Postdoc (Stanford University)

Postdoc (University of Waterloo)

PhD (Tsinghua University)

BSc (Tsinghua University)

Dr. LIU Yang currently serves as an Assistant Professor at the School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). He obtained his bachelor's (2016) and doctoral (2021) degrees from the Department of Mathematical Sciences at Tsinghua University. Subsequently, he held postdoctoral positions at the University of Waterloo and Stanford University. His research areas include financial mathematics, applied probability, operations research, actuarial science, and reinforcement learning.

Dr. LIU Yang's primary focus lies in the exploration of stochastic complex systems and structures in finance and insurance. His research addresses intricate challenges such as portfolio selection with non-concave/convex utility optimization and robust risk aggregation/sharing/measurement under dependence uncertainty. His scholarly contributions have been published in leading journals including Operations Research, Mathematical Finance, Finance and Stochastics, and SIAM Journal on Control and Optimization. He has been recognized with awards such as the Outstanding PhD Graduate of Beijing and the Outstanding Doctoral Thesis Award from Tsinghua University. Furthermore, he maintains a strong interest in the modeling and applications of machine learning and statistical methods to finance and insurance.

Dr. LIU Yang's research group is actively seeking postdoctoral and doctoral candidates. If you possess a passion for academic research, a solid foundation in mathematics, and aligning research interests, you are welcome to make direct contact via email.

1. (with Jose Blanchet, Henry Lam and Ruodu Wang) Convolution Bounds on Quantile Aggregation (2024). Operations Research, forthcoming.
2. (with Zongxia Liang and Litian Zhang) A Framework of State-dependent Utility Optimization with General Benchmarks (2024). Finance and Stochastics, forthcoming.
3. (non-alphabetical) Yao Xu, Xinzhi Liu, Lu Zhang, Wenxue Li, Yongbao Wu and Yang Liu. Fixed-time Bipartite Synchronization of Nonlinear Impulsive Time-varying Signed Networks with Delays (2024). Applied Mathematics and Computation, 480, 128905.
4. (with Zongxia Liang, Ming Ma and Rahul Pothi Vinoth) A Unified Formula of the Optimal Portfolio for Piecewise HARA Utilities (2024). Quantitative Finance, 24(2), 281-303.
5. (with Zongxia Liang) An Asymptotic Approach to Centrally-planned Portfolio Selection (2024). Advances in Applied Probability, 56(3), 757-784.
6. (with Tolulope Fadina and Ruodu Wang) A Framework for Measures of Risk under Uncertainty (2024). Finance and Stochastics, 28, 363-390.
7. (with Guohui Guan, Lin He, Zongxia Liang and Litian Zhang) Robust Dividend, Financing and Reinsurance Strategies under Model Uncertainty with Proportional Transaction Costs (2024). North American Actuarial Journal, 28(2), 261-284.
8. (with Yuyu Chen, Peng Liu and Ruodu Wang) Ordering and Inequalities of Mixtures on Risk Aggregation (2022). Mathematical Finance, 32(1), 421-451.
9. (with Zongxia Liang) A Classification Approach to General S-shaped Utility Optimization with Principals' Constraints (2020). SIAM Journal on Control and Optimization, 58(6), 3734-3762.
10. (with Lin He, Zongxia Liang and Ming Ma) Weighted Utility Optimization of the Participating Endowment Contract (2020). Scandinavian Actuarial Journal, 2020(7), 577-613.
11. (with Lin He, Zongxia Liang and Ming Ma) Optimal Control of DC Pension Plan Management under Two Incentive Schemes (2019). North American Actuarial Journal, 23(1), 120-141.