STEVEN HUANG
University of Michigan, Ann Arbor. huangjin@umich.edu
Hi! I am Steven (Jin) Huang, a first-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 DP Technology and Intel, and will intern at Microsoft Research in Redmond during the summer of 2025.
In my free time, I enjoy watching movies. As Edward Yang put it, “we live three times as long since man invented movies.” I owe my gratitude to the late-night series at the State Theatre. I was born and raised in Nanking.
News
| Dec 9, 2024 | I will attend NeurIPS 2024 from December 10 to 16 and present at FM4Science Workshop; looking forward to connecting and discussing AI research! Paper: SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding, Project: SciLitLLM. |
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| Jun 3, 2024 | Our paper Can LLMs Effectively Leverage Graph Structural Information: When and Why is accepted to Transactions on Machine Learning Research (TMLR)! |
| Apr 26, 2023 | Our paper HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation is accepted as poster in International Conference on Machine Learning (ICML 2023)! See you at Honolulu, Hawai’i this summer! |