Dr. SHAO Hui is an Assistant Professor of Quantitative Finance at ZIBS. He received his Ph.D. in 2017 from the School of Mathematical Sciences, Peking University. From 2015 to 2017, he served as a Research Assistant at the Quantitative Finance Centre, National University of Singapore. From 2017 to 2020, he worked as a Research Fellow at the Risk Management Institute, National University of Singapore.
Education
Work Experience
11/2020 – Present, Assistant Professor of Quantitative Finance, Zhejiang University
01/2020 – 11/2020, Assistant Professor of Statistics, Nankai University
04/2017 – 01/2020, Research Fellow, Risk Management of Institute, NUS
10/2015 – 04/2017 Research Assistant, Center for Quantitative Finance, NUS
Publications
Journal Articles
[10] Jiang, T., Jin, C., Liu, X., & Shao, H. (2026). Measuring tail liquidity spillovers between China’s stock and bond markets based on QVAR. Systems Engineering — Theory & Practice, forthcoming.
[9] Tao Ren et al. 2026. RiskPO: Risk-Based Policy Optimization with Verifiable Reward for Language Models Post-Training. ICLR 2026.
[8] Wang, Y., He, X., Shao, H., & Li, S. (2026). The mechanism linking corporate supply chain risk and bond default: An empirical study based on SHAP. Systems Science and Mathematics, forthcoming.
[7] Haoyang Huang, Hui Shao, Meng Zhang, Zhibo Zhang. 2026. Conditional Age-at-Risk for Task Assignment Across Heterogeneous Servers. INFOCOM 2026.
[6] Qi Sun, Hui Shao, Zeping Xu, Qihui Lu, Junyong Ma. 2025. The Influence of Government Regulations on Online Public Opinion and Retailer Channel Strategies. Journal of the Operational Research Society, forthcoming.
[5] Hui Shao, Zhe George Zhang. 2024. Extreme-Case Distortion Risk Measures: A Unification and Generalization of Closed-Form Solutions. Mathematics of Operations Research, 49(4), 2341-2355.
[4] Hui Shao, Zhe George Zhang. 2024. A Class of Distorted Gaussian Copulas: Theories and Applications. Journal of the Operational Research Society, 75(11), 2077-2100.
[3] Hui Shao, Zhe George Zhang. 2023. Distortion Risk Measure Under Parametric Ambiguity. European Journal of Operational Research, 311(3), 1159-1172.
[2] Lujun Li, Hui Shao, Ruodu Wang, Jingping Yang. 2018. Worst-Case Range Value-at-Risk with Partial Information. SIAM Journal on Financial Mathematics, 9(1), 190-218.
[1] Hui Shao. 2017. Decomposing Aggregate Risk into Marginal Risks Under Partial Information: A Top-Down Method. Statistics and Probability Letters, 124, 97-100.
Research Interests
Artificial Intelligence
Applied Probability
Financial Engineering
Teaching Courses
+86 (0)573-87572691
huishao@intl.zju.edu.cn
Room 328, ZIBS Building
Office Hours: Each Thursday 13:00-16:00
