About Me
I am an M.S. student in the Department of Statistics and Data Science at the Southern University of Science and Technology (SUSTech).
I am very fortunate to be advised by Professor Bingyi Jing. During my undergraduate studies, I had the privilege of receiving guidance from Professors Zhanfeng Wang and Ruixing Ming, and also benefited from the assistance of Professor Dongsheng Tu and others.
My current research lies at the intersection of statistical theory and artificial intelligence. Recently, I have also been exploring other areas related to embodied intelligence, fields that I find truly fascinating.
Research Interests
- Embodied Intelligence
- Trustworthy AI
- Multiple Hypothesis Testing
- High-dimensional Asymptotic Theory
News
Sep 2026: I have been selected for both the National Scholarship and the BYD Scholarship.
Sep 2026: Residual Calibration via Local Feature-Space Refinement was accepted at NeurIPS 2026.
May 2026: Anytime Safe PAC Efficient Reasoning was accepted at ICML 2026 and discussed at ES-Reasoning @ ICLR 2026.
October 2025: Random Weighting Approximation of M-estimators with Increasing Dimensions of Parameter was accepted by Statistica Sinica.
Selected Publications
(* equal contribution; † corresponding author; ‡ supervised student)
Empirical Likelihood for Fréchet Variance under Smeariness
Chengyao Yu, Bingyi Jing† , 2026.
Upcoming
Candidate Selection for Hierarchical Streaming Data
Zhenyuan Sun*‡, Chengyao Yu*, Bingyi Jing†, Ruixing Ming† , 2026.
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
Random Weighting Approximation of M-estimators with Increasing Dimensions of Parameter
Ruixing Ming*, Chengyao Yu*, Min Xiao, Zhanfeng Wang† , 2025. [PDF]
Statistica Sinica
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
Academic Services
- Journal Reviewer:
- Conference Reviewer:
Education
M.S. in Mathematics (2025 – Present)
Southern University of Science and TechnologyB.S. in Applied Statistics (2021 – 2025)
Zhejiang Gongshang University (Rank: 1/256)
