Bradley Rava, Bowen Gang📨. "Neyman-Pearson Classification with Indecisions: Simultaneous Control of Selective Type I and Type II Errors" arXiv preprint arXiv:2610.04233 (2026).
Qi Kuang*, Bowen Gang, and Yin Xia. "Gaussian Differentially Private e-values: Construction, Threshold Calibration, and Multiple Testing" arXiv preprint arXiv:2605.29388 (2026).
Shenghao Qin*, Bowen Gang, and Yin Xia. "A Unified and Optimal Multiple Testing Framework based on rho-values." arXiv preprint arXiv:2310.17845 (2025).
Qi Kuang*, Bowen Gang, and Yin Xia. "Active Hypothesis Testing under Computational Budgets with Applications to GWAS and LLM." arXiv preprint arXiv:2512.01423 (2025).
Shenghao Qin*, Jianliang He*, Qi Kuang*, Bowen Gang, and Yin Xia. "SAT: Data-light Uncertainty Set Merging via Synthetics, Aggregation, and Test Inversion." arXiv preprint arXiv:2410.12201 (2025).
Zeyu Yao*, Wenguang Sun, and Bowen Gang📨. "Safe, Always-Valid Alpha-Investing Rules For Doubly Sequential Online Inference." Journal of the American Statistical Association accepted.
Shenghao Qin*, Bowen Gang📨, Tiejun Tong, and Hengjian Cui. "The Bag-and-Whisker Plot: A New Bagplot for Bivariate Data." Journal of Computational and Graphical Statistics accepted.
Qi Kuang*, Bowen Gang, and Yin Xia. "SCORE: A Unified Framework for Overshoot Refund in Online FDR Control." ICML 2026 accepted.
Runzhe Gu*, Wenguang Sun, Bowen Gang, and Xintao Xia "Anytime-Valid Inference for Online Ranking of Large Language Models." ICML 2026 accepted.
Tiejun Tong, Hongmei Lin, Bowen Gang, and Riquan Zhang. "ChauBoxplot and AdaptiveBoxplot: two R packages for boxplot-based outlier detection." Statistical Theory and Related Fields (2026): 1-10.
Bowen Gang, Luella Fu, Gareth James, and Wenguang Sun. "Ranking and Selection in Large-Scale Inference of Heteroscedastic Units." The Annals of Applied Statistics, (2026) Vol. 20 No.1, 789-808
Trambak Banerjee, Bowen Gang📨, and Jianliang He*. "Harnessing the collective wisdom: fusion learning using decision sequences from diverse sources." Biometrika 113, no. 1 (2026): asaf080.
Bowen Gang📨, Hongmei Lin, and Tiejun Tong. "Unifying Boxplots: A Multiple Testing Perspective." Statistical Science, To appear.
Bowen Gang, and Trambak Banerjee. "Large-scale multiple testing of composite null hypotheses under heteroskedasticity." Biometrika 112, no. 2 (2025): asaf007.
Jianliang He*, Bowen Gang📨, and Luella Fu. "False Discovery Control in Multiple Testing: A Brief Overview of Theories and Methodologies." Book chapter in ICSA Book Series in Statistics: Big Data Analytics in Biostatistics and Bioinformatics (2025).
Bowen Gang📨, Yuantao Shi*, and Wenguang Sun. "A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification." Statistica Sinica 34 (2024), 1821-1842.
Weinan Wang, Bowen Gang, and Wenguang Sun. "Sparse recovery with multiple data streams: A sequential adaptive testing approach." Journal of Machine Learning Research, 25 no. 304 (2024):1-59
Qiqi Bao, Yunmeng Liu, Bowen Gang, Wenming Yang, and Qingmin Liao. SCTANet: A spatial attention-guided CNN-transformer aggregation network for deep face image super-resolution. IEEE Transactions on Multimedia, 25:8554–8565, 2023.
Bowen Gang, Wenguang Sun, and Weinan Wang. Structure–adaptive sequential testing for online false discovery rate control. Journal of the American Statistical Association, 118(541):732–745, 2023.
Luella Fu, Bowen Gang, Gareth M. James, and Wenguang Sun. "Heteroscedasticity-adjusted ranking and thresholding for large-scale multiple testing." Journal of the American Statistical Association 117, no. 538 (2022): 1028-1040.
Qiqi Bao, Yunmeng Liu, Bowen Gang, Wenming Yang, and Qingmin Liao. "S 2 net: Shadow mask-based semantic-aware network for single-image shadow removal." IEEE Transactions on Consumer Electronics 68, no. 3 (2022): 209-220.
Qiqi Bao, Rui Zhu, Bowen Gang, Pengyang Zhao, Wenming Yang, and Qingmin Liao. "Distilling resolution-robust identity knowledge for texture-enhanced face hallucination." In Proceedings of the 30th ACM International Conference on Multimedia, pp. 6727-6736. 2022.
Qiqi Bao, Bowen Gang, Wenming Yang, Jie Zhou, and Qingmin Liao. "Attention-driven graph neural network for deep face super-resolution." IEEE Transactions on Image Processing 31 (2022): 6455-6470.
Qiqi Bao, Shiyu Mi, Bowen Gang, Wenming Yang, Jie Chen, and Qingmin Liao. MDAN: Mirror difference aware network for brain stroke lesion segmentation. IEEE Journal of Biomedical and Health Informatics, 26(4):1628–1639, 2021.
Bowen Gang, Gourab Mukherjee, and Wenguang Sun. Large-scale shrinkage estimation under Markovian dependence. Book chapter for IISA Series on Statistics and Data Science, 2020.