Scholar
Yingnan Liu
Google Scholar ID: KMUv_rMAAAAJ
National University of Singapore
Citations & Impact
Citations
25
H-index
3
i10-index
1
Publications
4
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published 'Test-Time Adaptation by Causal Trimming' at NeurIPS 2025; 'Cross-Domain Feature Augmentation for Domain Generalization' at IJCAI 2024; 'Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models' at npj Digital Medicine 2024; 'Towards Robust Out-of-Distribution Generalization Bounds via Sharpness' at ICLR 2024, which was selected as Spotlight Top 5%.
Research Experience
- Reviewer for several conferences; published papers in Neural Information Processing Systems (NeurIPS), International Joint Conference on Artificial Intelligence (IJCAI), etc.; involved in research on identifying who are unlikely to benefit from total knee arthroplasty using machine learning models.
Education
- Received Bachelor's degree in Computer Science from the School of Computing, National University of Singapore in 2021, advised by Prof. Zhiyong Huang.
Background
- Research interests: Generalization/adaptation under distribution shift and AI for healthcare. Currently a Ph.D. student at the School of Computing, National University of Singapore.
Miscellany
- Teaching assistant for CS2309 Research Methodology (Fall 2024), CS3244 Machine Learning (Fall 2020), and CS2105 Introduction to Computer Networks (Spring 2020 and Spring 2021).
Co-authors