About Me

I am a Master’s student in Data Science (MSE) at the Department of Applied Mathematics and Statistics, Johns Hopkins University (Jan 2026 – Present).

Generally, I’m curious about what phenomenon is common across different kinds of models, why these phenomenon happen and how I can affect them in various ways. Specifically, my current research focuses on Scientific Machine Learning (SciML) — understanding the loss landscape geometry and training dynamics of physics-informed models.

Previously, I received my B.E. in Data Science and Big Data Technology from Tongji University (2019–2023). Then, I worked as a Software Development Engineer at Beijing Dajia Internet Information Technology (Kuaishou) (2023–2025), where I built performance analysis tools and maintain JS container for large-scale mobile systems. I have also worked as an intern mentored by Prof. Yaoqing Yang and Pu Ren.

News

• [May 2026] Paper accepted at ICML 2026: Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization

Selected Publications

Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization
Yuxin Wang*, Yuanzhe Hu*, Xiaokun Zhong*, Xiaopeng Wang*, Haiquan Lu, Tianyu Pang, Michael W. Mahoney, Yujun Yan, Pu Ren, Yaoqing Yang
International Conference on Machine Learning (ICML), 2026
[Paper] [Code]

Contact

ruangyx@gmail.com / ywan1150@jh.edu

Other

I enjoy reading various kinds of novels! My happiness comes from building imagination within reality and seeking reality within those fantasies. Actually, I’m trying to make my life becomes an adventure novel and my future research becomes a detective novel.