Dr Xiang Zhou received his BSc from Peking University and PhD from Princeton University. Before joining City University in 2012, he worked as a research associate at Princeton University and Brown University. His major research area is the study of rare event. His research interests include the development and analysis of algorithms for transitions in nonlinear stochastic dynamical systems, the efficient Monte Carlo simulation of rare events, the numerical methods for saddle point and the exploration of high dimensional non-convex energy landscapes in physical models and machine learning models. His research results have turned into peer-reviewed papers in SIAM journals, Journal of Computational Physics, Journal of Chemical Physics, Nonlinearity and Annals of Applied Probability, etc.

Previous Experience

• May 2012 - Jun 2018, Assistant Professor, Department of Mathematics, City University of Hong Kong.

Research Interests

• applied and computational mathematics
• rare event in stochastic nonlinear dynamical systems
• stochastic modelling, simulation, optimization, analysis and application to/from machine learning.

Publications

Journal

• (May 2020).Stochastic dynamics of an active particle escaping from a potential well.Chaos.30. 053133doi:10.1063/1.5140853
• (June 2019).Quasi-potential calculation and minimum action method for limit cycle.Journal of Nonlinear Science.29. 961- 991.doi:10.1007/s00332-018-9509-3
• (March 2016).Iterative minimization algorithm for efficient calculations of transition states.Journal of Computational Physics.309. 69- 87.doi:10.1016/j.jcp.2015.12.056
• (January 2015).A cross-entropy scheme for mixtures.ACM Transactions on Modeling and Computer Simulation.25.doi:10.1145/2685030
• (June 2011).The gentlest ascent dynamics.Nonlinearity.24. 1831- 1842.doi:10.1088/0951-7715/24/6/008

Links

• ResearchGate Profile

Last update date : 08 Sep 2021