Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-3835-3894
Scopus Author ID: 55743301100
Google Scholar Profile: Z0RHcg4AAAAJ
Impact
Qualifications (Brief)
PhD – Princeton University, USA
Biography
Dr Xiang Zhou received his BSc from Peking University and PhD from Princeton University. Before joining the Department of Mathematics at City University in 2012, he worked as a research associate at Princeton University and Brown University. He is jointly appointed in the School of Data Science and the Department of Mathamatics since 2018.
His major research interests include noise-induced transitions and stochastic systems, the study of rare events and its applications in physics, chemistry, biology, engineering and finance. His recent works include the transition state calculations, the interface between the machine learning algorithms, stochastic systems, optimal control and rare events.
Research Interests/Areas
- Applied and Computational Mathematics
- Rare events in stochastic systems
- Algorithms for transition states
- stochastic and non-linear dynamics with applications
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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A New Method for Financial Derivatives Hedging Based on Machine Learning
ZHOU, X. (Inventor), XIAO, B. (Inventor) & PENG, X. (Inventor), 18 Feb 2025, (Accepted/In press/Filed) Priority No. 22025103634.3Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
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A New Method for Financial Derivatives Hedging Based on Machine Learning
ZHOU, X. (Inventor), XIAO, B. (Inventor) & PENG, X. (Inventor), 18 Feb 2025, (Accepted/In press/Filed) Priority No. PCT/CN2025/077841Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
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Approximation of functionals on Korobov spaces with Fourier Functional Networks
Liu, P., Liu, Y., Zhou, X. & Zhou, D.-X., Feb 2025, In: Neural Networks. 182, 106922.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile14 Downloads (CityUHK Scholars) -
PROBABILITY FLOW APPROACH TO THE ONSAGER-MACHLUP FUNCTIONAL FOR JUMP-DIFFUSION PROCESSES
HUANG, Y., ZHOU, X. & DUAN, J., Apr 2025, In: SIAM Journal on Applied Mathematics. 85, 2, p. 524-547Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Citation (Scopus) -
Critical points, stability, and basins of attraction of three Kuramoto oscillators with isosceles triangle network
ZHAO, X. & ZHOU, X., Dec 2024, In: Applied Mathematics Letters. 158, 6 p., 109246.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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GRF: Machine-Learning-based String Method for Minimum Energy Path in Probability Measure Space
ZHOU, X. (Principal Investigator / Project Coordinator)
1/01/24 → …
Project: Research
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GRF: Topics on Dynamics and Algorithms for Saddle Point Calculation
ZHOU, X. (Principal Investigator / Project Coordinator)
1/09/22 → …
Project: Research
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GRF: Theory of Deep Learning: from CNNs to RNNs
ZHOU, X. (Principal Investigator / Project Coordinator)
1/01/22 → …
Project: Research
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ResCtrs: Liu Bie Ju Centre for Mathematical Sciences (LBJ) (University Fund)
LU, Y. Y. (Principal Investigator / Project Coordinator), CHAN, H. F. R. (Co-Investigator), DAI, D. (Co-Investigator), FENG, H. (Co-Investigator), HO, W. C. D. (Co-Investigator), LIAN, H. (Co-Investigator), LIU, H. (Co-Investigator), LO, W. C. (Co-Investigator), MOU, C. (Co-Investigator), QIU, W. (Co-Investigator), SMALE, S. (Co-Investigator), WONG, S. C. R. (Co-Investigator), WYLIE, J. J. (Co-Investigator), XIANG, W. (Co-Investigator), ZHANG, S. (Co-Investigator), ZHOU, X. (Co-Investigator) & ZHUANG, X. (Co-Investigator)
1/11/97 → …
Project: Research
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GRF: Machine-Learning Algorithms for Transition Path Theory to Study Rare Transition Events
ZHOU, X. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research