Pengfei Zhou

I received my M.E. degree at Institute of Computing Technology, Chinese Academy of Sciences, where I was advised by Prof. Weiqing Min and Prof. Shuqiang Jiang and worked in VIPL Lab, Key Lab of Intelligent Information Processing and University of Chinese Academy of Sciences. I received my B.E. degree from Zhejiang University of Technology, where I was advised by Prof. Cong Bai.

I have been honored with the Outstanding Graduate Award from both Beijing and Zhejiang, as well as the China National Scholarship on two occasions. Additionally, I secured second place at ImageCLEFlifelog2019 LMRT task. I also worked with Kaipeng Zhang in Shanghai AI Laboratory.

E-mail  /  CV  /  Bio  /  Google Scholar  /  Github

profile photo
Research Interests

I currently research on multimedia processing, computer vision, and machine learning, particularly focusing on Multimodal Large Language Models and Multimodal Generation. I am also interested in healthcare-related applications.

Recent News
  • [2025/3/27] One paper is accepted by Cell Patterns.
  • [2025/2/27] One paper is accepted by CVPR 2025, and selected as Oral.
  • [2024/1/25] One paper is accepted by IEEE Transactions on Image Processing.
  • [2024/1/6] One paper is published by IEEE Transactions on Neural Networks and Learning Systems.
  • [2023/7/26] One paper is accepted by ACM MM 2023.
  • [2022/5/1] One paper is published by IEEE Internet of Things Journal.
Selected Publications
Academic Services
  • Conference Reviewer: NeurIPS 2025, ICML 2025, NeurIPS 2024, ICLR 2024, ACM MM 2025/2024/2023.
  • Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia and IEEE Transactions on Cybernetics.

Design and source code from Jon Barron.