I am a Ph.D. student in the Department of Computing at The Hong Kong Polytechnic University, advised by Prof. Hongxia Yang. I received my Master’s degree in Electronic Information from the University of Electronic Science and Technology of China (UESTC) in 2025, supervised by Prof. Lin Liu. I obtained my Bachelor’s degree in Optoelectronic Information Science and Engineering from UESTC in 2022.

Email / GitHub / Google Scholar

Research Interests

My research focuses on biomedical multimodal large language models, with particular interests in continual pretraining, domain knowledge enhancement, multimodal data curation, efficient large-scale training, and model adaptation. I also have research experience in semi-supervised medical image segmentation and micro-expression analysis.

Publications and Manuscripts

Beyond Captions: Context-Grounded Reconstruction for Biomedical Multimodal Continued Pretraining
Guanghao Zhu, Zeyu Liu, Zhitian Hou, Pengkai Wang, Zhijie Sang, Yang Yu, Minheng Ni, Wenjun Wang, Yanggan Gu, Shuo Cai, Congkai Xie, Jianmin Wu, Hongxia Yang^*
Under review; arXiv:2606.01049.
Paper

InfiMed-Foundation: Pioneering Advanced Multimodal Medical Models with Compute-Efficient Pre-Training and Multi-Stage Fine-Tuning
Guanghao Zhu, Zhitian Hou, Zeyu Liu, Zhijie Sang, Congkai Xie, Hongxia Yang^*
arXiv:2509.22261, 2025.
Paper / Model

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, Jing Zhang^*
Under review; arXiv:2406.17538.
Paper / Code

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

InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoning
Zeyu Liu, Zhitian Hou, Guanghao Zhu, Zhijie Sang, Congkai Xie, Hongxia Yang^*
arXiv:2505.23867, 2025.
Paper

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:2505.23091, 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:2502.11573, 2025.
Paper

^* Corresponding author.

Selected Awards

• National Scholarship, China (2023)
• Outstanding Graduate of Sichuan Province (2025)
• First-Class Academic Scholarship for Postgraduates (2022, 2023)