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Zhouchen Lin

  1. Pyramidal Flow Matching for Efficient Video Generative Modeling
    2024/10/08 by Yang Jin, Jin, Yang, Zhicheng Sun +17 · 81 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
  2. SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
    2018/07/04 by Cong Fang, Chris Junchi Li, Fang, Cong +5 · 25 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  3. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
    2011/09/02 by Zhouchen Lin, Lin, Zhouchen, Risheng Liu +3 · 21 citations
    Computer Science · Engineering · #Direction-of-Arrival Estimation Techniques #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Synthetic Aperture Radar (SAR) Applications and Techniques
  4. Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
    2022/08/13 by Xingyu Xie, Pan Zhou, Xie, Xingyu +7 · 19 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications #Optimization and Control (math.OC)
  5. Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
    2021/01/27 by Risheng Liu, Liu, Risheng, Jiaxin Gao +7 · 12 citations
    Engineering · Decision Sciences · Mathematics · #Sparse and Compressive Sensing Techniques #Advanced Bandit Algorithms Research #Advanced Optimization Algorithms Research
  6. Policy Representation via Diffusion Probability Model for Reinforcement Learning
    2023/05/22 by Long Yang, Zhixiong Huang, Yang, Long +15 · 16 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  7. Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
    2018/07/16 by Xia Li, Jianlong Wu, Li, Xia +7 · 9 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques
  8. Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
    2020/04/01 by Canyi Lu, Jiashi Feng, Yudong Chen +3 · 9 citations
  9. Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
    2023/02/06 by Yibo Yang, Yang, Yibo, Haobo Yuan +9 · 12 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  10. Invertible Image Rescaling
    2020/05/12 by Xiao, Mingqing, Shuxin Zheng, Chang Liu +14 · 9 citations
    Computer Science · Physics and Astronomy · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Holography and Microscopy #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  11. Online Training Through Time for Spiking Neural Networks
    2022/10/09 by Mingqing Xiao, Xiao, Mingqing, Qingyan Meng +7 · 11 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  12. Towards Understanding Convergence and Generalization of AdamW
    2024/03/27 by Pan Zhou, Xingyu Xie, Zhouchen Lin +1 · 14 citations
    Engineering · Computer Science · #Optimization and Packing Problems #Neural Networks and Applications #Face and Expression Recognition
  13. Dissecting the Diffusion Process in Linear Graph Convolutional Networks
    2021/02/22 by Yifei Wang, Wang, Yifei, Yisen Wang +5 · 8 citations
    Computer Science · #Advanced Graph Neural Networks #Caching and Content Delivery #Software-Defined Networks and 5G
  14. Empowering LLMs with Logical Reasoning: A Comprehensive Survey
    2025/02/21 by Fengxiang Cheng, Haoxuan Li, Cheng, Fengxiang +9 · 22 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Law, AI, and Intellectual Property
  15. Number Cookbook: Number Understanding of Language Models and How to Improve It
    2024/11/06 by Haotong Yang, Yi Hu, Yang, Haotong +7 · 15 citations
    Mathematics · Psychology · Social Sciences · #Cognitive and developmental aspects of mathematical skills #Reading and Literacy Development #Education and Technology Integration
  16. Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
    2022/03/17 by Yibo Yang, Shixiang Chen, Yang, Yibo +9 · 6 citations
    Computer Science · Engineering · #Imbalanced Data Classification Techniques #Infrastructure Maintenance and Monitoring #Domain Adaptation and Few-Shot Learning
  17. Alternating Multi-bit Quantization for Recurrent Neural Networks
    2018/02/01 by Chen Xu, Jianqiang Yao, Xu, Chen +11 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
    2022/03/25 by Yifei Wang, Wang, Yifei, Qi Zhang +7 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
    2018/06/07 by Canyi Lu, Lu, Canyi, Jiashi Feng +5 · 4 citations
    Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #Advanced SAR Imaging Techniques
  20. Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
    2015/12/18 by Li Shen, Shen, Li, Zhouchen Lin +3 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Improving Semantic Segmentation via Decoupled Body and Edge Supervision
    2020/07/20 by Xiangtai Li, Xia Li, Li, Xiangtai +13 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Video Surveillance and Tracking Methods
  22. Is Attention Better Than Matrix Decomposition?
    2021/01/01 by Geng, Zhengyang, Hongxu Chen, Guo, Meng-Hao +6 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
    2021/09/29 by Qingyan Meng, Xiao, Mingqing, Meng, Qingyan +6 · 4 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  24. Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization
    2020/09/09 by Huan Li, Li, Huan, Zhouchen Lin +3 · 4 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques
  25. Self-Supervised Convolutional Subspace Clustering Network
    2019/05/01 by Junjian Zhang, Zhang, Junjian, Chun-Guang Li +11 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Remote-Sensing Image Classification #Video Surveillance and Tracking Methods
  26. Solving Principal Component Pursuit in Linear Time via l1 Filtering
    2011/08/26 by Risheng Liu, Zhouchen Lin, Liu, Risheng +5 · 1 citation
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques #Advanced SAR Imaging Techniques
  27. Invertible Rescaling Network and Its Extensions
    2022/10/09 by Mingqing Xiao, Xiao, Mingqing, Shuxin Zheng +7 · 2 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Enhancement Techniques #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  28. A Message Passing Perspective on Learning Dynamics of Contrastive Learning
    2023/03/08 by Yifei Wang, Qi Zhang, Wang, Yifei +9 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  29. Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
    2025/05/23 by Hao Wang, Wang, Hao, Pan, Licheng +12 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #Time Series Analysis and Forecasting #electronic engineering #information engineering
  30. Accelerated Alternating Direction Method of Multipliers: an Optimal O(1/K) Nonergodic Analysis
    2016/08/23 by Huan Li, Zhouchen Lin, Li, Huan +1 · 1 citation
    Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Microwave Imaging and Scattering Analysis #Numerical methods in inverse problems
  31. On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems
    2018/08/16 by Risheng Liu, Shichao Cheng, Liu, Risheng +9 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
  32. MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
    2025/05/27 by Yang Shi, Huanqian Wang, Shi, Yang +43 · 5 citations
    Computer Science · #Natural Language Processing Techniques #Video Analysis and Summarization #Speech and dialogue systems
  33. Fixed-Rank Representation for Unsupervised Visual Learning
    2012/03/09 by Risheng Liu, Zhouchen Lin, Liu, Risheng +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Numerical Analysis (math.NA) #Remote-Sensing Image Classification #Sparse and Compressive Sensing Techniques
  34. Convergence Rate Analysis of LION
    2024/11/12 by Yiming Dong, Huan Li, Dong, Yiming +3 · 3 citations
    Engineering · #Engineering Applied Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  35. ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
    2020/10/13 by Yibo Yang, Yang, Yibo, Hongyang Li +9 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Sparse and Compressive Sensing Techniques
  36. PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
    2021/03/11 by Xiangtai Li, Li, Xiangtai, Hao He +15 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Robotics and Sensor-Based Localization
  37. A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising
    2022/04/08 by Jian Lü, Jian Lu, Chen Xu +6 · 1 citation
    Computer Science · Engineering · #Image and Signal Denoising Methods #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
  38. SymNMF-Net for The Symmetric NMF Problem
    2022/05/26 by Mingjie Li, Li, Mingjie, Hao Kong +3 · 1 citation
    Computer Science · Social Sciences · #Face and Expression Recognition #Advanced Computing and Algorithms #Advanced Image and Video Retrieval Techniques
  39. A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
    2022/03/25 by Yifei Wang, Yisen Wang, Wang, Yifei +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  40. Global Convergence of Over-parameterized Deep Equilibrium Models
    2022/05/27 by Zenan Ling, Xingyu Xie, Ling, Zenan +7 · 1 citation
    Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  41. Correlation Adaptive Subspace Segmentation by Trace Lasso
    2015/01/18 by Canyi Lu, Lu, Canyi, Jiashi Feng +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Remote-Sensing Image Classification #Sparse and Compressive Sensing Techniques
  42. Optimization-Induced Graph Implicit Nonlinear Diffusion
    2022/06/29 by Qi Chen, Chen, Qi, Yifei Wang +7 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #Machine Learning and ELM
  43. On the Lower Bound of Minimizing Polyak-Łojasiewicz Functions
    2022/12/27 by Pengyun Yue, Yue, Pengyun, Cong Fang +3 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  44. Incorporating Arbitrary Matrix Group Equivariance into KANs
    2024/10/01 by Lexiang Hu, Hu, Lexiang, Yisen Wang +3 · 2 citations
    Computer Science · #Cognitive Computing and Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
  45. High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces
    2024/12/24 by S. Shao, Yikang Li, Shao, Shihao +5 · 2 citations
    Computer Science · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Mathematical Physics (math-ph) #Model Reduction and Neural Networks #Neural Networks and Applications #Quantum Physics (quant-ph)
  46. Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
    2023/08/03 by Yibo Yang, Yang, Yibo, Haobo Yuan +15 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  47. SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
    2019/11/18 by Yibo Yang, Yang, Yibo, Hongyang Li +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  48. Residual Relaxation for Multi-view Representation Learning
    2021/10/28 by Yifei Wang, Wang, Yifei, Zhengyang Geng +11 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  49. Near-Optimal Lower Bounds for Randomized Algorithms in Exact Value Zeroth-Order Convex Optimization
    2026/07/18 by Haihan Zhang, Chenheng Zhang, Zhiquan Qi +1
    Mathematics · #math.OC
  50. UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams
    2026/07/28 by Siyu Xia, Chenheng Zhang, Yanting Wu +8
    #cs.CL