About Me

I am a first-year Ph.D. student at the University of Maryland, College Park, advised by Prof. Heng Huang. Previously, I worked as a research assistant at the Natural Language Processing Laboratory of Northeastern University (China), supervised by Prof. Tong Xiao. I received my B.E. degree from Northeastern University of Computer Science and Engineering in 2021.

My research focuses on making large language models (LLMs) more accessible by removing barriers that prevent users from leveraging them efficiently and effectively. It comprises three main thrusts:

• Efficient Backbone/Foundation Model: Multi-scale Modeling (UMST, ICML2022), Subspace Interaction (EIT, ACL2024), Subspace Modeling (PartialFormer, ACL2024), ODE (PCFormer, NeurIPS2024), Encode-Decoder Trade-offs (LaMaTE, ACL2025)
• Efficient Training and Inference Strategies: Multi-Draft Speculative Decoding (ICLR2025), Asymmetric Training for MMT (ACL2025), Self-evolving Training (Arxiv)
• Empirical Applications for Broader Accessibility: Author Attribution (EMNLP2024), Logical Reasoning (Arxiv)