研究方向：

序贯假设检验（e-value, e-process）、机器学习理论

教育经历：

2013.09-2017.06　河北大学　数学与应用数学 　本科/学士

2017.09-2020.06　西安交通大学　应用统计学 　研究生/硕士

2020.11-2025.02　荷兰莱顿大学/荷兰数学与计算机科学中心　统计学 　研究生/博士

工作经历：

2025.04-2026.08　香港中文大学　博士后

2026.09-至今　天津大学应用数学中心　讲师

代表性论文与著作：

[1] Y. Hao and P. Grünwald. E-values for exponential families: the general case. Bernoulli 32 (4), 3113-3142. 2026.

[2] P. Grünwald, T Lardy, Y. Hao, SK Bar-Lev and M de Jong. Optimal e-values for exponential families: The simple case. To appear in Information Theory, Probability and Statistical Learning - A Festschrift in Honor of Andrew Barron, (Klusowski, J., Kontoyiannis, I., and Rush, C., editors), Springer (invited paper), 2026.

[3] C. Tan, Y. Zhou, H. Ye, G Dai, J. Liu, Z. Song, J. Zhang, Z. Zhao, Y. Hao, Y. Xu. Towards understanding the calibration benefits of sharpness-aware minimization. ICLR, 87728-87748. 2026.

[4] C. Tan, J. Zhang, J. Liu, Y. Wang, Y. Hao. Stabilizing sharpness-aware minimization through a simple renormalization strategy. JMLR 26 (68), 1-35. 2025.

[5] P. Grünwald, Y. Hao, A Balsubramani. Growth-Optimal E-Variables and an extension to the multivariate Csisz\'ar-Sanov-Chernoff Theorem. arXiv preprint arXiv:2412.17554. 2024.

[6] Y. Hao, P. Grünwald, T. Lardy, L. Long and R. Adams. E-values for k-Sample Tests with Exponential Families. Sankhya A 86 (1), 596-636. 2024.

[7] Y. Hao, M. Cai, L. Li. Drug repositioning via matrix completion with multi-view side information. IET Systems Biology 13 (5), 267-275. 2019.