CV
Education
- Ph.D. in Computer Science, City University of Hong Kong, expected to start in June 2026
- B.Eng. in Electronics and Information Engineering, Huazhong University of Science and Technology, 2023
Research Experience
- Research Assistant, Healthcare Analytics & Neural Intelligence Lab, City University of Hong Kong (Dongguan), 2024-2026
- Research on LLM reasoning, medical AI, medical agents, and multimodal reasoning
- Worked on problem formulation, method design, experiments, and paper writing
- Led and co-led multiple projects in medical reasoning and medical VLMs
Research Interests
- LLM reasoning
- Trustworthy and verifiable medical AI
- Medical agents and clinical workflow abstraction
- Multimodal reasoning and medical VLMs
- Reflection, self-correction, and synthetic data for reasoning
Selected Projects
- Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained Reflection
- Led the project from idea to paper writing
- Designed a fine-grained reflection pipeline with Tree-of-Thought style structure and DPO-based training signals
- QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model
- Helped formulate the project and design a quantization-aware reasoning framework for medical LLMs
- Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine
- Proposed the core idea and led the design and writing for a study of multimodal reasoning failures in medicine
Methods and Skills
- Chain-of-Thought and Tree-of-Thought reasoning
- Self-reflection and self-correction
- DPO and preference data construction
- Quantized LLM reasoning
- Medical LLM evaluation
- Medical VLM and multimodal reasoning
- RAG and agent-style reasoning systems
- Failure analysis and benchmark-based evaluation
Publications
Links
