World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9235
World Ranking
6472
National Ranking
2874

Chunyuan Li 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 Chunyuan Li 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: 108 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Chunyuan Li 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 Chunyuan Li 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Chunyuan Li is a researcher affiliated with Microsoft in the United States. Their work primarily spans the field of Computer Science, with a particular focus on Artificial Intelligence and Computer Vision and Pattern Recognition. They have contributed to a considerable body of research encompassing several subfields, including Radiology, Nuclear Medicine and Imaging, Plant Science, and Information Systems.

Their research topics reflect a concentration on multimodal machine learning applications, domain adaptation and few-shot learning, and topic modeling. Additional areas include natural language processing techniques, advanced image and video retrieval methods, generative adversarial networks and image synthesis, as well as speech and dialogue systems.

Chunyuan Li has produced numerous publications, with a strong presence in prominent venues. Frequent platforms for their work include arXiv (Cornell University), which hosts the majority of their papers, alongside the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the Proceedings of the AAAI Conference on Artificial Intelligence, Foundations and Trends® in Computer Graphics and Vision, and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Some notable recent papers by Chunyuan Li include the following:

  • Visual Instruction Tuning, 2023, arXiv (Cornell University)
  • RegionCLIP: Region-based Language-Image Pretraining, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • A whole-slide foundation model for digital pathology from real-world data, 2024, Nature
  • Florence: A New Foundation Model for Computer Vision, 2021, arXiv (Cornell University)
  • Focal Self-attention for Local-Global Interactions in Vision Transformers, 2021, arXiv (Cornell University)

Their publishing record shows collaboration with several frequent coauthors, including Jianfeng Gao, Jianwei Yang, and Pengchuan Zhang. These collaborations have contributed significantly to their output in terms of both volume and diversity of research topics.

Best Publications

  • Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

    Xiujun Li;Xi Yin;Chunyuan Li;Pengchuan Zhang

  • Variational autoencoder for deep learning of images, labels and captions

    Yunchen Pu;Zhe Gan;Ricardo Henao;Xin Yuan

  • Joint Embedding of Words and Labels for Text Classification

    Guoyin Wang;Chunyuan Li;Wenlin Wang;Yizhe Zhang

  • Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

    Hao Fu;Chunyuan Li;Xiaodong Liu;Jianfeng Gao

  • Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

    Dinghan Shen;Guoyin Wang;Wenlin Wang;Martin Renqiang Min

  • Florence: A New Foundation Model for Computer Vision

    Lu Yuan;Dongdong Chen;Yi-Ling Chen;Noel Codella

  • Preconditioned Stochastic Gradient Langevin Dynamics for deep neural networks

    Chunyuan Li;Changyou Chen;David Carlson;Lawrence Carin

  • Focal Self-attention for Local-Global Interactions in Vision Transformers

    Jianwei Yang;Chunyuan Li;Pengchuan Zhang;Xiyang Dai

  • Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training

    Weituo Hao;Chunyuan Li;Xiujun Li;Lawrence Carin

  • ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

    Chunyuan Li;Hao Liu;Changyou Chen;Yunchen Pu

  • SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching

    Baolin Peng;Chunyuan Li;Jinchao Li;Shahin Shayandeh

  • Few-shot Natural Language Generation for Task-Oriented Dialog

    Baolin Peng;Chenguang Zhu;Chunyuan Li;Xiujun Li

  • Measuring the Intrinsic Dimension of Objective Landscapes.

    Chunyuan Li;Heerad Farkhoor;Rosanne Liu;Jason Yosinski

  • A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

    Bo Li;Yijuan Lu;Chunyuan Li;Afzal Godil

  • Persistence-Based Structural Recognition

    Chunyuan Li;Maks Ovsjanikov;Frederic Chazal

  • Shape Retrieval of Non-rigid 3D Human Models

    D. Pickup;X. Sun;P. L. Rosin;R. R. Martin

  • Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

    Chunyuan Li;Xiang Gao;Yuan Li;Baolin Peng

  • A multiresolution descriptor for deformable 3D shape retrieval

    Chunyuan Li;A. Ben Hamza

  • SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model

    Baolin Peng;Chunyuan Li;Jinchao Li;Shahin Shayandeh

  • Triangle Generative Adversarial Networks

    Zhe Gan;Liqun Chen;Weiyao Wang;Yunchen Pu

Frequent Co-Authors

Lawrence Carin
Lawrence Carin Duke University
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Zhe Gan
Zhe Gan Microsoft (United States)
Liqun Chen
Liqun Chen University of Surrey
A. Ben Hamza
A. Ben Hamza Concordia University
Baolin Peng
Baolin Peng Microsoft (United States)
Guoyin Wang
Guoyin Wang Chongqing University of Posts and Telecommunications
Yejin Choi
Yejin Choi Stanford University
Yijuan Lu
Yijuan Lu Texas State University
Pengchuan Zhang
Pengchuan Zhang Facebook (United States)

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