百晓学者学者目录

林宙辰

教授，北京大学

精选作品

期刊论文

2026

大模型参数高效微调方法综述:技术、趋势与挑战

唐岸达，林宙辰

《自动化学报》

2026

PRISM: Parallel Residual Iterative Sequence Model

Jie Jiang, Ke Cheng, Xin Xu, Mengyang Pang, Tianhao Lu, Jiaheng Li, Yue Liu, Yuan Wang, Jun Zhang, Huan Yu, Zhouchen Lin

arXiv.org

DOI

2026

MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

Xu-Kai Wang, Xuan-Bo Liu, Ming-Rui Chen, Haitian Zhong, Xuan-Lin Yang, Bo-Han Zeng, Jin-Bo Hu, Hao Liang, Jun-Bo Niu, Xu-Chen Li, Ruitao Wu, Rui-Chuan An, Yang Shi, Liu Liu, Qiang Liu, Zhouchen Lin, Xu-Yao Zhang, Wen-Tao Zhang, Bin Dong

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification

Lexiang Hu, Youze Xue, Dian Li, Gang Liu, Zhouchen Lin

arXiv.org

DOI

2026

ShadowNet for Data-Centric Quantum System Learning

Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, David A. Clifton, Bernard Ghanem, Dacheng Tao

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

Beyond representational alignment with brain-guided language models for robust reasoning

Mingqing Xiao, Kai Du, Zhouchen Lin

Nature Machine Intelligence

DOI

2026

Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function

Xiang Li, Yanghao Xiao, Chunyuan Zheng, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

Debiased Recommendation Beyond the Positive Propensity Assumption

Yanghao Xiao, Hao Wang, Xiang Li, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

User Activity Modeling under Inflated Distribution

Xiang Li, Zhao-Yu Zhang, Chunyuan Zheng, Qingying Chen, Huiyou Jiang, Haoxuan Li, Zhouchen Lin

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

On the Limitations and Capabilities of Position Embeddings for Length Generalization

Yang Chen, Yitao Liang, Zhouchen Lin

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

LIKQA: Lightweight Image Data Quality Assessment via Iterative Optimization and Kan-Based Models

Zhen Li, Wenyang Gao, Jiaxi Wang, Leike An, Shuai Chen, Jibin Wang, Zihao Zhao, Hui Li, Zhouchen Lin

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

Uplift Modeling with Delayed Feedback: Identifiability and Algorithms

Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li, Zhouchen Lin

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Enhanced Semantic Alignment in Transformer Tracking via Position Learning and Force-Directed Attention

Mingyu Cao, Haotian Wang, Haoxuan Li, Wanrong Huang, Yang Shi, Yanghao Xiao, Wenjing Yang, Long Lan, Huibin Tan, Zhouchen Lin

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

LION优化器的收敛速度分析

董一鸣，李欢，林宙辰

《计算机学报》

2025

Under-bagging nearest neighbors for long-tailed regression

H. Hang, Hongwei Wen, Zhouchen Lin

Big Data & Information Analytics

DOI

2025

Human structure modeling for video-based person re-identification without body-part labels

Haotian Chen, Jian-Yuan Guo, Chao Zhang, Zhouchen Lin

Big Data & Information Analytics

DOI

2025

Learning nonseparable sparse regularizers via multivariate activation functions

Xin Xu, Zhouchen Lin

Neurocomputing

DOI

2025

AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks

Jianlong Chang, Haixin Wang, Zhiyuan Dang, Li Huang, Zhiyu Wang, Ruo-Qi Cao, Shihao Piao, Dong-Zhe Li, Dianyu Gao, Dongsheng Wang, Yin Li, Jinan Sun, Lu Fang, Zhouchen Lin

arXiv.org

DOI

2025

A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks

Qing-Yan Meng, Ming-Qing Xiao, Zheng-Yu Ma, Hui-Hui Zhou, Yong-Hong Tian, Zhouchen Lin

arXiv.org

DOI

2025

Language Ranker: A Lightweight Ranking framework for LLM Decoding

Chen-Heng Zhang, Tianqi Du, Ji-Zheng Zhang, Ming-Qing Xiao, Yi-Fei Wang, Yi-Sen Wang, Zhouchen Lin

Neural Information Processing Systems

DOI

2025

TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice

Shen Yan, Xingyan Bin, Sijun Zhang, Yi-Sen Wang, Zhouchen Lin

International Conference on Learning Representations

2025

PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks

Pengyun Yue, Xuan-Lin Yang, Ming-Qing Xiao, Zhouchen Lin

Neural Information Processing Systems

DOI

2025

Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training

Yi-Sen Wang, Yi-Chuan Mo, Hongjun Wang, Junyi Li, Zhouchen Lin

arXiv.org

DOI

2025

Projective Equivariant Networks via Second-order Fundamental Differential Invariants

Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Lexiang Hu, Zhouchen Lin

Neural Information Processing Systems

DOI

2025

Explicit Discovery of Nonlinear Symmetries from Dynamic Data

Lexiang Hu, Yi-Kang Li, Zhouchen Lin

International Conference on Machine Learning

DOI

2025

PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs

Hanzhen Zhao, Shihong Ding, Cong Fang, Zhouchen Lin

Neural Information Processing Systems

DOI

2025

Governing Equation Discovery from Data Based on Differential Invariants

Lexiang Hu, Yi-Kang Li, Zhouchen Lin

arXiv.org

DOI

2025

Affine Steerable Equivariant Layer for Canonicalization of Neural Networks

Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin

International Conference on Learning Representations

2025

Symmetry discovery for different data types

Lexiang Hu, Yikang Li, Zhouchen Lin

Neural Networks

DOI

2025

A Survey on Video Temporal Grounding With Multimodal Large Language Model

Jianlong Wu, Wei Liu, Ye Liu, Meng Liu, Liqiang Nie, Zhouchen Lin, Chang Wen Chen

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation

Hao Wang, Zhichao Chen, Zhaoran Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2025

ClusMatch: Improving Deep Clustering by Unified Positive and Negative Pseudo-Label Learning

Jianlong Wu, Zihan Li, Wei Sun, Jianhua Yin, Liqiang Nie, Zhouchen Lin

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing

Yong Chen, Yuxiang Zhou, Hailiang Dong, Rui Liu, Zhouchen Lin, Dell Zhang

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness

Ke Sun, Mingjie Li, Zhouchen Lin

Science China Information Sciences

DOI

2025

Time-o1: Time-Series Forecasting Needs Transformed Label Alignment

Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin

neural information processing systems

DOI

2025

MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios

Yang Shi, Huanqian Wang, Wulin Xie, Huanyao Zhang, Lijie Zhao, Yifan Zhang, Xinfeng Li, Chaoyou Fu, Zhuoer Wen, Wenting Liu, Zhuoran Zhang, Xinlong Chen, Bohan Zeng, Sihan Yang, Yushuo Guan, Zhang Zhang, Liang Wang, Haoxuan Li, Zhouchen Lin, Yuanxing Zhang, Pengfei Wan, Haotian Wang, Wenjing Yang

neural information processing systems

DOI

2025

Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads

Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin

neural information processing systems

DOI

2025

On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm

Huan Li, Yazhu Dong, Zhouchen Lin

neural information processing systems

DOI

2024

Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales

Baoquan Chen, Zhouchen Lin, P. Xi, Yebin Liu, Xiao-Dian Chen

Science China Information Sciences

DOI

2024

Pyramidal Flow Matching for Efficient Video Generative Modeling

Yang Jin, Zhicheng Sun, Ning Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Ya-Dong Mu, Zhouchen Lin

International Conference on Learning Representations

DOI

2024

MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling

Xin Xu, Zhouchen Lin

European Conference on Artificial Intelligence

DOI

2024

Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks

Zhengyang Shen, Yeqing Qiu, Jialun Liu, Lingshen He, Zhouchen Lin

Neural Networks

DOI

2024

Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks

Ming-Qing Xiao, Qingyan Meng, Zong-Peng Zhang, D.K. He, Zhouchen Lin

arXiv.org

DOI

2024

On the Adversarial Transferability of Generalized “Skip Connections”

Yi-Sen Wang, Yi-Chuan Mo, Dongxian Wu, Ming-Jie Li, Xing-Jun Ma, Zhouchen Lin

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning

Ming-Qing Xiao, Yixin Zhu, D.K. He, Zhouchen Lin

International Conference on Machine Learning

DOI

2024

Towards Understanding Convergence and Generalization of AdamW

Pan Zhou, Xingyu Xie, Zhouchen Lin, Shui-Cheng Yan

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach

Zhou-Tong Wu, Ming-Qing Xiao, Cong Fang, Zhouchen Lin

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation

Zong-Peng Zhang, Tao-Yun Ji, Ming-Qing Xiao, Wen Wang, Guo-yuan Yu, Tong Lin, Yu-Wu Jiang, Xiaohua Zhou, Zhouchen Lin

Biomedical Signal Processing and Control

DOI

2024

Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network

Zong-Peng Zhang, Ming-Qing Xiao, Tao-Yun Ji, Yu-Wu Jiang, Tong Lin, Xiaohua Zhou, Zhouchen Lin

Frontiers in Neuroscience

DOI

2024

Sampling complex topology structures for spiking neural networks

Shen Yan, Qingyan Meng, Ming-Qing Xiao, Yi-Sen Wang, Zhouchen Lin

Neural Networks

DOI

2024

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

Ming-Qing Xiao, Qingyan Meng, Zong-Peng Zhang, D.K. He, Zhouchen Lin

International Conference on Learning Representations

DOI

2024

Incorporating Arbitrary Matrix Group Equivariance into KANs

Lexiang Hu, Yi-Sen Wang, Zhouchen Lin

International Conference on Machine Learning

2024

Affine Equivariant Networks Based on Differential Invariants

Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Zhouchen Lin

Computer Vision and Pattern Recognition

DOI

2024

High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces

Shihao Shao, Yi-Kang Li, Zhouchen Lin, Qinghua Cui

Journal of machine learning research

DOI

2024

Empowering LLMs with Logical Reasoning: A Comprehensive Survey

Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin

DOI

2024

Reducing Memory Footprint in Deep Network Training by Gradient Space Reutilization

Yiming Dong, Zhouchen Lin

Lecture notes in computer science

DOI

2024

Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

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 Chuan Tian, Chang Wen Chen

ACM Computing Surveys

DOI

2024

SSCNet: learning-based subspace clustering

Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhouchen Lin

Visual Intelligence

DOI

2024

LION: Implicit Vision Prompt Tuning

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

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

机器学习中的交替方向乘子法

林宙辰

《科学出版社》

2023

Bilevel optimization for automated machine learning: a new perspective on framework and algorithm

Risheng Liu, Zhouchen Lin

National Science Review

DOI

2023

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

Yuan-Yuan Liu, Fan-Hua Shang, Weixin An, Junhao Liu, Hong-Ying Liu, Zhouchen Lin

Neural Information Processing Systems

DOI

2023

GEQ: Gaussian Kernel Inspired Equilibrium Models

Ming-Jie Li, Yi-Sen Wang, Zhouchen Lin

Neural Information Processing Systems

DOI

2023

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

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

Neural Information Processing Systems

DOI

2023

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

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

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2023

Optimization-inspired manual architecture design and neural architecture search

Yibo Yang, Zhengyang Shen, Huan Li, Zhouchen Lin

Science China Information Sciences

DOI

2023

KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach

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

International Joint Conference on Artificial Intelligence

DOI

2023

Gradient Descent Optimizes Normalization-Free ResNets

Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin

DOI

2023

Newton design: designing CNNs with the family of Newton’s methods

Zhengyang Shen, Yibo Yang, Qi She, Changhu Wang, Jinwen Ma, Zhouchen Lin

Science China Information Sciences

DOI

2023

Video Surveillance for Indoor Office Environment Based on Object-Level Anomaly Detection

Haotian Chen, Chao Zhang, Zhouchen Lin

Journal of Physics Conference Series

DOI

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

DOI

2023

Equilibrium Image Denoising With Implicit Differentiation

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

IEEE Transactions on Image Processing

DOI

2022

Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium

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

IEEE International Conference on Big Data (BigData)

DOI

2022

Invertible Rescaling Network and Its Extensions

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

International Journal of Computer Vision

DOI

2022

Tensor Recovery With Weighted Tensor Average Rank

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

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

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

NeurIPS 2020观察与分析

林宙辰，王奕森

《中国图象图形学报》

2021

Report of NeurIPS 2020

Zhouchen Lin, Yi-Sen Wang

Journal of Image and Graphics

DOI

2021

Graph Contrastive Clustering

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

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2021

Demystifying Adversarial Training via A Unified Probabilistic Framework

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

2021

Leveraged Weighted Loss for Partial Label Learning

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

University of Twente Research Information

DOI

2021

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

Tiancheng Shen, Yibo Yang, Zhouchen Lin, Mingbin Zhang

IET Image Processing

DOI

2021

Uncertainty Principles of Encoding GANs

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

Rare & Special e-Zone (The Hong Kong University of Science and Technology)

2020

多媒体信号处理的数学理论前沿进展

熊红凯，戴文睿，林宙辰，吴飞，于俊清，申扬眉，徐明星

《中国图象图形学报》

2020

Advances in mathematical theory for multimedia signal processing

Hongkai Xiong, Wen-Rui Dai, Zhouchen Lin, Fei Wu, Jun-Qing Yu, Yangmei Shen, Ming-Xing Xu

Journal of Image and Graphics

DOI

2020

Training Neural Networks by Lifted Proximal Operator Machines

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2020

Accelerated First-Order Optimization Algorithms for Machine Learning

Huan Li, Cong Fang, Zhouchen Lin

Proceedings of the IEEE

DOI

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 AAAI Conference on Artificial Intelligence

DOI

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 AAAI Conference on Artificial Intelligence

DOI

2020

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation

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

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

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 AAAI Conference on Artificial Intelligence

DOI

2020

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

Yueying Kao, Weiming Li, Qiang Wang, Zhouchen Lin, Wooshik Kim, Sung‐Hoon Hong

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2020

Invertible Image Rescaling

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

Lecture notes in computer science

DOI

2019

How Can Machine Learning and Optimization Help Each Other Better?

Zhouchen Lin

Journal of the Operations Research Society of China

DOI

2019

Lifted Proximal Operator Machines

Jia Li, Cong Fang, Zhouchen Lin

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2019

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding

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

IEEE Transactions on Image Processing

DOI

2019

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 Transactions on Pattern Analysis and Machine Intelligence

DOI

2019

Self-Supervised Convolutional Subspace Clustering Network

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

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2019

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

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 Journal of Selected Topics in Signal Processing

DOI

2018

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

Hao Kong, Xingyu Xie, Zhouchen Lin

IEEE Journal of Selected Topics in Signal Processing

DOI

2018

Construction of Incoherent Dictionaries via Direct Babel Function Minimization

Huan Li, Zhouchen Lin

Asian Conference on Machine Learning

2018

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

Jianlong Wu, Zhouchen Lin, Hongbin Zha

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2018

$\ell_{1}$ -Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

2018

Demosaicking based on channel-correlation adaptive dictionary learning

Chenyan Bai, Jia Li, Zhouchen Lin

Journal of Electronic Imaging

DOI

2018

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

Yan Zheng, Zhouchen Lin

IEEE Transactions on Image Processing

DOI

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 AAAI Conference on Artificial Intelligence

DOI

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 Transactions on Image Processing

DOI

2018

Subspace Clustering Under Complex Noise

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

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2017

Low-Rank Models in Visual Analysis

Zhouchen Lin

Academic Press

2017

Tensor Factorization for Low-Rank Tensor Completion

Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang

IEEE Transactions on Image Processing

DOI

2017

Binary Multidimensional Scaling for Hashing

Yameng Huang, Zhouchen Lin

IEEE Transactions on Image Processing

DOI

2017

Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval

Jianlong Wu, Zhouchen Lin, Hongbin Zha

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2017

Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking

Jia Li, Chenyan Bai, Zhouchen Lin, Jian Qiao Yu

IEEE Transactions on Image Processing

DOI

2017

Efficient tree-structured SfM by RANSAC generalized Procrustes analysis

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

Computer Vision and Image Understanding

DOI

2017

Fast Compressive Phase Retrieval under Bounded Noise

Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2017

A Unified Convex Surrogate for the Schatten-p Norm

Chen Xu, Zhouchen Lin, Hongbin Zha

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2017

Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization

Cong Fang, Zhouchen Lin

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2017

Preface

Zhouchen Lin, Zhang Hongyang

Elsevier eBooks

DOI

2016

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

Jia Li, Chenyan Bai, Zhouchen Lin, Jian Qiao Yu

IEEE Transactions on Image Processing

DOI

2016

Bilevel Model-Based Discriminative Dictionary Learning for Recognition

Pan Zhou, Chao Zhang, Zhouchen Lin

IEEE Transactions on Image Processing

DOI

2016

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

Jianlong Wu, Zhouchen Lin, Hongbin Zha

ACM International Conference on Multimodal Interaction (ICMI)

DOI

2016

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

Yuqing Hou, Zhouchen Lin, Jin-Ge Yao

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2016

Penrose high-dynamic-range imaging

Jia Li, Chenyan Bai, Zhouchen Lin, Jian Qiao Yu

Journal of Electronic Imaging

DOI

2016

Tensor LRR and Sparse Coding-Based Subspace Clustering

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

2016

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

Canyi Lu, Shuicheng Yan, Zhouchen Lin

IEEE Transactions on Image Processing

DOI

2016

Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting

Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2016

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

Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

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 Transactions on Pattern Analysis and Machine Intelligence

DOI

2016

Automatic Design of Color Filter Arrays in The Frequency Domain

Chenyan Bai, Jia Li, Zhouchen Lin, Jian Qiao Yu

IEEE Transactions on Image Processing

DOI

2015

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

Li Shen, Zhouchen Lin, Qing-Ming Huang

European Conference on Computer Vision

DOI

2015

Multiple Models Fusion for Emotion Recognition in the Wild

Jianlong Wu, Zhouchen Lin, Hongbin Zha

ACM International Conference on Multimodal Interaction (ICMI)

DOI

2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering

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

IEEE Transactions on Image Processing

DOI

2015

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

Zhouchen Lin, Yameng Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2015

Relations Among Some Low-Rank Subspace Recovery Models

Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao

Neural Computation

DOI

2015

Integrated Low-Rank-Based Discriminative Feature Learning for Recognition

Pan Zhou, Zhouchen Lin, Chao Zhang

IEEE Transactions on Neural Networks and Learning Systems

DOI

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 Transactions on Image Processing

DOI

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 Transactions on Image Processing

DOI

2015

Subspace clustering by Mixture of Gaussian Regression

Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2015

Penrose Demosaicking

Chenyan Bai, Jia Li, Zhouchen Lin, Jian Qiao Yu, Yen‐Wei Chen

IEEE Transactions on Image Processing

DOI

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 AAAI Conference on Artificial Intelligence

DOI

2015

Generalized Singular Value Thresholding

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

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2015

Signature Sample Synthesis

Liang Wan, Zhouchen Lin

Encyclopedia of Biometrics

DOI

2014

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

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

Proceedings - International Conference on Image Processing

DOI

2014

Low Rank Global Geometric Consistency for Partial-Duplicate Image Search

Li Yang, Yang Lin, Zhouchen Lin, Hongbin Zha

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2014

Tensor LRR based subspace clustering

Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin

DOI

2014

Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization

Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2014

Smooth Representation Clustering

Hu Han, Zhouchen Lin, Jianjiang Feng, Jie Zhou

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2014

Adaptive Partial Differential Equation Learning for Visual Saliency Detection

Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2014

A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning

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

IEEE Transactions on Image Processing

DOI

2013

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

Wenming Zheng, Zhouchen Lin, Haixian Wang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2013

Transform invariant text extraction

Xin qiao Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma

The Visual Computer

DOI

2013

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

Chun-Guang Li, Zhouchen Lin, Jun Hai Guo

Neurocomputing

DOI

2012

Robust Recovery of Subspace Structures by Low-Rank Representation

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2002

On the number of samples needed in light field rendering with constant-depth assumption

Zhouchen Lin, Heung‐Yeung Shum

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2001

用四次多项式插值消除医用X射线CT中的金属伪影

林宙辰，石青云

《中国图象图形学报》

1999

一个能去噪和保持真实感的各向异性扩散方程

林宙辰，石青云

《计算机学报》

1999

用二进小波消除磁共振图像中的振铃效应

林宙辰，石青云

《模式识别与人工智能》

Biomedical Signal Processing and

Zong-Peng Zhang, Tao-Yun Ji, Ming-Qing Xiao, Wen Wang, Guo-yuan Yu, Tong Lin, Yu-Wu Jiang, Xiaohua Zhou, Zhouchen Lin

会议论文

2021

Efficient Equivariant Network

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

neural information processing systems

2021

Gauge Equivariant Transformer

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

neural information processing systems

2015

Low-Rank Models in Subspace Clustering

林宙辰

《2015年中国自动化大会摘要集》

预印本

2026

VisDocAgentBench: Benchmarking Agents for Visually Rich Document Retrieval

Lexiang Hu, Yanzhao Zhang, Mingxin Li, Dingkun Long, Yikang Li, Fuwei Zhang, Yisen Wang, Zhouchen Lin

arXiv preprint

2026

CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks

Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zheng, Zhixuan Chu, Xiaoxi Li, Yuan Lu, Xinggao Liu, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective

Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling

Yafu Li, Runzhe Zhan, Haoran Zhang, Shunkai Zhang, Yizhuo Li, Zhilin Wang, Jiacheng Chen, Futing Wang, Xuyang Hu, Yuchen Fan, Bangjie Xu, Yucheng Su, Xinmiao Han, Chenxi Li, Haodi Lei, Yufeng Zhao, Zejin Lin, Qianjia Cheng, Tong Zhu, Xiaoye Qu, Ganqu Cui, Peng Ye, Yun Luo, Zhouchen Lin, Yu Qiao, Bowen Zhou, Ning Ding, Yu Cheng

arXiv preprint

2026

OmniGAIA: Towards Native Omni-Modal AI Agents

Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Haoxuan Li, Hao Wang, Shijian Wang, Guanting Dong, Jiajie Jin, Yinuo Wang, Yuan Lu, Ji-Rong Wen, Zhicheng Dou, Zhouchen Lin

arXiv preprint

2026

ORCA: The Annealed Spectral Conditioning Optimizer for Faster, Better LLM Training

Yuanshi Liu, Boyuan Jiang, Liang Hou, Xin Tao, Pengfei Wan, Zhouchen Lin, Cong Fang

arXiv preprint

2026

Convergence Rate Analysis of SOAP with Arbitrary Orthogonal Projection Matrices

Huan Li, Zhouchen Lin

arXiv preprint

2026

Matching Randomized First-Order Bounds for Higher-Order Smooth Nonconvex Optimization

Haihan Zhang, Wendao Wu, Fangqing Zhang, Chenheng Zhang, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Joint Lower Bounds for Zeroth-Order Nonconvex Optimization on Euclidean Balls

Haihan Zhang, Wendao Wu, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Sharp High-Probability Statistical Rates for Heavy-Tailed Nonsmooth Convex Optimization

Haihan Zhang, Wendao Wu, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Matching Lower Bounds for Randomized First-Order Methods in Hessian-Lipschitz Nonconvex Optimization

Haihan Zhang, Wendao Wu, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Sharp Fresh-Gradient Complexity of Nonconvex-Strongly-Concave Minimax Optimization

Wendao Wu, Haihan Zhang, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Near-Optimal Deterministic Exact-Value Complexity for Smooth Convex Optimization

Wendao Wu, Haihan Zhang, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

LiteToken: Removing Intermediate Merge Residues From BPE Tokenizers

Yike Sun, Haotong Yang, Zhouchen Lin, Muhan Zhang

arXiv preprint

2026

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification

Xinpeng Lv, Yunxin Mao, Renzhe Xu, Chunyuan Zheng, Yikai Chen, Haoxuan Li, Yang Shi, Jinxuan Yang, Zhouchen Lin, Yuanlong Chen, Yuanxing Zhang, Shaowu Yang, Wenjing Yang, Haotian Wang

arXiv preprint

2026

Rethinking the Flow-Based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective

Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Near-Optimal Lower Bounds for Randomized Algorithms in Exact Value Zeroth-Order Convex Optimization

Haihan Zhang, Chenheng Zhang, Zhiquan Qi, Zhouchen Lin

arXiv preprint

2026

A Self-Triggered Agentic Push Recommendation System

Zhao-Yu Zhang, Qingying Chen, Chunyuan Zheng, Jing Zhou, Jian Sun, Siqi Chen, Leiying Chen, Chuan Zhou, Huiyou Jiang, Xin Tao, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Unbiased Reward Modeling from Implicit Feedback for LLM Alignment

Hao Wang, Haocheng Yang, Licheng Pan, Lei Shen, Xiaoxi Li, Yinuo Wang, Zhichao Chen, Yuan Lu, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Near-Optimal Higher-Order Oracle Complexity for Convex--Concave Minimax Optimization

Yanyi Li, Haihan Zhang, Chenheng Zhang, Wendao Wu, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Rethinking Personalization in Large Language Models at the Token Level

Chenheng Zhang, Yijun Lu, Lizhe Fang, Chunyuan Zheng, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Yisen Wang, Zhouchen Lin

arXiv preprint

2026

UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams

Siyu Xia, Chenheng Zhang, Yanting Wu, Haoxuan Li, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Zhouchen Lin, Haifeng Zhang, Jun Wang

arXiv preprint

2026

Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference

Xingyu Xie, Xiaoyong Xie, Zhouchen Lin, Kim-Chuan Toh

arXiv preprint

2026

Dimension-Optimal Dynamic Regret in Exp-Concave Online Learning

Yanyi Li, Wendao Wu, Haihan Zhang, Qinshi Wang, Chenheng Zhang, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Attention Sinks Induce Gradient Sinks: Massive Activations as Gradient Regulators in Transformers

Yihong Chen, Zhouchen Lin, Quanming Yao

arXiv preprint

2026

Matching Randomized Bounds for Finite-Sum Nonconvex-Concave Optimization

Wendao Wu, Haihan Zhang, Qian Chen, Chenheng Zhang, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Matching Full-Hessian Oracle Complexity for Nonconvex--Strongly-Concave Minimax Optimization

Fangqing Zhang, Haihan Zhang, Wendao Wu, Chenheng Zhang, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Closing the Accuracy Gap in Stochastic First-Order Bilevel Optimization

Haihan Zhang, Wendao Wu, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Second-Order Stationarity with Common Random Losses: Matching Tolerance Bounds

Wendao Wu, Haihan Zhang, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Matching Higher-Order Oracle Complexity for Smooth Monotone Variational Inequalities

Haihan Zhang, Wendao Wu, Chenheng Zhang, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Partial Feedback Online Learning

Shihao Shao, Cong Fang, Zhouchen Lin, Dacheng Tao

arXiv preprint

2026

OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale

Dihong Jiang, Ruoqi Cao, Zhiyuan Dang, Li Huang, Qingsong Zhang, Zhiyu Wang, Shihao Piao, Shenggao Zhu, Jianlong Chang, Zhouchen Lin, Qi Tian

arXiv preprint

2026

Convergence Rate Analysis of the AdamW-style Shampoo: Unifying One-Sided and Two-Sided Preconditioning

Huan Li, Yiming Dong, Zhouchen Lin

arXiv preprint

2026

ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics

Shunkai Zhang, Haoran Zhang, Yun Luo, Qianjia Cheng, Haodi Lei, Yizhuo Li, Runzhe Zhan, Zhilin Wang, Bangjie Xu, Yucheng Su, Xinmiao Han, Xiaoye Qu, Dongrui Liu, Zhouchen Lin, Yu Qiao, Ning Ding, Yafu Li, Yu Cheng

arXiv preprint

2026

Matching Upper and Lower Bounds for Higher-Order Nonconvex Finite-Sum Optimization

Wendao Wu, Haihan Zhang, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Drafting Agents, Not Just Tokens: Speculative Recursive Self-Improvement for Agentic Systems

Xin Xu, Ke Cheng, Hao Wang, Yangru Huang, Yanghao Xiao, Zhichao Chen, Zhisheng Zhong, Xun Liu, Yi Li, Qian Li, Haibin Lv, Jun Zhang, Jie Jiang, Zhouchen Lin

arXiv preprint

2026

Convergence of Rotation-based Matrix Optimizers: A Unified Analysis of SOAP, Conda, and SPlus

Yiwen Sun, Huan Li, Zhouchen Lin

arXiv preprint

2026

Matching Complexity for Second-Order Stationary Point with Sample Reuse

Qian Chen, Wendao Wu, Haihan Zhang, Chenheng Zhang, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Geodesically Convex Optimization in Hyperbolic Space: Matching Lower Bounds

Wendao Wu, Haihan Zhang, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

The Minimax Cost of Smoothness in Fully First-Order Stochastic Bilevel Optimization

Wendao Wu, Haihan Zhang, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Matrix-Vector Complexity of Low-Rank Approximation

Haihan Zhang, Wendao Wu, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach

Xinpeng Lv, Yunxin Mao, Renzhe Xu, Chunyuan Zheng, Yikai Chen, Haoxuan Li, Jinxuan Yang, Kun Kuang, Yuanlong Chen, Mingyang Geng, Wanrong Huang, Shixuan Liu, Shaowu Yang, Wenjing Yang, Zhouchen Lin, Haotian Wang

arXiv preprint

2026

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity

Liyang Yuan, Yibo Yang, Dandan Guo, Peter Richtarik, Zhouchen Lin

arXiv preprint

2026

Fine-Tuning Low-Bit Models with Gradient in Quantized Code Space

Shiguang Wu, Zhouchen Lin, Quanming Yao

arXiv preprint

2026

ProofVerifier: A Scalable, Diversity-Driven Framework for Natural-Language Proof Verification

Haotong Yang, Zitong Wang, Shijia Kang, Siqi Yang, Wenkai Yu, Xu Niu, Yike Sun, Yi Hu, Zhouchen Lin, Muhan Zhang

arXiv preprint

2026

Deep Time-Series Forecasting in 10 Years: A Survey

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

arXiv preprint

2026

StructZO: Structured Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning

Xuanlin Yang, Jia Li, Zhouchen Lin

arXiv preprint

2026

Sharp Minimax Rates for Highly Smooth Strongly Convex Zeroth-Order Optimization

Haihan Zhang, Wendao Wu, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2026

Gradient-Hessian Query Tradeoffs: Matching Lower Bounds in Logarithmic Dimension

Wendao Wu, Haihan Zhang, Chenheng Zhang, Yanyi Li, Chunyuan Zheng, Cong Fang, Haoxuan Li, Zhouchen Lin

arXiv preprint

2025

DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD

Xianbiao Qi, Marco Chen, Wenjie Xiao, Jiaquan Ye, Yelin He, Chun-Guang Li, Zhouchen Lin

arXiv preprint

2025

MegaSR: Mining Customized Semantics and Expressive Guidance for Real-World Image Super-Resolution

Xinrui Li, Jinrong Zhang, Jianlong Wu, Chong Chen, Liqiang Nie, Zhouchen Lin

arXiv preprint

2025

Simple Convergence Proof of Adam From a Sign-like Descent Perspective

Hanyang Peng, Shuang Qin, Yue Yu, Fangqing Jiang, Hui Wang, Zhouchen Lin

arXiv preprint

2025

Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond

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

arXiv preprint

2025

VACT: A Video Automatic Causal Testing System and a Benchmark

Haotong Yang, Qingyuan Zheng, Yunjian Gao, Yongkun Yang, Yangbo He, Zhouchen Lin, Muhan Zhang

arXiv preprint

2025

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models

Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin

arXiv preprint

2025

Stepsize anything: A unified learning rate schedule for budgeted-iteration training

Anda Tang, Yiming Dong, Yutao Zeng, zhou Xun, Zhouchen Lin

arXiv preprint

2025

Conda: Column-Normalized Adam for Training Large Language Models Faster

Junjie Wang, Pan Zhou, Yiming Dong, Huan Li, Jia Li, Xun Zhou, Qicheng Lao, Cong Fang, Zhouchen Lin

arXiv preprint

2025

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models

Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin

arXiv preprint

2024

Convergence Rate Analysis of LION

Yiming Dong, Huan Li, Zhouchen Lin

arXiv (Cornell University)

DOI

2024

Number Cookbook: Number Understanding of Language Models and How to Improve It

Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang

arXiv (Cornell University)

DOI

2024

DIGIC: Domain Generalizable Imitation Learning by Causal Discovery

Yang Chen, Yitao Liang, Zhouchen Lin

arXiv preprint

2024

Beyond likelihood ratio bias: Nested multi-time-scale stochastic approximation for likelihood-free parameter estimation

Zehao Li, Zhouchen Lin, Yijie Peng

arXiv preprint

2024

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model

Haotong Yang, Xiyuan Wang, Qian Tao, Shuxian Hu, Zhouchen Lin, Muhan Zhang

arXiv preprint

2024

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective

Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu

arXiv preprint

2024

Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization

Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin

arXiv preprint

2024

On the $O(\frac{\sqrt{d}}{T^{1/4}})$ Convergence Rate of RMSProp and Its Momentum Extension Measured by $\ell_1$ Norm

Huan Li, Yiming Dong, Zhouchen Lin

arXiv preprint

2024

MLAE: Masked LoRA Experts for Visual Parameter-Efficient Fine-Tuning

Junjie Wang, Guangjing Yang, Wentao Chen, Huahui Yi, Xiaohu Wu, Zhouchen Lin, Qicheng Lao

arXiv preprint

2023

Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content Structure

Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang

arXiv (Cornell University)

DOI

2023

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

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

arXiv (Cornell University)

DOI

2023

Zeroth-order Optimization with Weak Dimension Dependency

Pengyun Yue, Long Yang, Cong Fang, Zhouchen Lin

arXiv (Cornell University)

DOI

2023

PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium

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

arXiv (Cornell University)

DOI

2023

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

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

arXiv preprint

2023

A Message Passing Perspective on Learning Dynamics of Contrastive Learning

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

arXiv preprint

2023

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

Yi Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang

arXiv preprint

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

arXiv preprint

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 Torr, Dacheng Tao, Bernard Ghanem

arXiv preprint

2023

Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip Torr, Dacheng Tao

arXiv preprint

2022

On the Lower Bound of Minimizing Polyak-Łojasiewicz Functions

Pengyun Yue, Cong Fang, Zhouchen Lin

arXiv (Cornell University)

DOI

2022

SymNMF-Net for The Symmetric NMF Problem

Mingjie Li, Hao Kong, Zhouchen Lin

arXiv (Cornell University)

DOI

2022

Global Convergence of Over-parameterized Deep Equilibrium Models

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

arXiv preprint

2022

A Roadmap for Big Model

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han, Zhenghao Liu, Ning Ding, Yongming Rao, Yizhao Gao, Liang Zhang, Ming Ding, Cong Fang, Yisen Wang, Mingsheng Long, Jing Zhang, Yinpeng Dong, Tianyu Pang, Peng Cui, Lingxiao Huang, Zheng Liang, Huawei Shen, Hui Zhang, Quanshi Zhang, Qingxiu Dong, Zhixing Tan, Mingxuan Wang, Shuo Wang, Long Zhou, Haoran Li, Junwei Bao, Yingwei Pan, Weinan Zhang, Zhou Yu, Rui Yan, Chence Shi, Minghao Xu, Zuobai Zhang, Guoqiang Wang, Xiang Pan, Mengjie Li, Xiaoyu Chu, Zijun Yao, Fangwei Zhu, Shulin Cao, Weicheng Xue, Zixuan Ma, Zhengyan Zhang, Shengding Hu, Yujia Qin, Chaojun Xiao, Zheni Zeng, Ganqu Cui, Weize Chen, Weilin Zhao, Yuan Yao, Peng Li, Wenzhao Zheng, Wenliang Zhao, Ziyi Wang, Borui Zhang, Nanyi Fei, Anwen Hu, Zenan Ling, Haoyang Li, Boxi Cao, Xianpei Han, Weidong Zhan, Baobao Chang, Hao Sun, Jiawen Deng, Chujie Zheng, Juanzi Li, Lei Hou, Xigang Cao, Jidong Zhai, Zhiyuan Liu, Maosong Sun, Jiwen Lu, Zhiwu Lu, Qin Jin, Ruihua Song, Ji-Rong Wen, Zhouchen Lin, Liwei Wang, Hang Su, Jun Zhu, Zhifang Sui, Jiajun Zhang, Yang Liu, Xiaodong He, Minlie Huang, Jian Tang, Jie Tang

arXiv preprint

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

arXiv preprint

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

arXiv preprint

2022

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

Huan Li, Zhouchen Lin

arXiv preprint

2022

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

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

arXiv preprint

2022

Optimization-Induced Graph Implicit Nonlinear Diffusion

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

arXiv preprint

2022

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption

Haotong Yang, Zhouchen Lin, Muhan Zhang

arXiv preprint

2022

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

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

arXiv preprint

2022

Online Training Through Time for Spiking Neural Networks

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

arXiv preprint

2022

Towards Theoretically Inspired Neural Initialization Optimization

Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin

arXiv preprint

2022

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

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

arXiv preprint

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

arXiv preprint

2021

On Training Implicit Models

Zhengyang Geng, Xinyu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin

arXiv (Cornell University)

DOI

2021

Residual Relaxation for Multi-view Representation Learning

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

arXiv (Cornell University)

DOI

2021

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

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

arXiv (Cornell University)

DOI

2021

GBHT: Gradient Boosting Histogram Transform for Density Estimation

Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin

arXiv (Cornell University)

DOI

2021

Gradient Boosted Binary Histogram Ensemble for Large-scale Regression

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

arXiv (Cornell University)

DOI

2021

Dissecting the Diffusion Process in Linear Graph Convolutional Networks

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

arXiv (Cornell University)

DOI

2021

Is Attention Better Than Matrix Decomposition?

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

arXiv (Cornell University)

DOI

2021

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

arXiv preprint

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

arXiv preprint

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

arXiv preprint

2021

Reparameterized Sampling for Generative Adversarial Networks

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

arXiv preprint

2021

Optimization Induced Equilibrium Networks

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

arXiv preprint

2021

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization

Huan Li, Zhouchen Lin

arXiv preprint

2021

BoundarySqueeze: Image Segmentation as Boundary Squeezing

Hao He, Xiangtai Li, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lubin Weng, Zhouchen Lin, Shiming Xiang

arXiv preprint

2021

Under-bagging Nearest Neighbors for Imbalanced Classification

Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin

arXiv preprint

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

arXiv preprint

2021

PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs

Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma

arXiv preprint

2020

PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions

Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma

arXiv (Cornell University)

DOI

2020

Maximum-and-Concatenation Networks

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

arXiv (Cornell University)

DOI

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

arXiv preprint

2020

Towards Efficient Scene Understanding via Squeeze Reasoning

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

arXiv preprint

DOI

2020

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

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

arXiv preprint

2020

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

Huan Li, Zhouchen Lin, Yongchun Fang

arXiv preprint

2020

On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation

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

arXiv preprint

2020

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

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

arXiv preprint

2020

Revisiting EXTRA for Smooth Distributed Optimization

Huan Li, Zhouchen Lin

arXiv preprint

2019

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

Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu

arXiv (Cornell University)

DOI

2019

Differentiable Linearized ADMM

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

arXiv (Cornell University)

DOI

2019

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN

Ke Sun, Zhanxing Zhu, Zhouchen Lin

arXiv (Cornell University)

DOI

2019

Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

Cong Fang, Zhouchen Lin, Tong Zhang

arXiv (Cornell University)

DOI

2019

ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition

Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang

arXiv preprint

2019

Virtual Adversarial Training on Graph Convolutional Networks in Node Classification

Ke Sun, Zhouchen Lin, Hantao Guo, Zhanxing Zhu

arXiv preprint

2019

Expectation-Maximization Attention Networks for Semantic Segmentation

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

arXiv preprint

2019

Deep Comprehensive Correlation Mining for Image Clustering

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

arXiv preprint

2019

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

Ke Sun, Zhanxing Zhu, Zhouchen Lin

arXiv preprint

2019

Histogram Transform Ensembles for Large-scale Regression

Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen

arXiv preprint

2019

Tensor Q-Rank: New Data Dependent Definition of Tensor Rank

Hao Kong, Canyi Lu, Zhouchen Lin

arXiv preprint

2019

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models

Ke Sun, Zhanxing Zhu, Zhouchen Lin

arXiv preprint

2018

Optimization Algorithm Inspired Deep Neural Network Structure Design

Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin

arXiv (Cornell University)

DOI

2018

Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters

Huan Li, Cong Fang, Wotao Yin, Zhouchen Lin

arXiv (Cornell University)

DOI

2018

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

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

arXiv (Cornell University)

DOI

2018

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

Huan Li, Zhouchen Lin

arXiv (Cornell University)

DOI

2018

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements

Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

arXiv preprint

2018

Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation

Cong Fang, Yameng Huang, Zhouchen Lin

arXiv preprint

2018

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

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

arXiv preprint

2018

Convolutional Neural Networks with Alternately Updated Clique

Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin

arXiv preprint

2018

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

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

arXiv preprint

2018

Alternating Multi-bit Quantization for Recurrent Neural Networks

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

arXiv preprint

2018

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

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

arXiv preprint

2018

Essential Tensor Learning for Multi-view Spectral Clustering

Jianlong Wu, Zhouchen Lin, Hongbin Zha

arXiv preprint

DOI

2018

Subspace Clustering by Block Diagonal Representation

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

arXiv preprint

2017

Convergence Rates Analysis of The Quadratic Penalty Method and Its Applications to Decentralized Distributed Optimization

Huan Li, Cong Fang, Zhouchen Lin

arXiv (Cornell University)

DOI

2017

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

Cong Fang, Feng Cheng, Zhouchen Lin

arXiv (Cornell University)

DOI

2017

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

arXiv preprint

2017

Provable Accelerated Gradient Method for Nonconvex Low Rank Optimization

Huan Li, Zhouchen Lin

arXiv preprint

2016

A Unified Alternating Direction Method of Multipliers by Majorization Minimization

Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin

arXiv preprint

2016

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

Huan Li, Zhouchen Lin

arXiv preprint

2016

Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data

Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Zhouchen Lin, Baocai Yin

arXiv preprint

2016

Graph Construction with Label Information for Semi-Supervised Learning

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

arXiv preprint

2015

Correntropy Induced L2 Graph for Robust Subspace Clustering

Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin

arXiv preprint

2015

Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization

Canyi Lu, Huan Li, Zhouchen Lin

arXiv preprint

2015

Correlation Adaptive Subspace Segmentation by Trace Lasso

Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

arXiv preprint

2015

Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion

Yuqing Hou, Zhouchen Lin

arXiv preprint

2015

Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis

Hongyang Zhang, Zhouchen Lin, Chao Zhang

arXiv preprint

DOI

2014

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

Canyi Lu, Zhouchen Lin, Shuicheng Yan

arXiv preprint

DOI

2014

Generalized Nonconvex Nonsmooth Low-Rank Minimization

Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin

arXiv preprint

DOI

2014

Robust Estimation of 3D Human Poses from a Single Image

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

arXiv preprint

2013

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

Zhouchen Lin, Risheng Liu, Huan Li

arXiv preprint

2013

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

Hongyang Zhang, Zhouchen Lin, Chao Zhang

arXiv preprint

2012

Fixed-Rank Representation for Unsupervised Visual Learning

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

arXiv preprint

2012

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

Xiang Ren, Zhouchen Lin

arXiv preprint

DOI

2011

Some Software Packages for Partial SVD Computation

Zhouchen Lin

arXiv preprint

2011

Analysis and Improvement of Low Rank Representation for Subspace segmentation

Wei Siming, Lin Zhouchen

arXiv preprint

2011

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

Zhouchen Lin, Risheng Liu, Zhixun Su

arXiv preprint

2011

Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach

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

arXiv preprint

2011

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

Risheng Liu, Zhouchen Lin, Siming Wei, Zhixun Su

arXiv preprint

2010

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

Zhouchen Lin, Minming Chen, Yi Ma

arXiv preprint

DOI

2010

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

Zhouchen Lin, Siming Wei

arXiv preprint

书籍章节

2022

ADMM for Nonconvex Optimization

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

2022

Derivations of ADMM

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

2022

Stochastic ADMM

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

2022

Practical Issues and Conclusions

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

2022

ADMM for Distributed Optimization

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

2022

ADMM for Deterministic and Convex Optimization

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

2022

Introduction

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

2017

Optimization Algorithms

Zhouchen Lin, Hongyang Zhang

Elsevier eBooks

DOI

2017

Introduction

Zhouchen Lin, Zhang Hongyang

Elsevier eBooks

DOI

2017

Proofs

Zhouchen Lin, Hongyang Zhang

Elsevier eBooks

DOI

2017

Conclusions

Zhouchen Lin, Hongyang Zhang

Elsevier eBooks

DOI

2017

Mathematical Preliminaries

Zhouchen Lin, Hongyang Zhang

Elsevier eBooks

DOI

2017

Representative Applications

Zhouchen Lin, Hongyang Zhang

Elsevier eBooks

DOI

2017

Nonlinear Models

Zhouchen Lin, Hongyang Zhang

Elsevier eBooks

DOI

2017

Linear Models

Zhouchen Lin, Hongyang Zhang

Elsevier eBooks

DOI

书籍

2022

Alternating Direction Method of Multipliers for Machine Learning

Zhouchen Lin, Huan Li, Cong Fang

Springer eBooks

DOI

研究方向

机器学习模式识别计算机视觉图像处理数值优化

此主页由公开资料整理，尚未经学者本人认领。