STEVEN HUANG

University of Michigan, Ann Arbor. huangjin@umich.edu

Hi! I am Steven (Jin) Huang, a second-year year Ph.D. student at the University of Michigan in the Foreseer Group, advised by Prof. Qiaozhu Mei. My research interests include large language models (LLMs) for scientific discovery, data attribution, and graph machine learning.

Previously, I completed bachelor’s degree at the University of Michigan, Ann Arbor. I’ve also had the privilege of working with Prof. Jiaqi Ma and Prof. Danai Koutra. I interned at Microsoft Research in Redmond, DP Technology and Intel.

Selected Publications

  1. ICLR 2025
    SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
    Sihang Li*, Jin Huang*, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, and Hengxing Cai
    International Conference on Learning Representations, 2025
  2. TMLR 2024
    Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
    Jin Huang, Xingjian Zhang, Qiaozhu Mei, and Jiaqi Ma
    Transactions on Machine Learning Research, 2024