Yixin Chen | |
|---|---|
| Born | 16 June 1979 |
| Occupation(s) | Computer scientist, academic, and author |
| Awards | Fellow, Institute of Electrical and Electronics Engineers Fellow, Asia-Pacific Artificial Intelligence Association |
| Academic background | |
| Education | B.Sc. computer science M.Sc. computer science Ph.D. computer science |
| Alma mater | University of Science and Technology of China University of Illinois at Urbana-Champaign |
| Academic work | |
| Institutions | Washington University in St. Louis |
Yixin Chen is a computer scientist, academic, and author. He is a professor of computer science and engineering at Washington University in St. Louis.[1]
Chen's research interests are focused on computer sciences, with a particular focus on the fields of machine learning, deep learning, and data mining.[2] He has contributed to several publications and has written several book chapters, including Clustering Parallel Data Streams and The Evaluation of Partitioned Temporal Planning Problems in Discrete Space and its Application in ASPEN.[3] He also co-authored the book Introduction to Explainable Artificial Intelligence.
Chen is an elected IEEE Fellow[4] for his contributions towards deep learning systems and an AAIA Fellow. He also served as a Program Co-chair for IEEE Conference on Big Data 2021.[5]
- ^ "Yixin Chen - Washington University in St.Louis".
- ^ "Yixin Chen - Google Scholar Profile".
- ^ "The Evaluation of Partitioned Temporal Planning Problems in Discrete Space and its Application in ASPEN - Researchgate".
- ^ "Chen elected IEEE Fellow - McKelvey School of Engineering". 6 December 2022.
- ^ "2021 IEEE Conference on Big Data - IEEE".
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