World's Best Scientists 2026 revealed!
Zhouchen Lin

Zhouchen Lin

D-Index & Metrics

Computer Science

D-Index
81
Citations
33872
World Ranking
998
National Ranking
145

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to low-rank data modeling and image processing
  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image processing, computer vision and machine learning

Overview

Zhouchen Lin is affiliated with Peking University in China. Their research spans the disciplines of computer science and engineering, with a significant focus on artificial intelligence and computer vision.

The primary fields of study covered by Zhouchen Lin include:

  • Computer Science
  • Engineering

More specifically, their subfields of expertise are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Electrical and Electronic Engineering
  • Cognitive Neuroscience

Zhouchen Lin's research topics encompass a variety of areas in machine learning and neural computing, including:

  • Sparse and Compressive Sensing Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Memory and Neural Computing
  • Stochastic Gradient Optimization Techniques
  • Adversarial Robustness in Machine Learning
  • Advanced Image and Video Retrieval Techniques

The scientist has published notable papers in leading academic venues, such as:

  • "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning Deep Sparse Regularizers with Applications to Multi-View Clustering and Semi-Supervised Classification" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Towards Understanding Convergence and Generalization of AdamW" (2024), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering" (2020), Proceedings of the AAAI Conference on Artificial Intelligence

Zhouchen Lin frequently collaborates with a number of coauthors, including:

  • Yisen Wang
  • Xiao Ming-qing
  • Yibo Yang
  • Jianlong Wu
  • Huan Li

The scientist publishes regularly in well-known research venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neural Networks
  • Science China Information Sciences

Zhouchen Lin has been recognized as an IEEE Fellow (2018) for contributions to low-rank data modeling and image processing. Additionally, they were named Fellow of the International Association for Pattern Recognition (IAPR) in 2016 for contributions to image processing, computer vision, and machine learning.

Best Publications

  • Robust Recovery of Subspace Structures by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun

  • A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography

    Oleg Kuybeda;Gabriel A. Frank;Alberto Bartesaghi;Mario Borgnia

  • Robust Subspace Segmentation by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Yong Yu

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

    Zhouchen Lin;Risheng Liu;Zhixun Su

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

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

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

    Xia Li;Jianlong Wu;Zhouchen Lin;Hong Liu

  • Expectation-Maximization Attention Networks for Semantic Segmentation

    Xia Li;Zhisheng Zhong;Jianlong Wu;Yibo Yang

  • Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix

    Zhouchen Lin;Arvind Ganesh;John Wright;Leqin Wu

  • Fundamental limits of reconstruction-based superresolution algorithms under local translation

    Zhouchen Lin;Heung-Yeung Shum

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

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

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

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

  • Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm

    Canyi Lu;Jinhui Tang;Shuicheng Yan;Zhouchen Lin

  • Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

    Li Shen;Li Shen;Zhouchen Lin;Zhouchen Lin;Qingming Huang

  • Laplacian Regularized Low-Rank Representation and Its Applications

    Ming Yin;Junbin Gao;Zhouchen Lin

  • Subspace Clustering by Block Diagonal Representation

    Canyi Lu;Jiashi Feng;Zhouchen Lin;Tao Mei

  • Fast algorithms for recovering a corrupted low-rank matrix

    Arvind Ganesh;Zhouchen Lin;John Wright;Leqin Wu

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

    Liansheng Zhuang;Haoyuan Gao;Zhouchen Lin;Yi Ma

  • Accelerated proximal gradient methods for nonconvex programming

    Huan Li;Zhouchen Lin

  • Tensor Factorization for Low-Rank Tensor Completion

    Pan Zhou;Canyi Lu;Zhouchen Lin;Chao Zhang

  • Essential Tensor Learning for Multi-View Spectral Clustering

    Jianlong Wu;Zhouchen Lin;Hongbin Zha

  • Smooth Representation Clustering

    Han Hu;Zhouchen Lin;Jianjiang Feng;Jie Zhou

  • Response to the comments on "Fundamental limits of reconstruction-based superresolution algorithms under local translation"

    Zhouchen Lin;Heung-Yeung Shum

Frequent Co-Authors

Shuicheng Yan
Shuicheng Yan National University of Singapore
Hongbin Zha
Hongbin Zha Peking University
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Risheng Liu
Risheng Liu Dalian University of Technology
Jiashi Feng
Jiashi Feng ByteDance
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Yi Ma
Yi Ma University of Hong Kong
Guangcan Liu
Guangcan Liu Southeast University
Wenming Zheng
Wenming Zheng Southeast University
Junbin Gao
Junbin Gao University of Sydney

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