Nan Jiang 姜楠

Assistant Professor, Department of Computer Science, University of Texas at El Paso

Nan Jiang

Department of Computer Science

University of Texas at El Paso

El Paso, TX

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.

Research interests: 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

Sep 30, 2026 Our paper on approximating Pareto frontiers in stochastic multi-objective optimization was accepted to Constraints.
May 16, 2026 Serving as IJCAI Gold Reviewer.
Jan 26, 2026 Awarded 6,000 hours of CPU computing for teaching from TACC.
Nov 25, 2025 Awarded 3,000 hours of H100/A100 GPU computing from TACC.

recent publications

  1. Constraints
  2. EMNLP Findings
    Zhuoran Lu, Yangyang Yu, Zhuoyan Li, Yibo Meng, Nan Jiang, Jie Gao, Chengxi Zang, Ziang Xiao
    Findings of EMNLP 2026
  3. TMLR
  4. AISTATS
    Ziyi Wang, Siva Rajesh Kasa, Ankith M S, Santhosh Kumar Kasa, Jiaru Zou, Sumit Negi, Ruqi Zhang, Nan Jiang, Qifan Song
    AISTATS 2026
  5. ICLR
  6. ICLR
    Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin
    ICLR 2026