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Prof. ZHOU Xiang (周翔博士)

PhD(Princeton University)
B.Sc. (Peking University)

Associate Professor

Contact Information

Office:  LAU-16-277
Phone: (+852) 3442-6421
Fax: (+852) 3442-0515
Email: xizhou@cityu.edu.hk
Web: Researchgate

Research Interests

  • applied and computational mathematics
  • rare event
  • stochastic dynamical system and machine learning.
My research focuses on the numerical and mathematical aspects of computational algorithms for scientific computing problems in complex dynamical systems arising in natural science and engineering. My work integrates tools from probability theory, stochastic processes, dynamical systems, numerical analysis, optimization, optimal control, and machine learning to design efficient methods for better understanding complex phenomena such as rare events.
The major research works include (1) the transition-state/saddle-point calculation on energy landscape; (2) optimal transition pathways in stochastic dynamical systems; (3) rare-event Monte Carlo simulation. More recent projects explore the interplay between machine learning and dynamical systems, with applications to longstanding challenges in rare events, generative approaches for sampling, learning, and models related to data and probility distribution.

I received the BSc from Peking University (School of Mathematical Sciences) and PhD from Princeton University (PACM). Before joining the Department of Mathematics City University of Hong Kong in 2012, he worked as a research associate at Princeton University and Brown University. I also joined the School of Data Science concurrently as one of founding memebers from 2018.

For PhD studentship applicants, please refer to the researchgate link at the right panel for details. https://www.researchgate.net/publication/377305937_Openings



Previous Experience

  • 2 Jan 2025 - Now, Associate Professor, Department of Mathematics, City University of Hong Kong.
  • 2 Jan 2025 - Now, Associate Professor, Department of Data Science, City University of Hong Kong. (Affiliated).
  • 1 Aug 2018 - 31 Aug 2024, Associate Professor, School of Data Science, City University of Hong Kong.
  • May 2012 - Jul 2018, Assistant Professor, Department of Mathematics, City University of Hong Kong.


Patents

  • ZHOU, Xiang (Inventor); XIAO, Bo (Inventor); PENG, Xianhua (Inventor)., 一種基於機器學習的金融衍生品對沖方法, China Patent No. 202410179678.4.


Publications Show All Publications


Journal

  • (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
  • (June 2011). The gentlest ascent dynamics. Nonlinearity. 24. 1831 - 1842. doi:10.1088/0951-7715/24/6/008


Service in CityUHK


Teaching Service

  • 2020 - 2025, Undergraduate , SDSC2002 Convex Optimization.
  • 2018 - Now, Postgraduate , MA6630 Introduction to Statistical Learning .
  • 2013 - 2018, Undergraduate , MA4546 Introduction to Stochastic Process.


Last update date : 15 Feb 2025