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

Zhouchen Lin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Zhouchen Lin sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 441 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Zhouchen Lin D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Zhouchen Lin sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Hongbin Zha
Hongbin Zha Peking University
Risheng Liu
Risheng Liu Dalian University of Technology
Jiashi Feng
Jiashi Feng ByteDance
Yi Ma
Yi Ma University of Hong Kong
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Guangcan Liu
Guangcan Liu Southeast University
Wenming Zheng
Wenming Zheng Southeast University
Li Shen
Li Shen Alibaba Group (China)

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