个人简介
教育背景
博士,数学,美国南加利福尼亚大学
学士,数学,加拿大麦吉尔大学
教学获奖
2021.11,二等奖,中国工业与应用数学学会
科研项目
2023.01 - 2025.12, 项目负责人, 异方差大范围多重假设检验:复合零假设和广义功效, 国家自然科学基金青年项目
2022.04 - 2025.03, 项目负责人, 高维判别分析中的局部自适应性收缩估计方法, 上海市科学技术委员会2022年度“科技创新行动计划”启明星项目(扬帆专项)
近期论文
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Bowen Gang, Wenguang Sun, and Weinan Wang. 2023. Structure–Adaptive sequential testing for online false discovery rate control. Journal of the American Statistical Association 118(541).732-745.
Qiqi Bao, Bowen Gang, Wenming Yang, Jie Zhou, and Qingmin Liao. 2022. Attention-driven graph neural network for deep face super-resolution. IEEE Transactions on Image Processing 31.6455-6470.
Bowen Gang, Yuantao Shi, and Wenguang Sun. 2022. A locally adaptive shrinkage approach to false selection rate control in high-dimensional classification. Statistica Sinica forthcoming.1-41.
Qiqi Bao, Yunmeng Liu, Bowen Gang, Wenming Yang, and Qingmin Liao. 2022. S2Net: Shadow mask-based semantic-aware network for single-image shadow removal. IEEE Transactions on Consumer Electronics 68(3).209-220.
Qiqi Bao, Shiyu Mi, Bowen Gang, Wenming Yang, Jie Chen, and Qingmin Liao. 2022. MDAN: Mirror difference aware network for brain stroke lesion segmentation. IEEE Journal of Biomedical and Health Informatics 26(4).1628-1639.
Luella Fu, Bowen Gang, Gareth M. James, and Wenguang Sun. 2022. Heteroscedasticity-adjusted ranking and thresholding for large-scale multiple testing. Journal of the American Statistical Association 117(538).1028–1040.
会议/研讨会论文
Qiqi Bao, Rui Zhu, Bowen Gang, Pengyang Zhao, Wenming Yang, and Qingmin Liao. 2022. Distilling resolution-robust identity knowledge for texture-enhanced face hallucination. Proceedings of the 30th ACM International Conference on Multimedia Lisboa, Portugal.6727-6736.