I am currently a Ph.D. student at Harbin Institute of Technology, Shenzhen (HITSZ), advised by Professor Zhuotao Tian. I received my M.E. degree from the University of Science and Technology of China (USTC), where I was supervised by Professor Junwei Han, IEEE Fellow, and my B.E. degree from Sichuan University.

My research interests lie in multimodal large models and intelligent agents (AI Agents), with a focus on building systems that can perceive, reason, and act across diverse modalities. I am also broadly interested in deep learning, computer vision, and AIGC. I hope to contribute meaningful work to these rapidly evolving fields in the future.

πŸ”₯ News

  • 2025.07  πŸŽ‰πŸŽ‰ A collaborative paper has been accepted by Pattern Recognition.
  • 2025.07  πŸŽ‰πŸŽ‰ A paper has been accepted by TCSVT.

πŸ“ Publications

  • Hierarchical Mixing Architecture for Low-light RAW Image Enhancement.
    Xianmin Chen, Peiliang Huang, et. al. (arXiv), 2025. [paper | code]
  • Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement.
    Xianmin Chen, Longfei Han, et. al.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, ), 2025. [paper | code]
  • DecoupleNet: Domain-Specific Task Decoupling Network for Low-Light Image Enhancement.
    Peiliang Huang*, Xianmin Chen* et. al.
    Pattern Recognition (PR, ), 2025. [paper | code]

πŸ”Ž Reviewer

Conference Reviewer

  • AAAI (2027)
  • ECCV (2026 Workshop LoViF)

Journal Reviewer

  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Pattern Recognition (PR)

πŸ“– Educations

  • 2026.09 - now, Computer Science and Technology, HITSZ.
  • 2023.09 - 2026.06, Electronic Information, Institute of Advanced Technology, University of Science and Technology of China (USTC).
  • 2019.09 - 2023.06, Industrial Engineering, Pittsburgh Institute, Sichuan University (SCU).

πŸŽ– Honors and Awards

  • Outstanding Master’s Thesis, Institute of Advanced Technology, USTC, 2026
  • First-Class Academic Scholarship, USTC, 2025