معرفی
Philip S. Yu is a Distinguished Professor in the Department of Computer Science at the University of Illinois at Chicago and holds the Wexler Chair in Information Technology. Previously, he led the Software Tools and Techniques department at IBM Thomas J. Watson Research Center.
Education:
- B.S. in Electrical Engineering, National Taiwan University
- M.S. and Ph.D. in Electrical Engineering, Stanford University
- M.B.A., New York University
His research spans data mining, big data, social networks, privacy-preserving data publishing, graph/network mining, recommender systems, and deep learning. He has authored over 970 papers with 74,500+ citations and an H-index of 127. Recent work focuses on heterogeneous graph representation, quantum walks in network analysis, and federated unlearning.
Scientific Honors:
- ACM SIGKDD 2016 Innovation Award
- IEEE Computer Society 2013 Technical Achievement Award
- IEEE ICDM 2003 Research Contributions Award
- IEEE Region 1 Award (1999)
- UIC Research of the Year (2013)
- IBM Master Inventor with 300+ patents
- AI 2000 Most Influential Scholar Honorable Mentions (2024-2025)
He served as Editor-in-Chief for ACM Transactions on Knowledge Discovery from Data and IEEE Transactions on Knowledge and Data Engineering, and on steering committees for ACM KDD and IEEE Data Mining. His work bridges theoretical advances in graph neural networks, deep learning, and privacy-preserving systems with applications in healthcare, social media, and enterprise analytics.
