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

• 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