Yangyi Li
Position
- PhD Student
Yangyi Li is a Ph.D. student in Computer Science at Iowa State University, where he is advised by Dr. Mengdi Huai. His current research interests lie broadly in the areas of trustworthy learning systems and uncertainty quantification.
Area of Expertise
- Trustworthy Machine Learning
Education
- B.A., National Economic Management, Sichuan University
- B.S., Math and Applied Math, Sichuan University
Publications
- Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai, “Data Poisoning Attacks against Conformal Prediction,” Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.
- Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai. Rethinking Adversarial Robustness in the Context of the Right to be Forgotten. Accepted to Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.
- Wei Qian*, Chenxu Zhao*, Yangyi Li*, Fenglong Ma, Chao Zhang, and Mengdi Huai (*Equal Contribution). Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.