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

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
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
Huan Xu
Huan Xu Alibaba Group (China)
Xiaohui Shen
Xiaohui Shen ByteDance
Terence Sim
Terence Sim National University of Singapore
Jianchao Yang
Jianchao Yang ByteDance

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