I am currently an assistant professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). Before joining HITsz, I received my PhD degree (working on semantic-based dialogue modeling) from Zhejiang University in Mar 2023, where I was honored to be advised by Yue Zhang. I earned my master degree (working on unsupervised word translation) from Harbin Institute of Technology, supervised by Tiejun Zhao and Hailong Cao. I obtained my undergraduate degree on Computer Science and Technology from Harbin Institute of Technology.

My research area spans from large language models (LLMs) and structured learning. I recently focus on developing technical solutions to bridge the gap between LLMs and structured data (Knowledge Graphs, Semantic Graphs, Protein Structures). Additionally, I work on efficient reinforcement learning (RL) algorithms to align LLMs with human values, ensuring their safe and ethical deployment. Beyond this, I maintain a strong interest in fundamental NLP tasks (syntax and semantics) as well as real-world NLP applications (dialogue systems and machine translation).

Recruit: I am currently looking for self-motivated undergraduate students, interns, and prospective Master's (2026) or PhD (2026) candidates to doing research with me. If you have a strong interest in LLMs or structures, I’d love to hear from you! Please feel free to reach out via email or visit me at L1910 to discuss potential opportunities.