Published multiple papers including 'Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment' (NeurIPS 2025), 'SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models' (ACL 2024), etc.
Research Experience
Conducts research work at the Research Center for Social Computing and Information Retrieval (SCIR) at Harbin Institute of Technology, focusing on the post-training of large language models, and collaborates closely with Prof. Yanyan Zhao, Prof. Bing Qin, Prof. Wanxiang Che, and Prof. Ting Liu.
Education
Sept 2021 - Jul 2026 (Expected). Ph.D. student in SCIR, Dept. of Computer Science and Technology, Harbin Institute of Technology. Advisor: Prof. Yanyan Zhao and Prof. Bing Qin. Sept 2017 - Jul 2021. B.Sc. in Dept. of Computer Science and Engineering, Northeastern University.
Background
A fourth-year Ph.D. student at the Research Center for Social Computing and Information Retrieval (SCIR) at Harbin Institute of Technology (HIT), China. His current research primarily focuses on the efficient, effective, and scalable post-training of large language models (LLMs), with particular attention to its applications in continual learning, efficient (adaptive) reasoning, safety alignment, multilingual enhancement, and emotional dialogue systems.