Jiangpeng He

Postdoctoral Associate at MIT
Adjunct Faculty at Purdue University

Hi, I am a postdoctoral associate in the Department of Mechanical Engineering at MIT. Additionally, I serve as an adjunct faculty member in the Department of Electrical and Computer Engineering at Purdue University.

I earned my Ph.D. in Electrical and Computer Engineering from Purdue University, in the Video and Image Processing Lab (VIPER), where I had the privilege of being advised by Prof. Fengqing Maggie Zhu and Prof. Edward Delp.

Prior to my doctoral studies, I obtained my bachelor’s degree from the University of Electronic Science and Technology of China, Chengdu.

I warmly welcome anyone interested in collaborating or discussing research with me, whether remotely or in person. Potential topics related to continual learning, long-tail learning, and AI for health care.

news

Jul 10, 2024 I am honored to receive the Top-5 Postdoctoral Mentoring Award from Purdue University.
Jul 09, 2024 I give the talk Advances in Image-Based Dietary Assessment at Fudan University.
Jun 19, 2024 I am honored to be recognized as an Outstanding Reviewer for CVPR 2024
Jun 17, 2024 I am honored to co-chair the MetaFood Workshop at CVPR 2024.
Feb 27, 2024 Our paper Gradient Reweighting: Towards Imbalanced Class-Incremental Learning is accepted to CVPR 2024
Feb 27, 2024 Our paper Towards Backward-Compatible Continual Learning of Image Compression is accepted to CVPR 2024.

selected publications

  1. CVPR
    Gradient reweighting: Towards imbalanced class-incremental learning
    Jiangpeng He
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  2. CVPR
    continual-compression.gif
    Towards Backward-Compatible Continual Learning of Image Compression
    Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, and Fengqing Zhu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  3. WACV
    Online Class-Incremental Learning For Real-World Food Image Classification
    Siddeshwar Raghavan, Jiangpeng He, and Fengqing Zhu
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
  4. WACV
    Online Continual Learning via Candidates Voting
    Jiangpeng He, and Fengqing Zhu
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
  5. CVPR
    Incremental learning in online scenario
    Jiangpeng He, Runyu Mao, Zeman Shao, and Fengqing Zhu
    Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2020
  6. Nutrients
    Long-Tailed Food Classification
    Jiangpeng He, Luotao Lin, Heather A. Eicher-Miller, and Fengqing Zhu
    Nutrients, 2023
  7. ICIP
    Single-stage heavy-tailed food classification
    Jiangpeng He, and Fengqing Zhu
    2023
    Oral