Yixin Chen
Yixin Chen is the Washington University computer scientist whose research spans AI, machine learning and optimization. He earned a doctorate at Illinois in 2005 and joined WashU that September. With Ruoyun Huang and Weixiong Zhang, he developed a planning encoding that uses the structure of SAS+ problems to produce more compact satisfiability instances. His later research includes graph learning, large language models and foundation models. He became an AAAI Fellow in 2025.
- Works
- 294
Publication numbers from OpenAlex, as of 14 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
-
1999–2005
Study computing and research
He earned a bachelor’s degree at the University of Science and Technology of China in 1999, an Illinois master’s degree in 2001 and an Illinois doctorate in 2005.
-
2005
Join Washington University
Chen joined WashU’s faculty in September 2005. His work includes algorithms for extracting knowledge from large amounts of data, linking AI research with data analysis and optimization.
-
2010
Encode planning with fewer constraints
Chen, Ruoyun Huang and Weixiong Zhang presented a transition-based planning encoding using the SAS+ formalism. Their original paper describes compact satisfiability instances and reports improved time and memory use in its experiments.
-
2025 and later
Recognition and broader learning methods
He became an AAAI Fellow in January 2025. His research interests include graph learning, large language models and foundation models.
Sources and credits
Photo: cse.wustl.edu; page title not stated; creator not stated. License: Not stated by source. Source: cse.wustl.edu. Cropped to a square and resized. Ask us to remove or replace this photo.