Fuqiang Chen

Ph.D. Student in Computer Science at Harbin Institute of Technology, Shenzhen

fuqiang.png

Shenzhen, China

I am a Ph.D. student in Computer Science and Technology at the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, supervised by Prof. Yongbing Zhang and Prof. Hongpeng Wang.

My research focuses on computational pathology and virtual staining. More recently, I have been exploring continual learning for large language models and continual learning for autonomous agents.

Before beginning my doctoral studies, I received my master’s degree in Computer Technology from the University of Chinese Academy of Sciences, where I conducted research at the Shenzhen Institute of Advanced Technology and the State Key Laboratory of Biomedical Imaging Science and System under the supervision of Prof. Wenjian Qin. I received my bachelor’s degree in Electronic Information Engineering through the Excellence Engineer Program at Chongqing University, where I worked with Prof. Hailin Cao.

Research Interests

  • Computational Pathology
  • Histopathology Virtual Staining
  • Continual Learning
  • Large Language Models
  • Autonomous Agents

Education

Harbin Institute of Technology, Shenzhen
Ph.D. Student in Computer Science and Technology, 2025–Present
Supervisors: Prof. Yongbing Zhang and Prof. Hongpeng Wang

University of Chinese Academy of Sciences / Shenzhen Institute of Advanced Technology
M.Eng. in Computer Technology, 2022–2025
State Key Laboratory of Biomedical Imaging Science and System
Supervisor: Prof. Wenjian Qin

Chongqing University
B.Eng. in Electronic Information Engineering, 2018–2022
Excellent Engineer Program, School of Microelectronics and Communication Engineering
Supervisor: Prof. Hailin Cao

selected publications

  1. MICCAI
    Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
    Fuqiang Chen, Ranran Zhang, Boyun Zheng, and 3 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
  2. IEEE TMI
    PGVMS: A Prompt-Guided Unified Framework for Virtual Multiplex IHC Staining with Pathological Semantic Learning
    Fuqiang Chen, Ranran Zhang, Wanming Hu, and 6 more authors
    IEEE Transactions on Medical Imaging, 2026
  3. arXiv
    ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-Domain Virtual IHC Staining
    Fuqiang Chen, Yifeng Wang, Hongpeng Wang, and 1 more author
    arXiv preprint arXiv:2607.03851, 2026
    arXiv HTML
  4. AAAI
    Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion
    Bing Xiong, Yue Peng, Ranran Zhang, and 3 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
  5. IEEE JBHI
    UTADC-Net: Unsupervised Topological-Aware Diffusion Condensation Network for Medical Image Segmentation
    Yue Peng, Ruodai Wu, Bing Xiong, and 5 more authors
    IEEE Journal of Biomedical and Health Informatics, 2025
  6. IEEE TIP
    USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining
    Yue Peng, Bing Xiong, Fuqiang Chen, and 5 more authors
    IEEE Transactions on Image Processing, 2026