Yixin Chen, professor of computer science & engineering in the McKelvey School of Engineering at Washington University in St. Louis, has been named an IEEE Fellow in the Class of 2023.
The IEEE Fellow is one of the most prestigious honors of the IEEE, a technical professional organization dedicated to advancing technology, and is bestowed upon a very limited number of senior members who have contributed to advancing or applying engineering, science and technology that brings significant value to society. The number of IEEE Fellows elevated in a year is no more than one-tenth of 1 percent of the total IEEE voting membership. Chen was selected for his contributions to advancing the compactness and applicability of deep learning systems.
Chen's research interests are in machine learning and artificial intelligence (AI). He specializes in both fundamental research and real-world applications of deep learning, interpretable AI, learning of time-series and graphs, planning, optimization, and their applications in clinical decision support and health care. His research projects have included machine learning, including representation, interpretability, efficiency, compactness and clinical applications;
clinical and health care data mining, including real-time data analysis and decision support for ICU/OR/general wards/wearables; scalable optimization and learning algorithms nonlinear optimization; and automated planning.
Chen served as a program chair for IEEE International Conference on Big Data in 2021 and an associate editor for ACM Transactions on Computing for Healthcare, ACM Transactions of Intelligent Systems and Technology, Annals of Mathematics and Artificial Intelligence, Journal of Artificial Intelligence Research, and IEEE Transactions on Knowledge and Data Engineering.
He has received numerous awards, including the Best Paper Award at the IDEAL Conference in 2016, the Distinguished Paper Award at the AMIA Conference in 2015, and the Best Student Paper Runner-up Award at the ACM SIGKDD Conference in 2014. He also has received several best paper award nominations. His work on planning has won First Prizes in the International Planning Competitions in 2004 and 2006. He received an Early Career Principal Investigator Award from the Department of Energy in 2006 and a Microsoft Research New Faculty Fellowship in 2007. His research is funded by the National Science Foundation, the National Institutes of Health, Department of Energy, Microsoft, Fujitsu, and Memorial Sloan-Kettering Cancer Center.
He was admitted by the Special Class for Gifted Young at University of Science and Technology of China (USTC) in 1995, at age 15. He earned a bachelor’s in computer science from USTC in 1999 and a master’s and a doctorate from the University of Illinois at Urbana-Champaign (UIUC) in 2001 and 2005, respectively.