Selective Conformal Inference for Hierarchical Streaming Data
Zhenyuan Sun, Chengyao Yu*, Ruixing Ming, and Bingyi Jing , 2026.
In Progress (Upcoming)
Papers
Research Interests
- Reliable artificial intelligence
- Selective confromal Inference
- Multiple hypothesis testing
- Distribution approximation
Papers by year
(* equal contribution or alphabetical order)
2026
Robust Conformal Selection with Contaminated Responses
Chengyao Yu, Bingyi Jing , 2026.
In Progress (Upcoming)
Residual Calibration via Local Feature-Space Refinement
Xihao Wang*, Chengyao Yu*, Ruixing Ming , 2026.
Under Review
Anytime Safe PAC Efficient Reasoning
Chengyao Yu*, Hao Zeng*, Youxin Zhu, Jianguo Huang, Huajun Zeng, Bingyi Jing , 2026. [PDF]
International Conference on Machine Learning (ICML), 2026
2025
FAIR-Pruner: Leveraging Tolerance of Difference for Flexible Automatic Layer-Wise Neural Network Pruning
Chenqing Lin, Mostafa Hussien, Chengyao Yu, Bingyi Jing, Osama Abdelrahman, Ruixing Ming , 2025. [PDF]
Under Review
Random Weighting Approximation of M-estimators with Increasing Dimensions of Parameter
Ruixing Ming*, Chengyao Yu*, Min Xiao, Zhanfeng Wang , 2025. [PDF]
Statistica Sinica (Accepted)
2024
A generalized e-value feature detection method with FDR control at multiple resolutions
Chengyao Yu, Ruixing Ming, Min Xiao, Zhanfeng Wang, Bingyi Jing , 2024. [PDF]
Under Review