Ruiqi Chen

Ruiqi Chen

Ph.D. Student in Computer Science and Engineering

University of Michigan


I am Ruiqi Chen, a Ph.D. student in Computer Science and Engineering at the University of Michigan. Previously, I was at the University of Washington, where I worked with Prof. Jon E. Froehlich in Makeability Lab and Prof. Jacob O. Wobbrock in ACE Lab. I also collaborate closely with Prof. Aditya Parameswaran at the University of California, Berkeley.

My research focuses on building and evaluating AI models and systems that align with human knowledge, goals, and values. More broadly, I am interested in how AI systems can better understand what people know, need, and care about, from and to and .

🔥 News

  • 2026.08:  🎉🎉 Our paper DAB, a benchmark for data agents, has been accepted to the EMNLP 2026 main conference!
  • 2026.02:  🎉🎉 Our paper CapNav has been accepted to CVPR 2026! Proud to be co-first author on my first CVPR paper.
  • 2025.09:  🎉🎉 My research paper developed at UC Berkeley under the supervision of Prof. Aditya Parameswaran has been accepted to CIDR 2026!
  • 2025.07:  🎉🎉 Two human-AI research papers FlyMeThrough and SlideAudit have been accepted to UIST 2025!

📝 Publications

( * means Equal Contribution)

Who Responds When the Driver Is Gone? A Framework for Human Intent Understanding

Xuewen Luo, Ding Fan, Ruiqi Chen, Ye Cao, Xiujin Liu, Bo Yu, Fengze Yang, Chenxi Liu

Preprint

Paper

Event-VLA: Action-Conditioned Event Fusion for Robust Vision-Language-Action Model

Jiaxin Liu*, Xun Xu*, Zhenhao Zhang*, Hanqing Wang, Ruiqi Chen, Shi Chang, Weiyu Guo, Laurent Kneip

Preprint

Paper