Minbin Huang

Ph.D. of The Chinese University of Hong Kong (CUHK)

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Hello, thanks for stopping by!

I am currently pursuing my Ph.D. at the Chinese Unviersity of Hong Kong, advised by Prof.Hong Cheng since 2023. Before that, I received my B.S in Applied Mathematics from Sun Yat-sen University and M.S in Pattern Recognition and Intelligence System from Sun Yat-sen University, advised by Prof.Xiaodan Liang

Research: My current research focuses on multi-modal reasoning models, efficient multi-modal large language Models. Particularly I’m interested in applying reinforcement learning to improve the reasoning capbility of LLMs。 My final goal is towards data-efficient and computation-efficient multi-modal large language models.

Feel free to reach out if you are interested in my research or would like to discuss potential collaborations! You can contact me via email(centaurus923@gmail.com) or wechat(Centaurus_alpha)

selected publications

  1. Answer-Consistent Chain-of-thought Reinforcement Learning For Multi-modal Large Langauge Models
    Minbin Huang, Runhui Huang, Chuanyang Zheng, and 4 more authors
    arXiv preprint arXiv:2510.10104, 2025
  2. Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data
    Haonan Wang, Minbin Huang, Runhui Huang, and 7 more authors
    In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025
  3. Dialoggen: Multi-modal interactive dialogue system for multi-turn text-to-image generation
    Minbin Huang, Yanxin Long, Xinchi Deng, and 6 more authors
    arXiv preprint arXiv:2403.08857, 2024
  4. Arch-graph: Acyclic architecture relation predictor for task-transferable neural architecture search
    Minbin Huang, Zhijian Huang, Changlin Li, and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022