- Search Engine Augmented Chinese Named Entity Recognition for Big Data Content Security
- Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery
- LLM Reasoning on Medicine: Challenges, Opportunities, and Future (Workshop at INLG 2025)
- Large Language Models are In-Context Molecule Learners (TKDE)
- TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
- MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts
- Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective (TKDE)
- Recommender Systems in the Era of Large Language Models (LLMs) (TKDE)
Research Experience
Served as Program Committee for AAAI 2024 and 2025, and is a reviewer for several top-tier conferences and journals including ICML, Neurips, and ICLR.
Education
- Ph.D. Candidate, Department of Computing, The Hong Kong Polytechnic University (2021-present), advisor information not provided
- Master of Information Technology, University of Melbourne, supervised by Dr. Lea Frermann
- Bachelor of Information Security, Shanghai Jiao Tong University
Background
Research Interests: Natural Language Processing, Drug Discovery, Large Language Models. Background: Currently a Ph.D. candidate in the Department of Computing at The Hong Kong Polytechnic University, funded by HKPFS. Before joining PolyU, obtained a Master's degree in Information Technology from the University of Melbourne (supervised by Dr. Lea Frermann) and a Bachelor's degree in Information Security from Shanghai Jiao Tong University. Passionate about scientific research and has published several papers in top-tier conferences and journals such as CVPR, ACL, IJCAI, and IEEE TKDE.