About
I am an Assistant Professor in the Department of Computer Science at the University of Texas at El Paso (UTEP), where I started in September 2025.
I earned my Ph.D. in Computer Science from Purdue University, where I was advised by Dr. Yexiang Xue. My PhD research focused on integrating automated reasoning with machine learning for structured prediction and scientific discovery. Before that, I received my master’s degree from Beihang University and interned at Microsoft Research Asia and Amazon Search.
- Diffusion language models
- Neuro-symbolic AI for scientific discovery
Prospective students: I’m looking for self-motivated students passionate about efficient diffusion LLMs and AI4Science. If you’re interested in working with me, please apply to the UTEP CS PhD program.
News
All news →- Our paper on approximating Pareto frontiers in stochastic multi-objective optimization was accepted to Constraints.
- Serving as IJCAI Gold Reviewer.
- Awarded 6,000 hours of CPU computing for teaching from TACC.
- Awarded 3,000 hours of H100/A100 GPU computing from TACC.
Recent publications
All publications →- Constraints
- EMNLP Findings
- TMLR
- AISTATS
- ICLR
- ICLR