I am a fourth-year PhD student at Courant Institute of Mathematical Sciences, New York University. I am fortunate to be advised by Prof. Jonathan Weare.
My research interest is in analysis, design and application of Monte Carlo sampling methods.
Before my PhD study, I obtained my B.S. degree in Computational Mathematics at Peking University. I worked with Prof. Lei Zhang and Prof. Tiejun Li. During my undergraduate study, I was mostly interested in mathematical modeling of biological system, which in the end inspires me to study more on stochasticity.
Publications
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Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare. Improved Active Learning via Dependent Leverage Score Sampling. link
International Conference on Learning Representations (ICLR 2024).
Invited for oral presentation. -
Xiaoou Cheng, Maria R. D’Orsogna, Tom Chou. Mathematical Modeling of Depressive Disorders: Circadian Driving, Bistability and Dynamical Transitions. link
Computational and Structural Biotechnology Journal (2021).
Contact
- Email: chengxo_at_nyu_edu