Bio
I am now a second year Computer Science Ph.D. student in Big Data and Social Computing (BDSC) Lab at University of Illinois Chicago (UIC), advised by Prof. Philip S. Yu. Before joining UIC in Spring 2023, I obtained my Master’s degree in Operations Research from Columbia University in Fall 2022 and Bachelor’s degree in Industrial Engineering from Nanjing University in Spring 2021.
I am interested in Trustworthy Machine Learning, especially the theory and application of Uncertainty Quantification and Conformal Prediction.
Publication
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu.
Transaction on Machine Learning Research (TMLR). 2024.Equal Opportunity of Coverage in Fair Regression
Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu.
Neural Information Processing Systems (NeurIPS). 2023.
[Paper][Code][Virtual Poster]
Internship
- Data Scientist Intern, Marketing and Advertising Technology (MAT), Walmart Global Tech, May 2022 - Aug 2022.
Awards
- SDM 2024 Doctoral Forum Travel Award
- NeurIPS 2023 Travel Award
Service
- Reviewer of ICLR 2025, AISTATS 2025, NeurIPS 2024, KDD 2024, AAAI 2024