Zhouchen Lin

According to our database, Zhouchen Lin authored at least 319 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Tensor Recovery With Weighted Tensor Average Rank.

Xiaoqin Zhang, Jingjing Zheng, Li Zhao, Zhengyuan Zhou, Zhouchen Lin

IEEE Trans. Neural Networks Learn. Syst., January, 2024

DIGIC: Domain Generalizable Imitation Learning by Causal Discovery.

Yang Chen, Yitao Liang, Zhouchen Lin

CoRR, 2024

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

CoRR, 2024

On the O(×d/T^1/4) Convergence Rate of RMSProp and Its Momentum Extension Measured by 𝓁_l Norm: Better Dependence on the Dimension.

Huan Li, Zhouchen Lin

CoRR, 2024

LION: Implicit Vision Prompt Tuning.

Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Optimization-inspired manual architecture design and neural architecture search.

Yibo Yang, Zhengyang Shen, Huan Li, Zhouchen Lin

Sci. China Inf. Sci., November, 2023

Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework.

Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

SPIDE: A purely spike-based method for training feedback spiking neural networks.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

Neural Networks, April, 2023

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models.

Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Equilibrium Image Denoising With Implicit Differentiation.

Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin

IEEE Trans. Image Process., 2023

Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity.

Huan Li, Zhouchen Lin

J. Mach. Learn. Res., 2023

Invertible Rescaling Network and Its Extensions.

Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu

Int. J. Comput. Vis., 2023

Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure.

Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang

CoRR, 2023

CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity.

Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-Chun Zhu

CoRR, 2023

ShadowNet for Data-Centric Quantum System Learning.

Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao

CoRR, 2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants.

Yibo Yang, Haobo Yuan, Xiangtai Li, Jianlong Wu, Lefei Zhang, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao, Bernard Ghanem

CoRR, 2023

Task-Robust Pre-Training for Worst-Case Downstream Adaptation.

Jianghui Wang, Cheng Yang, Xingyu Xie, Cong Fang, Zhouchen Lin

CoRR, 2023

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models.

Yi Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang

CoRR, 2023

Policy Representation via Diffusion Probability Model for Reinforcement Learning.

Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, Zhouchen Lin

CoRR, 2023

Visual Tuning.

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

CoRR, 2023

LION: Implicit Vision Prompt Tuning.

Haixin Wang, Jianlong Chang, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian

CoRR, 2023

Provable Particle-based Primal-Dual Algorithm for Mixed Nash Equilibrium.

Shihong Ding, Hanze Dong, Cong Fang, Zhouchen Lin, Tong Zhang

CoRR, 2023

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.

Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Dacheng Tao

CoRR, 2023

Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective.

Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Task-Robust Pre-Training for Worst-Case Downstream Adaptation.

Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GEQ: Gaussian Kernel Inspired Equilibrium Models.

Mingjie Li, Yisen Wang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization.

Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gradient Descent Optimizes Normalization-Free ResNets.

Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin

Proceedings of the International Joint Conference on Neural Networks, 2023

KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach.

Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States.

Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks.

Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Message Passing Perspective on Learning Dynamics of Contrastive Learning.

Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks.

Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zeroth-order Optimization with Weak Dimension Dependency.

Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

On the Lower Bound of Minimizing Polyak-Łojasiewicz functions.

Pengyun Yue, Cong Fang, Zhouchen Lin

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Global Convergence of Over-parameterized Deep Equilibrium Models.

Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.

Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification.

Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.

Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Training Neural Networks by Lifted Proximal Operator Machines.

Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Training much deeper spiking neural networks with a small number of time-steps.

Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

Neural Networks, 2022

Under-bagging Nearest Neighbors for Imbalanced Classification.

Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin

J. Mach. Learn. Res., 2022

Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization.

Huan Li, Zhouchen Lin, Yongchun Fang

J. Mach. Learn. Res., 2022

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models.

Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

CoRR, 2022

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction.

Yang Hu, Xiyuan Wang, Zhouchen Lin, Pan Li, Muhan Zhang

CoRR, 2022

SymNMF-Net for The Symmetric NMF Problem.

Mingjie Li, Hao Kong, Zhouchen Lin

CoRR, 2022

Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

Yibo Yang, Liang Xie, Shixiang Chen, Xiangtai Li, Zhouchen Lin, Dacheng Tao

CoRR, 2022

Towards Theoretically Inspired Neural Initialization Optimization.

Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption.

Haotong Yang, Zhouchen Lin, Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Training Through Time for Spiking Neural Networks.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs.

Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

G²CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters.

Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

CerDEQ: Certifiable Deep Equilibrium Model.

Mingjie Li, Yisen Wang, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Optimization-Induced Graph Implicit Nonlinear Diffusion.

Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε^-7/4) Complexity.

Huan Li, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots.

Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Optimization inspired Multi-Branch Equilibrium Models.

Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap.

Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training.

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation.

Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Convolutional Transformer Networks for Epileptic Seizure Detection.

Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium.

Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin

Proceedings of the IEEE International Conference on Big Data, 2022

Alternating Direction Method of Multipliers for Machine Learning

Zhouchen Lin, Huan Li, Cong Fang

Springer, ISBN: 978-981-16-9839-2, 2022

2021

Towards Efficient Scene Understanding via Squeeze Reasoning.

Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin

IEEE Trans. Image Process., 2021

Reconstruction regularized low-rank subspace learning for cross-modal retrieval.

Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha

Pattern Recognit., 2021

Tensor Low-Rank Representation for Data Recovery and Clustering.

Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling.

Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Zhouchen Lin, Chunhong Pan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.

Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Tensor Q-rank: new data dependent definition of tensor rank.

Hao Kong, Canyi Lu, Zhouchen Lin

Mach. Learn., 2021

Histogram Transform Ensembles for Large-scale Regression.

Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen

J. Mach. Learn. Res., 2021

Recurrent learning with clique structures for prostate sparse-view CT artifacts reduction.

Tiancheng Shen, Yibo Yang, Zhouchen Lin, Mingbin Zhang

IET Image Process., 2021

Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness.

Ke Sun, Mingjie Li, Zhouchen Lin

CoRR, 2021

Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration.

Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin

CoRR, 2021

Gradient Boosted Binary Histogram Ensemble for Large-scale Regression.

Hanyuan Hang, Tao Huang, Yuchao Cai, Hanfang Yang, Zhouchen Lin

CoRR, 2021

Optimization Induced Equilibrium Networks.

Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin

CoRR, 2021

PDO-eS²CNNs: Partial Differential Operator Based Equivariant Spherical CNNs.

Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma

CoRR, 2021

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization.

Huan Li, Zhouchen Lin

CoRR, 2021

Long-Tail Hashing.

Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin, Dell Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Reparameterized Sampling for Generative Adversarial Networks.

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State.

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dissecting the Diffusion Process in Linear Graph Convolutional Networks.

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Residual Relaxation for Multi-view Representation Learning.

Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gauge Equivariant Transformer.

Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Equivariant Network.

Lingshen He, Yuxuan Chen, Zhengyang Shen, Yiming Dong, Yisen Wang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Training Implicit Models.

Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection.

Nan Ke, Tong Lin, Zhouchen Lin

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Leveraged Weighted Loss for Partial Label Learning.

Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

Uncertainty Principles of Encoding GANs.

Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha

Proceedings of the 38th International Conference on Machine Learning, 2021

GBHT: Gradient Boosting Histogram Transform for Density Estimation.

Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models.

Ke Sun, Zhanxing Zhu, Zhouchen Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

Is Attention Better Than Matrix Decomposition?

Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

Graph Contrastive Clustering.

Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search.

Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation.

Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs.

Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding.

Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters.

Huan Li, Cong Fang, Wotao Yin, Zhouchen Lin

IEEE Trans. Signal Process., 2020

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.

Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen

IEEE Trans. Image Process., 2020

Revisiting EXTRA for Smooth Distributed Optimization.

Huan Li, Zhouchen Lin

SIAM J. Optim., 2020

Accelerated First-Order Optimization Algorithms for Machine Learning.

Huan Li, Cong Fang, Zhouchen Lin

Proc. IEEE, 2020

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm.

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2020

On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems.

Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Provable accelerated gradient method for nonconvex low rank optimization.

Huan Li, Zhouchen Lin

Mach. Learn., 2020

On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent.

Huan Li, Zhouchen Lin

J. Mach. Learn. Res., 2020

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision.

Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo

CoRR, 2020

Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization.

Huan Li, Zhouchen Lin, Yongchun Fang

CoRR, 2020

Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data.

Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu

CoRR, 2020

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding.

Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Maximum-and-Concatenation Networks.

Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions.

Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma

Proceedings of the 37th International Conference on Machine Learning, 2020

Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability.

Mingjie Li, Lingshen He, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

Boosted Histogram Transform for Regression.

Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

Invertible Image Rescaling.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Semantic Segmentation via Decoupled Body and Edge Supervision.

Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong

Proceedings of the Computer Vision - ECCV 2020, 2020

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation.

Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families.

Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation.

Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering.

Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes.

Ke Sun, Zhouchen Lin, Zhanxing Zhu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild.

Yueying Kao, Weiming Li, Qiang Wang, Zhouchen Lin, Wooshik Kim, Sunghoon Hong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Accelerated Optimization for Machine Learning - First-Order Algorithms

Zhouchen Lin, Huan Li, Cong Fang

Springer, ISBN: 978-981-15-2909-2, 2020

2019

ℓ₁-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.

Wenming Zheng, Cheng Lu, Zhouchen Lin, Tong Zhang, Zhen Cui, Wankou Yang

IEEE Trans. Neural Networks Learn. Syst., 2019

The Augmented Homogeneous Coordinates Matrix-Based Projective Mismatch Removal for Partial-Duplicate Image Search.

Yan Zheng, Zhouchen Lin

IEEE Trans. Image Process., 2019

Essential Tensor Learning for Multi-View Spectral Clustering.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

IEEE Trans. Image Process., 2019

Subspace Clustering Under Complex Noise.

Baohua Li, Huchuan Lu, Ying Zhang, Zhouchen Lin, Wei Wu

IEEE Trans. Circuits Syst. Video Technol., 2019

Robust 3D Human Pose Estimation from Single Images or Video Sequences.

Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Subspace Clustering by Block Diagonal Representation.

Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2019

ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition.

Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang

Neural Networks, 2019

Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis.

Huan Li, Zhouchen Lin

J. Sci. Comput., 2019

Two-weight and three-weight linear codes based on Weil sums.

Gaopeng Jian, Zhouchen Lin, Rongquan Feng

Finite Fields Their Appl., 2019

Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy.

Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu

CoRR, 2019

Tensor Q-Rank: A New Data Dependent Tensor Rank.

Hao Kong, Zhouchen Lin

CoRR, 2019

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks.

Ke Sun, Zhanxing Zhu, Zhouchen Lin

CoRR, 2019

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN.

Ke Sun, Zhanxing Zhu, Zhouchen Lin

CoRR, 2019

Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors.

Ke Sun, Zhanxing Zhu, Zhouchen Lin

CoRR, 2019

Virtual Adversarial Training on Graph Convolutional Networks in Node Classification.

Ke Sun, Zhouchen Lin, Hantao Guo, Zhanxing Zhu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Neural Ordinary Differential Equations with Envolutionary Weights.

Lingshen He, Xingyu Xie, Zhouchen Lin

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal.

Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Differentiable Linearized ADMM.

Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Comprehensive Correlation Mining for Image Clustering.

Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Expectation-Maximization Attention Networks for Semantic Segmentation.

Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Convolutional Subspace Clustering Network.

Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.

Cong Fang, Zhouchen Lin, Tong Zhang

Proceedings of the Conference on Learning Theory, 2019

Lifted Proximal Operator Machines.

Jia Li, Cong Fang, Zhouchen Lin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Tensor Factorization for Low-Rank Tensor Completion.

Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang

IEEE Trans. Image Process., 2018

Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding.

Xiang Zhang, Jiarui Sun, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao

IEEE Trans. Image Process., 2018

Binary Multidimensional Scaling for Hashing.

Yameng Huang, Zhouchen Lin

IEEE Trans. Image Process., 2018

Low-Rank Matrix Recovery Via Robust Outlier Estimation.

Xiaojie Guo, Zhouchen Lin

IEEE Trans. Image Process., 2018

Optimized projections for compressed sensing via direct mutual coherence minimization.

Canyi Lu, Huan Li, Zhouchen Lin

Signal Process., 2018

On the Applications of Robust PCA in Image and Video Processing.

Thierry Bouwmans, Sajid Javed, Hongyang Zhang, Zhouchen Lin, Ricardo Otazo

Proc. IEEE, 2018

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications.

Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2018

A Unified Alternating Direction Method of Multipliers by Majorization Minimization.

Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust Matrix Factorization by Majorization Minimization.

Zhouchen Lin, Chen Xu, Hongbin Zha

IEEE Trans. Pattern Anal. Mach. Intell., 2018

t-Schatten-p Norm for Low-Rank Tensor Recovery.

Hao Kong, Xingyu Xie, Zhouchen Lin

IEEE J. Sel. Top. Signal Process., 2018

Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications.

Thierry Bouwmans, Namrata Vaswani, Paul Rodríguez, René Vidal, Zhouchen Lin

IEEE J. Sel. Top. Signal Process., 2018

Demosaicking based on channel-correlation adaptive dictionary learning.

Chen-Yan Bai, Jia Li, Zhouchen Lin

J. Electronic Imaging, 2018

Dictionary learning with structured noise.

Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang

Neurocomputing, 2018

Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation.

Cong Fang, Yameng Huang, Zhouchen Lin

CoRR, 2018

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution.

Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator.

Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements.

Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Alternating Multi-bit Quantization for Recurrent Neural Networks.

Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha

Proceedings of the 6th International Conference on Learning Representations, 2018

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining.

Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha

Proceedings of the Computer Vision - ECCV 2018, 2018

Convolutional Neural Networks With Alternately Updated Clique.

Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Optimization Algorithm Inspired Deep Neural Network Structure Design.

Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Construction of Incoherent Dictionaries via Direct Babel Function Minimization.

Huan Li, Zhouchen Lin

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis.

Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Label Information Guided Graph Construction for Semi-Supervised Learning.

Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma

IEEE Trans. Image Process., 2017

Bilevel Model-Based Discriminative Dictionary Learning for Recognition.

Pan Zhou, Chao Zhang, Zhouchen Lin

IEEE Trans. Image Process., 2017

The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search.

Yang Lin, Zhouchen Lin, Hongbin Zha

IEEE Trans. Image Process., 2017

Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking.

Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu

IEEE Trans. Image Process., 2017

Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels.

Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu

IEEE Trans. Image Process., 2017

Feature learning via partial differential equation with applications to face recognition.

Cong Fang, Zhenyu Zhao, Pan Zhou, Zhouchen Lin

Pattern Recognit., 2017

Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition.

Jianlong Wu, Zhouchen Lin, Wenming Zheng, Hongbin Zha

Neurocomputing, 2017

Efficient tree-structured SfM by RANSAC generalized Procrustes analysis.

Yisong Chen, Antoni B. Chan, Zhouchen Lin, Kenji Suzuki, Guoping Wang

Comput. Vis. Image Underst., 2017

Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers.

Cong Fang, Feng Cheng, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Factorization for projective and metric reconstruction via truncated nuclear norm.

Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery.

Xiaojie Guo, Zhouchen Lin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation.

Xiang Zhang, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao

Proceedings of the 2017 Data Compression Conference, 2017

Fast Compressive Phase Retrieval under Bounded Noise.

Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Unified Convex Surrogate for the Schatten-<i>p</i> Norm.

Chen Xu, Zhouchen Lin, Hongbin Zha

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization.

Cong Fang, Zhouchen Lin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Integrated Low-Rank-Based Discriminative Feature Learning for Recognition.

Pan Zhou, Zhouchen Lin, Chao Zhang

IEEE Trans. Neural Networks Learn. Syst., 2016

Tensor LRR and Sparse Coding-Based Subspace Clustering.

Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong

IEEE Trans. Neural Networks Learn. Syst., 2016

Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis.

Hongyang Zhang, Zhouchen Lin, Chao Zhang

IEEE Trans. Inf. Theory, 2016

Convex Sparse Spectral Clustering: Single-View to Multi-View.

Canyi Lu, Shuicheng Yan, Zhouchen Lin

IEEE Trans. Image Process., 2016

Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm.

Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin

IEEE Trans. Image Process., 2016

Automatic Design of Color Filter Arrays in the Frequency Domain.

Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu

IEEE Trans. Image Process., 2016

Transformation invariant subspace clustering.

Qi Li, Zhenan Sun, Zhouchen Lin, Ran He, Tieniu Tan

Pattern Recognit., 2016

Laplacian Regularized Low-Rank Representation and Its Applications.

Ming Yin, Junbin Gao, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis.

Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers.

Zhouchen Lin, Yameng Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Penrose high-dynamic-range imaging.

Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu

J. Electronic Imaging, 2016

Locality-preserving low-rank representation for graph construction from nonlinear manifolds.

Liansheng Zhuang, Jingjing Wang, Zhouchen Lin, Allen Y. Yang, Yi Ma, Nenghai Yu

Neurocomputing, 2016

A fast alternating time-splitting approach for learning partial differential equations.

Zhenyu Zhao, Zhouchen Lin, Yi Wu

Neurocomputing, 2016

Globally Variance-Constrained Sparse Representation for Image Set Compression.

Xiang Zhang, Jiarui Sun, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao

CoRR, 2016

A Unified Convex Surrogate for the Schatten-$p$ Norm.

Chen Xu, Zhouchen Lin, Hongbin Zha

CoRR, 2016

Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors.

Yuqing Hou, Zhouchen Lin, Jin-ge Yao

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Multi-view common space learning for emotion recognition in the wild.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks.

Li Shen, Zhouchen Lin, Qingming Huang

Proceedings of the Computer Vision - ECCV 2016, 2016

Robust Kernel Estimation with Outliers Handling for Image Deblurring.

Jin-shan Pan, Zhouchen Lin, Zhixun Su, Ming-Hsuan Yang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization.

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization.

Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting.

Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Signature Sample Synthesis.

Liang Wan, Zhouchen Lin

Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features.

Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu

IEEE Trans. Image Process., 2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.

Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo

IEEE Trans. Image Process., 2015

Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification.

Li Shen, Gang Sun, Qingming Huang, Shuhui Wang, Zhouchen Lin, Enhua Wu

IEEE Trans. Image Process., 2015

Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization.

Canyi Lu, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Image Process., 2015

Penrose Demosaicking.

Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu, Yen-Wei Chen

IEEE Trans. Image Process., 2015

Robust nuclear norm regularized regression for face recognition with occlusion.

Jianjun Qian, Lei Luo, Jian Yang, Fanlong Zhang, Zhouchen Lin

Pattern Recognit., 2015

Relations Among Some Low-Rank Subspace Recovery Models.

Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao

Neural Comput., 2015

Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning.

Zhouchen Lin, Risheng Liu, Huan Li

Mach. Learn., 2015

A robust hybrid method for text detection in natural scenes by learning-based partial differential equations.

Zhenyu Zhao, Cong Fang, Zhouchen Lin, Yi Wu

Neurocomputing, 2015

Learning Deep Convolutional Neural Networks for Places2 Scene Recognition.

Li Shen, Zhouchen Lin, Qingming Huang

CoRR, 2015

Image tag completion and refinement by subspace clustering and matrix completion.

Yuqing Hou, Zhouchen Lin

Proceedings of the 2015 Visual Communications and Image Processing, 2015

Accelerated Proximal Gradient Methods for Nonconvex Programming.

Huan Li, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Determining step sizes in geometric optimization algorithms.

Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang

Proceedings of the IEEE International Symposium on Information Theory, 2015

Adaptive Sharing for Image Classification.

Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, Enhua Wu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multiple Models Fusion for Emotion Recognition in the Wild.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning.

Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Subspace clustering by Mixture of Gaussian Regression.

Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm.

Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds.

Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Generalized Singular Value Thresholding.

Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Transform invariant text extraction.

Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma

Vis. Comput., 2014

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction.

Wenming Zheng, Zhouchen Lin, Haixian Wang

IEEE Trans. Neural Networks Learn. Syst., 2014

A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning.

Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao

IEEE Trans. Image Process., 2014

Learning Markov random walks for robust subspace clustering and estimation.

Risheng Liu, Zhouchen Lin, Zhixun Su

Neural Networks, 2014

Robust latent low rank representation for subspace clustering.

Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao

Neurocomputing, 2014

Linear time Principal Component Pursuit and its extensions using ℓ₁ filtering.

Risheng Liu, Zhouchen Lin, Zhixun Su, Junbin Gao

Neurocomputing, 2014

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features.

Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma

CoRR, 2014

Tensor LRR based subspace clustering.

Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Low Rank Global Geometric Consistency for Partial-Duplicate Image Search.

Li Yang, Yang Lin, Zhouchen Lin, Hongbin Zha

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

L1-norm global geometric consistency for partial-duplicate image retrieval.

Yang Lin, Chen Xu, Li Yang, Zhouchen Lin, Hongbin Zha

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Robust Estimation of 3D Human Poses from a Single Image.

Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Low-Rank Regularized Regression for Face Recognition with Occlusion.

Jianjun Qian, Jian Yang, Fanglong Zhang, Zhouchen Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Generalized Nonconvex Nonsmooth Low-Rank Minimization.

Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Adaptive Partial Differential Equation Learning for Visual Saliency Detection.

Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Smooth Representation Clustering.

Han Hu, Zhouchen Lin, Jianjiang Feng, Jie Zhou

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Subspace Segmentation with Block-Diagonal Prior.

Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization.

Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Fast gradient vector flow computation based on augmented Lagrangian method.

Dongwei Ren, Wangmeng Zuo, Xiaofei Zhao, Zhouchen Lin, David Zhang

Pattern Recognit. Lett., 2013

Robust Recovery of Subspace Structures by Low-Rank Representation.

Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Toward designing intelligent PDEs for computer vision: An optimal control approach.

Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su

Image Vis. Comput., 2013

Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning.

Liansheng Zhuang, Haoyuan Gao, Jiebo Luo, Zhouchen Lin

Neurocomputing, 2013

A comparison of typical ℓ_p minimization algorithms.

Qin Lyu, Zhouchen Lin, Yiyuan She, Chao Zhang

Neurocomputing, 2013

Bases sorting: Generalizing the concept of frequency for over-complete dictionaries.

Chun-Guang Li, Zhouchen Lin, Jun Guo

Neurocomputing, 2013

Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures.

Xiang Ren, Zhouchen Lin

Int. J. Comput. Vis., 2013

A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank.

Hongyang Zhang, Zhouchen Lin, Chao Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Rectification of Optical Characters as Transform Invariant Low-Rank Textures.

Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Correntropy Induced L2 Graph for Robust Subspace Clustering.

Can-Yi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin

Proceedings of the IEEE International Conference on Computer Vision, 2013

Correlation Adaptive Subspace Segmentation by Trace Lasso.

Can-Yi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

Proceedings of the IEEE International Conference on Computer Vision, 2013

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning.

Risheng Liu, Zhouchen Lin, Zhixun Su

Proceedings of the Asian Conference on Machine Learning, 2013

2012

A new discriminant subspace analysis approach for multi-class problems.

Wenming Zheng, Zhouchen Lin

Pattern Recognit., 2012

Geodesic Based Semi-supervised Multi-manifold Feature Extraction.

Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Non-negative low rank and sparse graph for semi-supervised learning.

Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fixed-rank representation for unsupervised visual learning.

Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction.

Wei Zhang, Zhouchen Lin, Xiaoou Tang

IEEE Trans. Knowl. Data Eng., 2011

A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration.

Wangmeng Zuo, Zhouchen Lin

IEEE Trans. Image Process., 2011

A Geometric Method for Optimal Design of Color Filter Arrays.

Pengwei Hao, Yan Li, Zhouchen Lin, Eric Dubois

IEEE Trans. Image Process., 2011

Penrose Pixels for Super-Resolution.

Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn, Wei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

The frequency structure matrix: A representation of color filter arrays.

Yan Li, Pengwei Hao, Zhouchen Lin

Int. J. Imaging Syst. Technol., 2011

Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering

Risheng Liu, Zhouchen Lin, Siming Wei, Zhixun Su

CoRR, 2011

Some Software Packages for Partial SVD Computation

Zhouchen Lin

CoRR, 2011

Analysis and Improvement of Low Rank Representation for Subspace segmentation

Siming Wei, Zhouchen Lin

CoRR, 2011

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation.

Zhouchen Lin, Risheng Liu, Zhixun Su

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors.

Wenming Zheng, Zhouchen Lin, Xiaoou Tang

IEEE Trans. Neural Networks, 2010

Feature extraction by learning Lorentzian metric tensor and its extensions.

Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang

Pattern Recognit., 2010

Unsupervised Object Segmentation with a Hybrid Graph Model (HGM).

Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang

IEEE Trans. Pattern Anal. Mach. Intell., 2010

A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms

Zhouchen Lin, Siming Wei

CoRR, 2010

The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices.

Zhouchen Lin, Minming Chen, Yi Ma

CoRR, 2010

Robust Subspace Segmentation by Low-Rank Representation.

Guangcan Liu, Zhouchen Lin, Yong Yu

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Emotion Recognition from Arbitrary View Facial Images.

Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang

Proceedings of the Computer Vision - ECCV 2010, 2010

Learning PDEs for Image Restoration via Optimal Control.

Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su

Proceedings of the Computer Vision, 2010

Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources.

Jingjing Fu, Zhouchen Lin, Bing Zeng, Feng Wu

Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

The multiscale competitive code via sparse representation for palmprint verification.

Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, David Zhang

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Signature Sample Synthesis.

Liang Wan, Zhouchen Lin

Proceedings of the Encyclopedia of Biometrics, 2009

Kernel Nyström method for light transport.

Jiaping Wang, Yue Dong, Xin Tong, Zhouchen Lin, Baining Guo

ACM Trans. Graph., 2009

Radon Representation-Based Feature Descriptor for Texture Classification.

Guangcan Liu, Zhouchen Lin, Yong Yu

IEEE Trans. Image Process., 2009

Classification via Minimum Incremental Coding Length.

John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-Yeung Shum

SIAM J. Imaging Sci., 2009

Tensor linear Laplacian discrimination (TLLD) for feature extraction.

Wei Zhang, Zhouchen Lin, Xiaoou Tang

Pattern Recognit., 2009

Multi-output regression on the output manifold.

Guangcan Liu, Zhouchen Lin, Yong Yu

Pattern Recognit., 2009

Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis.

Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung Tang

Pattern Recognit., 2009

Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification.

Wenming Zheng, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A novel approach to expression recognition from non-frontal face images.

Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Analysis on Rate-Distortion Performance of Compressive Sensing for Binary Sparse Source.

Feng Wu, Jingjing Fu, Zhouchen Lin, Bing Zeng

Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

Lorentzian Discriminant Projection and Its Applications.

Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou

Proceedings of the Computer Vision, 2009

Refined Exponential Filter with Applications to Image Restoration and Interpolation.

Yanlin Geng, Tong Lin, Zhouchen Lin, Pengwei Hao

Proceedings of the Computer Vision, 2009

2008

Modeling and rendering of heterogeneous translucent materials using the diffusion equation.

Jiaping Wang, Shuang Zhao, Xin Tong, Stephen Lin, Zhouchen Lin, Yue Dong, Baining Guo, Heung-Yeung Shum

ACM Trans. Graph., 2008

Perceptual image preview.

Liang Wan, Wei Feng, Zhouchen Lin, Tien-Tsin Wong, Zhi-Qiang Liu

Multim. Syst., 2008

Limits of Learning-Based Superresolution Algorithms.

Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung Tang

Int. J. Comput. Vis., 2008

Classification via semi-Riemannian spaces.

Deli Zhao, Zhouchen Lin, Xiaoou Tang

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

High Resolution Animated Scenes from Stills.

Zhouchen Lin, Lifeng Wang, Yunbo Wang, Sing Bing Kang, Tian Fang

IEEE Trans. Vis. Comput. Graph., 2007

Style-preserving English handwriting synthesis.

Zhouchen Lin, Liang Wan

Pattern Recognit., 2007

Classification via Minimum Incremental Coding Length (MICL).

John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Laplacian PCA and Its Applications.

Deli Zhao, Zhouchen Lin, Xiaoou Tang

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Contextual Distance for Data Perception.

Deli Zhao, Zhouchen Lin, Xiaoou Tang

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Penrose Pixels Super-Resolution in the Detector Layout Domain.

Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Linear Laplacian Discrimination for Feature Extraction.

Deli Zhao, Zhouchen Lin, Rong Xiao, Xiaoou Tang

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Rule-based cleanup of on-line English ink notes.

Zhouchen Lin, Rongrong Wang, Heung-Yeung Shum

Pattern Recognit., 2006

Response to the Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'.

Zhouchen Lin, Heung-Yeung Shum

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Table Detection in Online Ink Notes.

Zhouchen Lin, Junfeng He, Zhicheng Zhong, Rongrong Wang, Heung-Yeung Shum

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Real-time rendering of realistic rain.

Lifeng Wang, Zhouchen Lin, Tian Fang, Xu Yang, Xuan Yu, Sing Bing Kang

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

Detecting Doctored JPEG Images Via DCT Coefficient Analysis.

Junfeng He, Zhouchen Lin, Lifeng Wang, Xiaoou Tang

Proceedings of the Computer Vision, 2006

2005

Optimal Polynomial Filters.

Zhouchen Lin, Hai-Tao Chen, Heung-Yeung Shum, Jian Wang

J. Graph. Tools, 2005

Prefiltering Two-Dimensional Polygons without Clipping.

Zhouchen Lin, Hai-Tao Chen, Heung-Yeung Shum, Jian Wang

J. Graph. Tools, 2005

Detecting Doctored Images Using Camera Response Normality and Consistency.

Zhouchen Lin, Rongrong Wang, Xiaoou Tang, Heung-Yeung Shum

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation.

Zhouchen Lin, Heung-Yeung Shum

IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Geometric Analysis of Light Field Rendering.

Zhouchen Lin, Heung-Yeung Shum

Int. J. Comput. Vis., 2004

2003

Correction and rectification of light fields.

Ke Deng, Lifeng Wang, Zhouchen Lin, Tao Feng, Zhidong Deng

Comput. Graph., 2003

2002

Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction.

Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum

Int. J. Comput. Vis., 2002

2001

On the Fundamental Limits of Reconstruction-Based Super-Resolution Algorithms.

Zhouchen Lin, Heung-Yeung Shum

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption.

Zhouchen Lin, Heung-Yeung Shum

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation.

Zhouchen Lin, Qingyun Shi

Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999