About me
I am a Ph.D. student at the University of Michigan, advised by Prof. Qiaozhu Mei. My research interests lie in AI for Science. Specifically, I am interested in the following:
Quantitative evaluation of AI systems' innovative ability.
AI tools that assist human researchers to automate scientific research workflows.
Prior to my Ph.D., I had my dual bachelor's degree at the University of Michigan (Computer Science) and Shanghai Jiao Tong University (Electrical and Computer Engineering).
Honors & Awards
2022 PhD Fellowship, University of Michigan.
2021 Tang Junyuan Scholarship, University of Michigan-SJTU Joint Institute.
2020 Tang Junyuan Scholarship, University of Michigan-SJTU Joint Institute.
2019 John Wun & Jan Sun Sunshine Scholarship, University of Michigan-SJTU Joint Institute.
2019 Undergraduate National Scholarship, Shanghai Jiao Tong University.
Service
LLMIGS 2024 Organizer
LoG Local Meetup Organizer
GLB 2023 Organizer
WWW 2023 Program Committee Member
IEEE BigData 2023 Program Committee Member
News
🍻 Paper accepted by TMLR! (6/24)
🍻 Paper accepted by ICLR 2024 5th Workshop on practical ML for limited/low resource settings! (5/24)
🚀 We are organizing the 1st Workshop on Large Language Models for Individuals, Groups, and Society (LLMIGS 2024) in conjunction with WSDM 2024! (12/23)
🍻 Paper accepted by Neurips 2023 Workshop New Frontiers in Graph Learning! (11/23)
🔭 Interning @ Google Deep Mind! (05/23 - 11/23)
🚀 We are organizing the 3rd Workshop on Graph Learning Benchmarks (GLB 2023) in conjunction with KDD 2023! (04/23)
🍻 Paper accepted by LOG 2022 for oral presentation! (11/22)
📣 Check out our newly released graph learning platform: Graph-Learning-Benchmarks/gli (09/22)