Hello! I am a PhD student at School of Computing, National University of Singapore (NUS), advised by Prof Wynne Hsu and Prof Mong Li Lee. I am passionate about developing robust models that generalize and adapt to out-of-distribution data, and leveraging AI to solve healthcare challenges with real-world clinical data.
Before starting my PhD, I received my Bachelor’s degree in Computer Science from NUS in 2021. My thesis was supervised by Prof Zhiyong Huang.
I welcome inquiries regarding research and potential collaborations. You can reach me via email.
Publications
(* indicates equal contribution)
Test-Time Adaptation by Causal Trimming
Yingnan Liu, Rui Qiao, Mong Li Lee, Wynne Hsu
In Neural Information Processing Systems (NeurIPS), 2025
Cross-Domain Feature Augmentation for Domain Generalization
Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong Li Lee, Wynne Hsu
In International Joint Conference on Artificial Intelligence (IJCAI), 2024
Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models
Xiaodi Liu*, Yingnan Liu*, Mong Li Lee, Wynne Hsu, Ming Han Lincoln Liow
In npj Digital Medicine, 2024
[paper][code][poster][reply to matter arising]
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong Li Lee, Wynne Hsu
In International Conference on Learning Representation (ICLR), 2024 (Spotlight Top 5%)
Academic Service
Reviewer for
- ICLR 2025, 2026
- Workshop on Test-Time Updates at ICML 2025, ICLR 2026
Teaching
Teaching assistant for
- CS2309 Research Methodology, Fall 2024
- CS3244 Machine Learning, Fall 2020
- CS2105 Introduction to Computer Networks, Spring 2020 and Spring 2021