I am a first-year PhD student in the Department of Computing at the Hong Kong Polytechnic University, advised by Prof. Hongxia Yang. I received my Master’s degree from the University of Electronic Science and Technology of China in 2025, supervised by Prof. Lin Liu. I obtained my Bachelor’s degree from the UESTC in 2022.

Email / Github / Google Scholar

Research Interests

My current research interests mainly focus on the field of multimodal large language models (MLLMs) and medical LLMs, with previous research experience in semi-supervised learning and medical image segmentation.

Publications and Manuscripts

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
Zeyu Liu, Yuhang Liu, Guanghao Zhu, Congkai Xie, Zhen Li, Jianbo Yuan, Xinyao Wang, Qing Li, Shing-Chi Cheung, Shengyu Zhang, Fei Wu, Hongxia Yang*
Arxiv, 2025
Paper

InfiR: Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
Congkai Xie, Shuo Cai, Wenjun Wang, Pengxiang Li, Zhijie Sang, Kejing Yang, Yiming Zhang, Zhen Li, Guanghao Zhu, Zeyu Liu, Yang Yu, Yuhang Liu, Su Lu, Baoyi He, Qi Zhou, Xiaotian Han, Jianbo Yuan, Shengyu Zhang, Fei Wu, Hongxia Yang*
Arxiv, 2025
Paper

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
Guanghao Zhu, Jing Zhang, Juanxiu Liu, Xiaohui Du, Ruqian Hao, Yong Liu, Lin Liu*
Neurocomputing, 2025
Paper / Code

Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition
Guanghao Zhu, Lin Liu, Yuhao Hu, Haixin Sun, Fang Liu, Xiaohui Du, Ruqian Hao, Juanxiu Liu, Yong Liu, Hao Deng, Jing Zhang*
Arxiv, 2024
Paper / Code

UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation
Guanghao Zhu, Lin Liu, Jing Zhang, Xiaohui Du, Ruqian Hao, Juanxiu Liu*
BIBM, 2024
Paper

Awards

National Scholarship in China (2023)
First Class Academic Scholarship for Postgraduates (2022/2023)