Educational Background
Doctor Degree,Statistics,University of Wisconsin-Madison, USA
Bachelor Degree,Statistics,Peking University
Journal Papers
| 1. | Chenyang Jiang, Bowen Hu, Yazhen Wang, and Shang Wu. 2025. Reinforcement learning via nonparametric smoothing in a continuous-time stochastic setting with noisy data. Statistica Sinica 35(2) 831-852.  |
| 2. | Yazhen Wang, Shang Wu, and Hongzhi Liu. 2023. Statistical analysis of quantum annealing. Statistica Sinica 33(3) 1943-1958. |
| 3. | Yazhen Wang and Shang Wu. 2020. Asymptotic analysis via stochastic differential equations of gradient descent algorithms in statistical and computational paradigms. Journal of Machine Learning Research 21 1-103. |
| 4. | Yazhen Wang, Shang Wu, and Jian Zou. 2016. Quantum annealing with markov chain monte carlo simulations and d-wave quantum computers. Statistical Science 31(3) 362-398. |
Research Projects
2025.01—2028.12, Member, Efficient Change-Point Inference for Relevant Structures of Ultra-High Dimensional Complex Data, National Natural Science Foundation of China
2023.10—2024.10, Principal Investigator, Time Series Problems in High-Frequency Data, Shanghai Huiyan Private Fund Management Co., Ltd
Academic Posts
2024.04—,理事,全国工业统计学教学研究会青年统计学家协会
2023.08—,理事,中国现场统计研究会统计交叉科学研究分会
Academic Conferences
2023.08, 2023 Hangzhou International Conference on Frontiers of Data Science, Hangzhou, China
2023.08, The 6th International Conference on Econometrics and Statistics, Virtual Conference
2023.07, The 9th Renmin University of China International Forum on Statistics, Beijing
2021.09, 2021 International Chinese Statistical Association (ICSA) Applied Statistics Symposium, Virtual Conference
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