Xuan Wang

Xuan Wang

Assistant Professor

Welcome to Xuan’s Homepage!

I am an Assistant Professor in the Department of Computer Science at Virginia Tech (VT), and a faculty member of the Sanghani Center for Artificial Intelligence and Data Analytics.

My research focuses on effective, efficient, and reliable foundation model systems, with an emphasis on post-training, inference, and agentic decision-making. I am particularly interested in multimodal systems in complex real-world environments, including science, healthcare, and robotics. My work has been recognized by the NSF CAREER Award (2025), NVIDIA Academic Grant (2025), Cisco Research Award (2025-2026), and the NAACL Best Demo Paper Award (2021).

I received my Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC) under the supervision of Dr. Jiawei Han. During my Ph.D. study, I also worked at IBM Research as a summer intern. I received my M.S. in Statistics and my M.S. in Biochemistry from UIUC. I received my B.S. in Biological Science from Tsinghua University, China.

Here is my full CV.

News and Highlights

  • (4/13/26) Congratulations to my student Gaurav for receiving the VT CS Outstanding MS Research Award!
  • (4/6/26) Two papers and one demo paper are accepted by ACL’26. Congratulations to my student Gaurav for their work on LLM overthinking!
  • (4/6/26) I am honored to receive the VT COE Outstanding New Assistant Professor Award!
  • (2/21/26) One paper is accepted by CVPR’26. Congratulations to my student Meng for their work on tool-augmented reasoning in VLM agents!
  • (1/30/26) We are excited to present our tutorial of “Large Language Models and Agentic AI for Biomedical Informatics” at ISMB’26. Looking forward to seeing everyone in DC!
  • (1/26/26) One paper is accepted by ICLR’26. Congratulations to my student Gaurav for their work on benchmark-free evaluation of language model reasoning!
  • (12/18/25) We are grateful to receive a new Cisco Research Award to support our research on VideoGym: Verifiable Video Understanding with Tool-Augmented Reasoning and Online Reinforcement Learning.
  • (12/16/25) We are grateful to receive a new grant from the Commonwealth Cyber Initiative (CCI) to support our research on A Secure Low-Code Platform for Scalable Multi-Agent AI Deployment.
  • (12/9/25) We are excited to present our tutorial of “Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications” at ACL’26. Looking forward to seeing everyone in San Diego!
  • (11/7/25) One paper is accepted by AAAI’26. Congratulations to my student Zhenyu for their work on small language models as a judge for reasoning evaluation!
  • …

My Schedule

You can find my schedule here. The “Week” view will present you the details of slots.