Empirical Likelihood for Fréchet Variance under Smeariness
Chengyao Yu, Bingyi Jing† , 2026.
Upcoming
Papers
(* equal contribution; † corresponding author; ‡ supervised student)
2026
Candidate Selection for Hierarchical Streaming Data
Zhenyuan Sun*‡, Chengyao Yu*, Bingyi Jing†, Ruixing Ming† , 2026.
Under Review
On the Pitfalls of Verbalized Confidence Priors for Calibrating Large Reasoning Models
Shuoyuan Wang, Beier Luo, Hao Zeng, Chengyao Yu, Songxin Zhang, Zejian Xie, Bingyi Jing, Hongxin Wei , 2026. [PDF]
Under Review
Scheduling Recursive Reasoning in Looped Transformers
Boyuan Wang*, Chengyao Yu*, Jiaxin Ren*, Hongxin Wei, Bingyi Jing, Yuxin Tao† , 2026. [PDF]
Under Review
Robust Conformalized Selection with Noisy Responses
Chengyao Yu, Hongxin Wei, Bingyi Jing† , 2026. [PDF]
Under Review
Residual Calibration via Local Feature-space Refinement
Xihao Wang*‡, Chengyao Yu*, Ruixing Ming† , 2026. [PDF]
Neural Information Processing Systems (NeurIPS), 2026
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
Random Weighting Approximation of M-estimators with Increasing Dimensions of Parameter
Ruixing Ming*, Chengyao Yu*, Min Xiao, Zhanfeng Wang† , 2025. [PDF]
Statistica Sinica
FAIR-Pruner: Leveraging Tolerance of Difference for Flexible Automatic Layer-Wise Neural Network Pruning
Chenqing Lin, Mostafa Hussien, Chengyao Yu, Bingyi Jing, Ruixing Ming, Kim Khoa Nguyen, Mohamed Cheriet , 2025. [PDF]
Under Review
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