PhD candidate
Department of Statistics and Data Science, Southern University of Science and Technology
PhD candidate · SUSTech
Sai Hao 郝赛
Department of Statistics and Data Science
Southern University of Science and Technology
12331107@mail.sustech.edu.cn
About
I am a PhD candidate advised by Prof. Bing-Yi Jing. My research focuses on statistical machine learning, large language models, and uncertainty quantification.
Before joining SUSTech, I studied mathematics and statistics at Lanzhou University.
Experience
Research assistant
Department of Statistics and Data Science, Southern University of Science and Technology
M.S. in Mathematics and Statistics
Lanzhou University
B.S. in Mathematics and Statistics
Lanzhou University
Research projects
RACER
2026Risk-aware calibrated efficient routing for large language models, balancing capability, confidence, and inference cost.
Construction Industry QA
2023A domain QA pipeline using Yi-1.5-Chat-34B, LoRA, and RAG across fragmented construction codes and design documents.
SUSTech × Beijing DeepexiFiber asymmetry detection
2022—2025SCAD-penalized sparse regression for tree-structured time-synchronization networks, with robust tuning and practical node placement.
SUSTech × HuaweiIntelligent data acquisition
2022—2023Stratified sampling for network streams that reduced compute and storage costs while keeping average metric error below 5%.
SUSTech × HuaweiPublications
- 01
On Large-Scale System of Sparse Linear Equations with Tree Structures and its Applications to Fiber Optic Networks
Zejian Xie, Songxin Zhang, Sai Hao, Zhanghao Chen, Ya Wang, Bing-Yi Jing
Journal of the American Statistical Association (JASA)2026 · accepted - 02
RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
Sai Hao, Hao Zeng, Hongxin Wei, Bing-Yi Jing
International Conference on Machine Learning (ICML)2026 - 03
A Multi-label Classification Approach for Functional Data Based on Conformal Prediction Bands
Sai Hao, Zhouping Li, Bing-Yi Jing
Canadian Journal of Statistics (CJS)2025