About Me

Hello, I’m Jinpeng Chen (陈锦芃), a Ph.D. in Computer Science from City University of Hong Kong. I was advised by Prof. Horace Ho Shing Ip and Prof. Sam Kwong (IEEE Fellow), and collaborated closely with Prof. Runmin Cong. My research focuses on continual learning, multimodal large language models (MLLMs), and image segmentation.

Education

Ph.D., City University of Hong Kong (Sep 2021 - Jun 2025)

Major: Computer Science
Supervisor: Prof. Horace Ip and Prof. Sam Kwong (IEEE Fellow)
Research Focus: Continual Learning, MLLMs, Image Segmentation
GPA: 3.90/4.3

B.Eng., Beijing University of Posts and Telecommunications (Sep 2017 - Jun 2021)

Major: Electronic Information Science and Technology
GPA: 3.63/4.0

Publications

  • Jinpeng Chen†, Runmin Cong†, Yuzhi Zhao, Hongzheng Yang, Guangneng Hu, Horace Ho Shing Ip, and Sam Kwong, “SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning,” ICML, 2025. [Paper] [Code] [Dataset]

  • Jinpeng Chen, Runmin Cong, Yuxuan Luo, Horace Ho Shing Ip, and Sam Kwong, “Replay without saving: Prototype derivation and distribution rebalance for class-incremental semantic segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. [Paper] [Code]

  • Jinpeng Chen, Runmin Cong, Yuxuan Luo, Horace Ho Shing Ip, and Sam Kwong, “Strike a balance in continual panoptic segmentation,” ECCV, 2024. [Paper] [Code]

  • Jinpeng Chen, Runmin Cong, Horace Ho Shing Ip, and Sam Kwong, “KepSalinst: Using peripheral points to delineate salient instances,” IEEE Transactions on Cybernetics, 2024. [Paper] [Code]

  • Jinpeng Chen, Runmin Cong, Yuxuan Luo, Horace Ho Shing Ip, and Sam Kwong, “Saving 100x storage: Prototype replay for reconstructing training sample distribution in class-incremental semantic segmentation,” NeurIPS, 2023. [Paper] [Code]

  • Yuxuan Luo†, Jinpeng Chen†, Runmin Cong, Horace Ho Shing Ip, and Sam Kwong, “Trace back and go ahead: Completing partial annotation for continual semantic segmentation,” Pattern Recognition, 2025. [Paper]

  • Runmin Cong, Hang Xiong, Jinpeng Chen‡, Wei Zhang, Qingming Huang, and Yao Zhao, “Query-guided prototype evolution network for few-shot segmentation,” IEEE Transactions on Multimedia, 2024. [Paper] [Code]

  • Runmin Cong, Yuchen Guan, Jinpeng Chen‡, Wei Zhang, Yao Zhao, and Sam Kwong, “SDDNet: Style-guided dual-layer disentanglement network for shadow detection,” ACM MM, 2023. [Paper] [Code]

  • Yuxuan Luo, Jinpeng Chen, Runmin Cong, Horace Ho Shing Ip, and Sam Kwong, “Query-guided prototype evolution network for few-shot segmentation,” IEEE Transactions on Circuits and Systems for Video Technology, 2025. [Paper]

(†Co-first Author; ‡Corresponding Author)