CHEN HuiAssistant Research Professor

  • Email : huichen@mail.tsinghua.edu.cn
  • Address : FIT 4-308, Tsinghua University, Haidian, Beijing
Education Background

Sep. 2016 – Jul. 2021    Ph.D. School of Software, Tsinghua University    

Aug. 2012 – Jul. 2016    B.E. Department of Computer Science, Tsinghua University


Work Experience

Aug. 2023 – Present   Assistant Researcher, National Research Center for Information Science and Technology, Tsinghua University    

Jul. 2021 – Jul. 2023    Postdoc Research Scientist, Department of Automation, Tsinghua University


Academic Affiliations

Reviewer for international journals and conferences such as TIP, TMM, CVPR, ECCV, and ICCV.


Professional Affiliations

Member of the Intelligent Optical Imaging Committee of the Chinese Association for Artificial Intelligence


Research Areas

Computer Vision, Foundation Models


Research Overview

Conduct research on the structural design, training optimization, and inference acceleration of foundation visual/multimodal models. Publish over 20 high-level papers in IEEE/ACM Transactions and CCF-recommended Class A journals, with more than 3,000 citations on Google Scholar. The related works such as YOLOv10 and YOLOE are open-sourced on GitHub and have accumulated nearly 13,000 stars.


Awards and Honors

(1) 1st Prize for Science and Technology Progress Award of the Chinese Institute of Electronics, Rank 4 (2024)  

(2) 2nd Prize for Science and Technology Progress Award of the Chinese Institute of Electronics, Rank 6 (2023)


Academic Achievements

[1] Ao Wang, Hui Chen*, Zijia Lin, Jungong Han, Guiguang Ding. LSNet: See Large, Focus Small. CVPR2025

[2] Hui-Yue Yang, Hui Chen*, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming

[3] Quan, Jungong Han, Guiguang Ding. Promptable Anomaly Segmentation with SAM Through

Self-Perception Tuning. AAAI 2025.

[4] Ao Wang, Hui Chen*, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding*. Yolov10: Real-time end-to-end object detection. NeurIPS 2024

[5] Yizhe Xiong, Hui Chen*, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding. Pyra: Parallel yielding re-activation for training-inference efficient task adaptation. ECCV 2024

[6] Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen*, Zijia Lin, Jungong Han, Guiguang Ding*. Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. ECCV 2024

[7] Xinhao Xu, Hui Chen*, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding. Tad: A plug-and-play task-aware decoding method to better adapt llms on downstream tasks. IJCAI 2024

[8] Ao Wang, Hui Chen*, Zijia Lin, Jungong Jan, Guiguang Ding*. Repvit: Revisiting mobile cnn from vit perspective. CVPR 2024

[9] Fan Yang, Hui Chen*, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding*. Geometry-Guided Domain Generalization for Monocular 3D Object Detection. AAAI 2024

[10] Yizhe Xiong, Hui Chen*, Zijia Lin, Sicheng Zhao, Guiguang Ding*. Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. ICCV 2023.

[11] Zixuan Ding, Ao Wang, Hui Chen*, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han. Exploring Structured Semantic Prior for Multi-Label Recognition with Incomplete Labels. CVPR 2023.

[12] Tianxiang Hao, Hui Chen*, Yuchen Guo, Guiguang Ding*. Consolidator: Mergable Adapter with Group Connections for Visual Adaptation. ICLR 2023.


Talent Development

Co-supervised several outstanding doctoral and master's students, with related achievements published in top international journals and conferences such as NeurIPS and CVPR.