
Hongxin Wei
Assistant Professor, SDS, Southern University of Science and Technology
I am an Assistant Professor (Principal investigator, PhD supervisor) in the Department of Statistics and Data Science at SUSTech (China, Shenzhen). I obtained my Ph.D. degree at the School of Computer Science and Engineering, Nanyang Technological University, supervised by Prof. Bo An. During my Ph.D, I was fortunate to work as a visiting scholar in the group of Prof. Sharon Yixuan Li at the University of Wisconsin Madison in 2022. Previously I spent a wonderful year as a research assistant in the Institute for Interdisciplinary Information Sciences at Tsinghua University. Prior to that, I received my B.E. in Software Engineering from Huazhong University of Science and Technology in 2016.
My research studies reliable LLMs from both statistical and empirical perspectives, aiming for large language models and LLM-driven agents that are aware of what they do not know and accountable for what they produce. Statistically, we develop algorithms that make reliability provable rather than assumed, building on conformal prediction, distribution-free risk control, and the theory of data selection. Empirically, we turn these principles into working systems along the model lifecycle, from the data and post-training stage, through inference and agentic deployment, to auditing what a deployed model actually is.
LLM Auto-labeling
When can a model label be trusted?
LLM Post-training
What supervision is worth learning from?
Agent Inference
When should an agent doubt itself?
Search Agents
Which evidence deserves belief?
Model Provenance
Where did this model come from?
LLM Reliability Theory underpins every stage
Turning these questions into guarantees — conformal prediction and selection, distribution-free risk control, and the statistical theory of data selection
Join us — none of these questions is settled, and that is the fun part
Openings for Postdocs, PhD students and RA/interns are available all year round. Tell me which question keeps you curious.
News
Academic Service
- Area Chair: NeurIPS, ICML, ICLR
- Senior PC: IJCAI
- Conference Reviewer: CVPR, ICCV, KDD, ACL
- Journal Reviewer: JASA, JMLR, TPAMI, IJCV, ACM Computing Surveys