Prof. Chenchen Mou received his bachelor's degree in math, actuarial science and risk management, from Jilin University, China, in 2009. He received master's degree in mathematics from Jilin University, China, in 2011. He received his PhD in mathematics from Georgia Institute of Technology, USA, in 2016. Before joining City University of Hong Kong in 2020, he worked as an assistant adjunct professor at UCLA.
Awards and Achievements
- 2024 “The Hong Kong Mathematical Society Young Scholars Award” The Hong Kong Mathematical Society.
- 2024 “The CSCI Outstanding Young Research Award” City University of Hong Kong.
Selected Publications
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Cui, J.; Dang, T.; Mou, C. Finite difference schemes for Hamilton--Jacobi equation on Wasserstein space on graphs. preprint (2025), arXiv:2504.13463, 32pp.
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Mou, C.; Zhang, J.; Zhou, J. Second-order monotonicity conditions and mean field games with volatility control. preprint (2025), arXiv:2503.10097, 44pp.
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Delarue F.; Mou, C. Major-minor mean field games: common noise helps. preprint (2025), arXiv:2501.02627, 88pp.
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Liao, H.; Mou, C. A particle system approach towards the global well-posedness of master equations for potential mean field games of control. preprint (2024), arXiv:2412.11742, 44pp.
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Liao, H.; Meszaros, A.; Mou, C.; Zhou, C. Convergence analysis of controlled particle systems arising in deep learning: from finite to inifinite sample size. preprint (2024), arXiv:2404.05185, 45pp.
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Guo, J.; Mou, C.; Yang, X.; Zhou, C. Decoding mean field games from population and environment observations by Gaussian processes. J. Comput. Phys. 508 (2024), Paper No. 112978, 22pp.
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Bansil, M.; Meszaros, A.; Mou, C. Global well-posedness of displacement monotone degenerate mean field games master equations. accepted in the SIAM J. Control Optim, 21pp.
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Gangbo, W.; Mou, C.; Swiech, A. Well-posedness for Hamilton-Jacobi equations on the Wasserstein space on graphs. Calc. Var. Partial Differential Equations 63 (2024), Paper No. 160.
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Mou, C.; Zhang, J. Minimal solutions of master equations for extended mean field games. J. Math. Pures Appl. 184 (2024), 190-217.
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Li, M.; Mou, C.; Wu, Z.; Zhou, C. Linear-quadratic mean field games of controls with non-monotone data. Trans. Amer. Math. Soc. 376 (2023), 4105-4143.
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Liu, H.; Mou, C.; Zhang, S. Inverse problems for mean field games. Inverse Probl. 39 (2023), Paper No. 8, 30pp.
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Mou, C.; Zhang, J. Mean field games of controls: propagation of monotonicities. Probab. Uncertain. Quant. Risk 7 (2022), 247–274.
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Mou, C.; Zhang, J. Mean field game master equations with anti-monotonicity conditions. accepted in the J. Eur. Math. Soc., 31pp.
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Mou, C.; Yang, X.; Zhou, C. Numerical methods for mean field games based on Gaussian processes and Fourier features. J. Comput. Phys. 460 (2022), Paper No. 111188, 29pp. Finalist of Bachelier Finance Society Junior Scholar Paper Competition.
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Gangbo, W.; Meszaros, A.; Mou, C.; Zhang, J. Mean field games master equations with non-separable Hamiltonians and displacement monotonicity. Ann. Probab. 50 (2022), 2178–2217.
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Mou, C.; Zhang, J. Wellposedness of second order master equations for mean field games with nonsmooth data. Mem. Amer. Math. Soc. 302 (2024), no. 1515, 86pp.
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Gong, R.; Mou, C.; Swiech, A. Stochastic representations for solutions to parabolic Dirichlet problems for nonlocal Bellman equations. Ann. Appl. Probab. 29 (2019), no. 6, 3271–3310.
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Guillen, N.; Mou, C.; Swiech, A. Coupling Lévy measures and comparison principles for viscosity solutions. Trans. Amer. Math. Soc. 372 (2019), no. 10, 7327–7370.
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Mou, C. Perron's method for nonlocal fully nonlinear equations. Anal. PDE 10 (2017), no. 5, 1227–1254.
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Mou, C.; Yi, Y. Interior regularity for regional fractional Laplacian. Comm. Math. Phys. 340 (2015), no. 1, 233–251.
Last update date :
21 Apr 2025
