Tang
2011	—	`conf`	Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. NIPS Zhouchen Lin, Risheng Liu, Zhixun Su
2011	J	`jnl`	Penrose Pixels for Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn, Wei Zhang
2011	J	`jnl`	Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering CoRR Risheng Liu, Zhouchen Lin, Siming Wei, Zhixun Su
2011	J	`jnl`	Some Software Packages for Partial SVD Computation CoRR Zhouchen Lin
2011	J	`jnl`	The frequency structure matrix: A representation of color filter arrays. Int. J. Imaging Syst. Technol. Yan Li, Pengwei Hao, Zhouchen Lin
2011	J	`jnl`	Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach CoRR Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su
2010	J	`jnl`	A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms CoRR Zhouchen Lin, Siming Wei
2010	J	`jnl`	A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors. IEEE Trans. Neural Networks Wenming Zheng, Zhouchen Lin, Xiaoou Tang
2010	—	`conf`	Emotion Recognition from Arbitrary View Facial Images. ECCV (6) Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang
2010	J	`jnl`	Feature extraction by learning Lorentzian metric tensor and its extensions. Pattern Recognit. Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
2010	—	`conf`	Learning PDEs for Image Restoration via Optimal Control. ECCV (1) Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su
2010	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation CoRR Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2010	A*	`conf`	Robust Subspace Segmentation by Low-Rank Representation. ICML Guangcan Liu, Zhouchen Lin, Yong Yu
2010	J	`jnl`	The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices. CoRR Zhouchen Lin, Minming Chen, Yi Ma
2010	A*	`conf`	The multiscale competitive code via sparse representation for palmprint verification. CVPR Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, David Zhang
2010	B	`conf`	Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources. DCC Jingjing Fu, Zhouchen Lin, Bing Zeng, Feng Wu
2010	J	`jnl`	Unsupervised Object Segmentation with a Hybrid Graph Model (HGM). IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
2009	A*	`conf`	A novel approach to expression recognition from non-frontal face images. ICCV Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang
2009	B	`conf`	Analysis on Rate-Distortion Performance of Compressive Sensing for Binary Sparse Source. DCC Feng Wu, Jingjing Fu, Zhouchen Lin, Bing Zeng
2009	J	`jnl`	Classification via Minimum Incremental Coding Length. SIAM J. Imaging Sci. John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-Yeung Shum
2009	J	`jnl`	Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis. Pattern Recognit. Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung Tang
2009	J	`jnl`	Kernel Nyström method for light transport. ACM Trans. Graph. Jiaping Wang, Yue Dong, Xin Tong, Zhouchen Lin, Baining Guo
2009	—	`conf`	Lorentzian Discriminant Projection and Its Applications. ACCV (3) Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
2009	J	`jnl`	Multi-output regression on the output manifold. Pattern Recognit. Guangcan Liu, Zhouchen Lin, Yong Yu
2009	—	`conf`	Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification. NIPS Wenming Zheng, Zhouchen Lin
2009	J	`jnl`	Radon Representation-Based Feature Descriptor for Texture Classification. IEEE Trans. Image Process. Guangcan Liu, Zhouchen Lin, Yong Yu
2009	—	`conf`	Refined Exponential Filter with Applications to Image Restoration and Interpolation. ACCV (3) Yanlin Geng, Tong Lin, Zhouchen Lin, Pengwei Hao
2009	—	`ch.`	Signature Sample Synthesis. Encyclopedia of Biometrics Liang Wan, Zhouchen Lin
2009	J	`jnl`	Tensor linear Laplacian discrimination (TLLD) for feature extraction. Pattern Recognit. Wei Zhang, Zhouchen Lin, Xiaoou Tang
2008	A*	`conf`	Classification via semi-Riemannian spaces. CVPR Deli Zhao, Zhouchen Lin, Xiaoou Tang
2008	J	`jnl`	Limits of Learning-Based Superresolution Algorithms. Int. J. Comput. Vis. Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung Tang
2008	J	`jnl`	Modeling and rendering of heterogeneous translucent materials using the diffusion equation. ACM Trans. Graph. Jiaping Wang, Shuang Zhao, Xin Tong, Stephen Lin, Zhouchen Lin, Yue Dong, Baining Guo, Heung-Yeung Shum
2008	J	`jnl`	Perceptual image preview. Multim. Syst. Liang Wan, Wei Feng, Zhouchen Lin, Tien-Tsin Wong, Zhi-Qiang Liu
2007	—	`conf`	Classification via Minimum Incremental Coding Length (MICL). NIPS John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum
2007	A*	`conf`	Contextual Distance for Data Perception. ICCV Deli Zhao, Zhouchen Lin, Xiaoou Tang
2007	J	`jnl`	High Resolution Animated Scenes from Stills. IEEE Trans. Vis. Comput. Graph. Zhouchen Lin, Lifeng Wang, Yunbo Wang, Sing Bing Kang, Tian Fang
2007	A*	`conf`	Laplacian PCA and Its Applications. ICCV Deli Zhao, Zhouchen Lin, Xiaoou Tang
2007	A*	`conf`	Limits of Learning-Based Superresolution Algorithms. ICCV Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung Tang
2007	A*	`conf`	Linear Laplacian Discrimination for Feature Extraction. CVPR Deli Zhao, Zhouchen Lin, Rong Xiao, Xiaoou Tang
2007	A*	`conf`	Penrose Pixels Super-Resolution in the Detector Layout Domain. ICCV Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn
2007	J	`jnl`	Style-preserving English handwriting synthesis. Pattern Recognit. Zhouchen Lin, Liang Wan
2006	—	`conf`	Detecting Doctored JPEG Images Via DCT Coefficient Analysis. ECCV (3) Junfeng He, Zhouchen Lin, Lifeng Wang, Xiaoou Tang
2006	—	`conf`	Real-time rendering of realistic rain. SIGGRAPH Sketches Lifeng Wang, Zhouchen Lin, Tian Fang, Xu Yang, Xuan Yu, Sing Bing Kang
2006	J	`jnl`	Response to the Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'. IEEE Trans. Pattern Anal. Mach. Intell. Zhouchen Lin, Heung-Yeung Shum
2006	J	`jnl`	Rule-based cleanup of on-line English ink notes. Pattern Recognit. Zhouchen Lin, Rongrong Wang, Heung-Yeung Shum
2006	J	`jnl`	Table Detection in Online Ink Notes. IEEE Trans. Pattern Anal. Mach. Intell. Zhouchen Lin, Junfeng He, Zhicheng Zhong, Rongrong Wang, Heung-Yeung Shum
2005	—	`conf`	Detecting Doctored Images Using Camera Response Normality and Consistency. CVPR (1) Zhouchen Lin, Rongrong Wang, Xiaoou Tang, Heung-Yeung Shum
2005	J	`jnl`	Optimal Polynomial Filters. J. Graph. Tools Zhouchen Lin, Hai-Tao Chen, Heung-Yeung Shum, Jian Wang
2005	J	`jnl`	Prefiltering Two-Dimensional Polygons without Clipping. J. Graph. Tools Zhouchen Lin, Hai-Tao Chen, Heung-Yeung Shum, Jian Wang
2004	J	`jnl`	A Geometric Analysis of Light Field Rendering. Int. J. Comput. Vis. Zhouchen Lin, Heung-Yeung Shum
2004	J	`jnl`	Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation. IEEE Trans. Pattern Anal. Mach. Intell. Zhouchen Lin, Heung-Yeung Shum
2003	J	`jnl`	Correction and rectification of light fields. Comput. Graph. Ke Deng, Lifeng Wang, Zhouchen Lin, Tao Feng, Zhidong Deng
2002	J	`jnl`	Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction. Int. J. Comput. Vis. Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum
2001	—	`conf`	On the Fundamental Limits of Reconstruction-Based Super-Resolution Algorithms. CVPR (1) Zhouchen Lin, Heung-Yeung Shum
2001	—	`conf`	Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction. CVPR (1) Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum
2000	A*	`conf`	On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption. CVPR Zhouchen Lin, Heung-Yeung Shum
1999	Misc	`conf`	An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation. ICIAP Zhouchen Lin, Qingyun Shi