Dr Xiang ZHOU (周翔)

PhD – Princeton University, USA

Associate Professor

Dr Xiang ZHOU

Contact Information

Office: P6714 Academic 1
Phone: +852 3442-6421
Fax: +852 3442-0250
Email: xizhou@cityu.edu.hk
Web: Personal Homepage

Research Interests

  • Noise-induced transition
  • Rare event in stochastic systems
  • Large deviation
  • Risk analysis

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.


  1. Convex splitting method for the calculation of transition states of energy functional (S. Gu and X. Zhou, J. Comp. Phys., 2017)
  2. Iterative minimization algorithm for efficient calculations of transition states ( W. Gao, J. Leng and X. Zhou J. Comp. Phys., vol.309, pp. 69-87. 2016)
  3. Finding transition pathways on manifolds (T. Li, X. Li and X. Zhou, Multiscale Model Simul., vol.14, pp. 173-206, 2016)
  4. An iterative minimization formulation for saddle-point search (W. Gao, J. Leng and X. Zhou, SIAM J. Numer. Anal., 53(4), pp.1786–1805, 2015)
  5. Efficient rare event simulation for failure problems in random media (J. Liu, J. Lu and X. Zhou, SIAM J. Sci. Comput., 37(2), pp. A609–A624, 2015)
  6. Escaping from an attractor: Importance sampling and rest points I (P. Dupuis, K. Spiliopoulos and X. Zhou, Ann. Appl. Prob., 25(5), pp.2909-2958, 2015)
  7. Subcritical bifurcation in spatially extended systems ( W. E, X. Zhou and X. Cheng, Nonlinearity, vol.25, p761, 2012)
  8. The gentlest ascent dynamics (W. E and X. Zhou, Nonlinearity, 24(6), p1831,2011)
  9. Adaptive minimum action method for the study of rare events. (W. Ren, W. E and X. Zhou, J. Chem. Phys. vol.128, p.10411, 2008)