Shu, Hai

5 publications

AAAI 2025 Conditional Diffusion Models Based Conditional Independence Testing Yanfeng Yang, Shuai Li, Yingjie Zhang, Zhuoran Sun, Hai Shu, Ziqi Chen, Renming Zhang

AISTATS 2024 DeepFDR: A Deep Learning-Based False Discovery Rate Control Method for Neuroimaging Data Taehyo Kim, Hai Shu, Qiran Jia, Mony Leon

NeurIPS 2023 K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang

JMLR 2022 D-GCCA: Decomposition-Based Generalized Canonical Correlation Analysis for Multi-View High-Dimensional Data Hai Shu, Zhe Qu, Hongtu Zhu

AAAI 2019 Sensitivity Analysis of Deep Neural Networks Hai Shu, Hongtu Zhu