Guanghui Min (闵广辉)

Ph.D. Student in Computer Science, University of Virginia

guanghui [AT] virginia.edu

Biography

My name is Guanghui Min (pronunciation: /ɡwɑːŋ-hweɪ mɪn/), a second-year Computer Science Ph.D. student at University of Virginia. I am very fortunate to be advised by Prof. Chen Chen.

My current interests focus on Graph Machine Learning and Theory as well as their applications in Epidemiology, Chemistry, Financial Markets and so on.

I completed my Master's degree in Applied Statistics at the University of Michigan, Ann Arbor in 2020, supervised by Prof. Kerby Shedden. Prior to that, I earned my Bachelor's degree in Statistics from the School of Mathematics and Statistics at Wuhan University. I worked as a full-time Senior Machine Learning Engineer at the Innovation Center of Yinhua Fund Management Co., Ltd, a leading public fund (with an AUM exceeding 1 trillion CNY, as of 2021) in mainland China from 2020 to 2024.

Publications

indicates equal contribution. Full publications on Google Scholar.

Scaling Epidemic Inference on Contact Networks: Theory and Algorithms

Guanghui Min, Yinhan He, Chen Chen

NeurIPS'25: The 39th Annual Conference on Neural Information Processing Systems. 2025.

Exploring Generative Approaches for Predicting Copolymer Sequences from Reaction Conditions

Guanghui Min, Wenxin Xu, Kateri DuBay, Chen Chen

NeurIPS'25 AI for Science Workshop. 2025.

Scaling Epidemic Inference on Contact Networks: Theory and Algorithms

Guanghui Min, Yinhan He, Chen Chen

NeurIPS'25: The 39th Annual Conference on Neural Information Processing Systems. 2025.

Demystifying Epidemic Containment in Directed Networks: Theory and Algorithms

Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li

WSDM'25: The 18th ACM International Conference on Web Search and Data Mining. 2025.

Vitæ

Full Resume in PDF. (Updated on Oct 27, 2025)

Certificates

CFA (Chartered Financial Analyst) Level III Candidate
Level II Passed Date: May 2023 [badge]
Qualification Certificate of Fund issued by Asset Management Association of China (AMAC)
Issue date: Nov 17, 2020 [certificate]

Academic Awards

NeurIPS Scholar Award, 2025
UVA Computer Science Scholarship, 2024
US MCM Competition, Honorable Mention, 2017
Wuhan University Third-Class Scholarship (top 15%), statistics, 2016, 2017, 2018
Wuhan University Second-Class Scholarship (top 10%), fundamental mathematics, 2015
Wuhan University Freshman Scholarship, fundamental mathematics, 2014

Academic Services

Conference Program Committee
ICLR (2026), CIKM (2025)

Teaching

Teaching Assistant
CS 6205: Research Methods in Human-Computer Interaction, Fall 2025, UVA.

Miscellaneous

Learn more about me

Acknowledgement

This website uses the website design and template by Prof. Martin Saveski.