JIN HUANG
University of Michigan, Ann Arbor. huangjin@umich.edu
Hi! I am Jin Huang, a 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 degrees at the University of Michigan, Ann Arbor, and Shanghai Jiao Tong University. I’ve also had the privilege of working with Prof. Jiaqi Ma and Prof. Danai Koutra. I interned at DP Technology and Intel.
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.
News
| Jun 3, 2024 | Our paper Can LLMs Effectively Leverage Graph Structural Information: When and Why is accepted to Transactions on Machine Learning Research (TMLR)! |
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| 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! |
| Dec 8, 2022 | Our paper Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks is accepted as oral presentation in Learning on Graph conference (LoG 2022)! |