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Computer Science

D-Index
67
Citations
38994
World Ranking
2134
National Ranking
38

Ziwei Liu 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 Ziwei Liu 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Ziwei Liu 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 Ziwei Liu 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: 67 D-Index — 85th percentile

85% 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

  • 2025 - Research.com Rising Stars Award

Overview

Ziwei Liu is affiliated with Nanyang Technological University in Singapore. Their primary field of study is Computer Science, with a strong focus on several specialized subfields and research topics.

The scientist's work spans numerous subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Control and Systems Engineering
  • Signal Processing

Within these areas, Ziwei Liu's research covers a variety of main topics, such as:

  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Their recent papers illustrate contributions across various topics in computer vision and vision-language models. Notable recent publications are:

  • "Learning to Prompt for Vision-Language Models," 2022, International Journal of Computer Vision
  • "Conditional Prompt Learning for Vision-Language Models," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Domain Generalization: A Survey," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "MMDetection: Open MMLab Detection Toolbox and Benchmark," 2024, arXiv (Cornell University)
  • "Incorporating Convolution Designs into Visual Transformers," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Ziwei Liu frequently collaborates with co-authors in the field. Prominent collaborators include:

  • Chen Change Loy
  • Liang Pan
  • Dahua Lin
  • Fangzhou Hong
  • Zhongang Cai

Best Publications

  • Deep Learning Face Attributes in the Wild

    Ziwei Liu;Ping Luo;Xiaogang Wang;Xiaoou Tang

  • Dynamic Graph CNN for Learning on Point Clouds

    Yue Wang;Yongbin Sun;Ziwei Liu;Sanjay E. Sarma

  • Learning to Prompt for Vision-Language Models

    Unknown

  • DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

    Ziwei Liu;Ping Luo;Shi Qiu;Xiaogang Wang

  • Conditional Prompt Learning for Vision-Language Models

    Unknown

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • Domain Generalization: A Survey

    Unknown

  • Large-Scale Long-Tailed Recognition in an Open World

    Ziwei Liu;Zhongqi Miao;Xiaohang Zhan;Jiayun Wang

  • MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

    Cheng-Han Lee;Ziwei Liu;Lingyun Wu;Ping Luo

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • CARAFE: Content-Aware ReAssembly of FEatures

    Jiaqi Wang;Kai Chen;Rui Xu;Ziwei Liu

  • Video Frame Synthesis Using Deep Voxel Flow

    Ziwei Liu;Raymond A. Yeh;Xiaoou Tang;Yiming Liu

  • Semantic Image Segmentation via Deep Parsing Network

    Ziwei Liu;Xiaoxiao Li;Ping Luo;Chen-Change Loy

  • Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

    Hang Zhou;Yu Liu;Ziwei Liu;Ping Luo

  • Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

    Hang Zhou;Yasheng Sun;Wayne Wu;Chen Change Loy

  • Generalized Out-of-Distribution Detection: A Survey

    Jingkang Yang;Kaiyang Zhou;Yixuan Li;Ziwei Liu

  • Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

    Xiaoxiao Li;Ziwei Liu;Ping Luo;Chen Change Loy

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Jiangmiao Pang;Jiaqi Wang;Yu Xiong

  • Knowledge Distillation Meets Self-supervision

    Guodong Xu;Ziwei Liu;Xiaoxiao Li;Chen Change Loy

  • Distribution-Balanced Loss for Multi-label Classification in Long-Tailed Datasets

    Tong Wu;Qingqiu Huang;Ziwei Liu;Yu Wang

  • Face model compression by distilling knowledge from neurons

    Ping Luo;Zhenyao Zhu;Ziwei Liu;Xiaogang Wang

  • Fashion Landmark Detection in the Wild

    Ziwei Liu;Sijie Yan;Ping Luo;Xiaogang Wang

  • DPATCH: An Adversarial Patch Attack on Object Detectors.

    Xin Liu;Huanrui Yang;Ziwei Liu;Linghao Song

Frequent Co-Authors

Dahua Lin
Dahua Lin Chinese University of Hong Kong
Ping Luo
Ping Luo University of Hong Kong
Chen Change Loy
Chen Change Loy Nanyang Technological University
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Stella X. Yu
Stella X. Yu University of Michigan–Ann Arbor
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Jianping Shi
Jianping Shi SenseTime
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Wayne M. Getz
Wayne M. Getz University of California, Berkeley

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