Jiangpeng He

jpenghe[at]mit[dot]edu
he416[at]purdue[dot]edu

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

Feb 26, 2025	Can we train one LoRA to continusouly learn new tasks? Our paper CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning is accepted to CVPR 2025. Camera ready version and source code will be released soon!
Feb 21, 2025	I am honored to co-chair the 2nd MetaFood Workshop Workshop at CVPR 2025. Call for paper is now open!
Sep 17, 2024	Our MetaFood3D dataset is now available — the first comprehensive 3D food dataset with nutrition values
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

CVPR

Gradient reweighting: Towards imbalanced class-incremental learning

Jiangpeng He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Bib PDF Code

@article{he2024gradient,
  title = {Gradient reweighting: Towards imbalanced class-incremental learning},
  author = {He, Jiangpeng},
  journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {16668--16677},
  year = {2024}
}

CVPR

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

Bib PDF Code

@article{duan2024continual_compression,
  title = {Towards Backward-Compatible Continual Learning of Image Compression},
  author = {Duan, Zhihao and Lu, Ming and Yang, Justin and He, Jiangpeng and Ma, Zhan and Zhu, Fengqing},
  journal = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  pages = {25564--25573},
}

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

Bib PDF

@article{raghavan2024online,
  title = {Online Class-Incremental Learning For Real-World Food Image Classification},
  author = {Raghavan, Siddeshwar and He, Jiangpeng and Zhu, Fengqing},
  journal = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  pages = {8195--8204},
  year = {2024},
}

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

Bib PDF

@article{He_2022_WACV,
  author = {He, Jiangpeng and Zhu, Fengqing},
  title = {Online Continual Learning via Candidates Voting},
  journal = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  year = {2022},
  pages = {3154-3163}
}

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

Bib PDF

@article{he2020incremental,
  title = {Incremental learning in online scenario},
  author = {He, Jiangpeng and Mao, Runyu and Shao, Zeman and Zhu, Fengqing},
  journal = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR)},
  pages = {13926--13935},
  year = {2020}
}

Nutrients

Long-Tailed Food Classification

Jiangpeng He, Luotao Lin, Heather A. Eicher-Miller, and Fengqing Zhu

Nutrients, 2023

Bib PDF

@article{he2022long,
  author = {He, Jiangpeng and Lin, Luotao and Eicher-Miller, Heather A. and Zhu, Fengqing},
  title = {Long-Tailed Food Classification},
  journal = {Nutrients},
  volume = {15},
  year = {2023}
}

ICIP

Single-stage heavy-tailed food classification

Jiangpeng He, and Fengqing Zhu

2023

Oral

Bib PDF

@article{he2023single,
  highlight = {Oral},
  title = {Single-stage heavy-tailed food classification},
  author = {He, Jiangpeng and Zhu, Fengqing},
  booktitle = {2023 IEEE International Conference on Image Processing (ICIP)},
  pages = {1115--1119},
  year = {2023},
  organization = {IEEE}
}