World's Best Scientists 2026 revealed!
Jiashi Feng

Jiashi Feng

Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
107
Citations
49397
World Ranking
263
National Ranking
31

Jiashi Feng 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 Jiashi Feng 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: 387 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Jiashi Feng 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 Jiashi Feng 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: 107 D-Index — 98th percentile

98% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Jiashi Feng is affiliated with ByteDance in China and is active in the field of computer science, with a primary research focus on computer vision and pattern recognition. Their body of work comprises over 400 publications, spanning various subfields and topics within artificial intelligence and visual computing.

The scientist's main research areas include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computational Mechanics
  • Signal Processing

Their work extensively covers advanced topics within the field, such as:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging

Jiashi Feng has published multiple papers in prominent venues. Some of their recent notable papers include:

  • "Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "MetaFormer is Actually What You Need for Vision," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep Long-Tailed Learning: A Survey," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms," 2020, JAMA Network Open
  • "DeepViT: Towards Deeper Vision Transformer," 2021, arXiv (Cornell University)

The venues where Jiashi Feng frequently publishes research comprise:

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

The research collaborations of Jiashi Feng highlight frequent co-authorship with several researchers, including:

  • Daquan Zhou
  • Qibin Hou
  • Shuicheng Yan
  • Jun Hao Liew
  • Zihang Jiang

The scientist's contributions are primarily situated within computer science, leveraging deep learning methodologies to address challenges in image understanding, few-shot learning, and multimodal data interpretation. Their involvement in medical imaging research illustrates interdisciplinary applications incorporating artificial intelligence and radiology for practical healthcare solutions.

Best Publications

  • Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

    Li Yuan;Yunpeng Chen;Tao Wang;Weihao Yu

  • Return of frustratingly easy domain adaptation

    Baochen Sun;Jiashi Feng;Kate Saenko

  • PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment

    Kaixin Wang;Jun Hao Liew;Yingtian Zou;Daquan Zhou

  • Deep Joint Rain Detection and Removal from a Single Image

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu

  • A Simple Pooling-Based Design for Real-Time Salient Object Detection

    Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Jiashi Feng

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

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

    Yunchao Wei;Jiashi Feng;Xiaodan Liang;Ming-Ming Cheng

  • Perceptual Generative Adversarial Networks for Small Object Detection

    Jianan Li;Xiaodan Liang;Yunchao Wei;Tingfa Xu

  • Scale-Aware Fast R-CNN for Pedestrian Detection

    Jianan Li;Xiaodan Liang;Shengmei Shen;Tingfa Xu

  • Few-Shot Object Detection via Feature Reweighting

    Bingyi Kang;Zhuang Liu;Xin Wang;Fisher Yu

  • End-to-End Comparative Attention Networks for Person Re-Identification

    Hao Liu;Jiashi Feng;Meibin Qi;Jianguo Jiang

  • Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution

    Yunpeng Chen;Haoqi Fan;Bing Xu;Zhicheng Yan

  • STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

    Yunchao Wei;Xiaodan Liang;Yunpeng Chen;Xiaohui Shen

  • Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation

    Yunchao Wei;Huaxin Xiao;Honghui Shi;Zequn Jie

  • Adversarial Complementary Learning for Weakly Supervised Object Localization

    Xiaolin Zhang;Yunchao Wei;Jiashi Feng;Yi Yang

  • Diversified Visual Attention Networks for Fine-Grained Object Classification

    Bo Zhao;Xiao Wu;Jiashi Feng;Qiang Peng

  • Natural Language Object Retrieval

    Ronghang Hu;Huazhe Xu;Marcus Rohrbach;Jiashi Feng

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

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Dual Path Networks

    Yunpeng Chen;Jianan Li;Huaxin Xiao;Xiaojie Jin

  • Graph-Based Global Reasoning Networks

    Yunpeng Chen;Marcus Rohrbach;Zhicheng Yan;Yan Shuicheng

  • Revisiting Knowledge Distillation via Label Smoothing Regularization

    Li Yuan;Francis Eh Tay;Guilin Li;Tao Wang

  • Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

    Jian Liang;Dapeng Hu;Jiashi Feng

Frequent Co-Authors

Shuicheng Yan
Shuicheng Yan National University of Singapore
Yunpeng Chen
Yunpeng Chen National University of Singapore
Yunchao Wei
Yunchao Wei Beijing Jiaotong University
Zequn Jie
Zequn Jie Tencent (China)
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Qibin Hou
Qibin Hou Nankai University
Zhouchen Lin
Zhouchen Lin Peking University
Xiaohui Shen
Xiaohui Shen ByteDance
Huan Xu
Huan Xu Alibaba Group (China)
Terence Sim
Terence Sim National University of Singapore

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