Yao, Zeyu, Bowen Gang, and Wenguang Sun. "Safe, Always-Valid Alpha-Investing Rules For Doubly Sequential Online Inference." arXiv preprint, arXiv:2512.12244 (2025).
Gang, Bowen, Shenghao Qin, and Yin Xia. "A Unified and Optimal Multiple Testing Framework based on rho-values." arXiv preprint arXiv:2310.17845 (2025).
Qin, Shenghao, Bowen Gang, Tiejun Tong, and Hengjian Cui. "The Bag-and-Whisker Plot: A New Bagplot for Bivariate Data." arXiv preprint arXiv:2512.06314 (2025).
Kuang, Qi, Bowen Gang, and Yin Xia. "Active Hypothesis Testing under Computational Budgets with Applications to GWAS and LLM." arXiv preprint arXiv:2512.01423 (2025).
Qin, Shenghao, 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).
Gang, Bowen, Luella Fu, Gareth James, and Wenguang Sun. "Ranking and Selection in Large-Scale Inference of Heteroscedastic Units." The Annals of Applied Statistics, To appear.
Banerjee, Trambak, Bowen Gang, and Jianliang He. "Harnessing The Collective Wisdom: Fusion Learning Using Decision Sequences From Diverse Sources." Biometrika, To appear.
Gang, Bowen, Hongmei Lin, and Tiejun Tong. "Unifying Boxplots: A Multiple Testing Perspective." Statistical Science, To appear.
Gang, Bowen, and Trambak Banerjee. "Large-Scale Multiple Testing of Composite Null Hypotheses Under Heteroskedasticity." Biometrika, To appear.
He, Jianliang, 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).
Gang, Bowen, 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.
Wang, Weinan, 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
Bao, Qiqi, 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 (2023): 8554-8565.
Gang, Bowen, Wenguang Sun, and Weinan Wang. "Structure–adaptive sequential testing for online false discovery rate control." Journal of the American Statistical Association 118, no. 541 (2023): 732-745.
Fu, Luella, 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.
Bao, Qiqi, 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.
Bao, Qiqi, 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.
Bao, Qiqi, 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.
Bao, Qiqi, 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, no. 4 (2021): 1628-1639.
Gang, Bowen, Gourab Mukherjee, and Wenguang Sun. "Large-Scale Shrinkage Estimation under Markovian Dependence." Book chapter for IISA Series on Statistics and Data Science  (2020).