Philip S. Yu (born c. 1952) is an American computer scientist and professor of information technology at the University of Illinois at Chicago.
He started his career in private enterprise, at IBM's Thomas J. Watson Research Center, where he eventually became manager of the Software Tools and Techniques group.
Currently he is Distinguished Professor and Wexler Chair in Information Technology at the Department of Computer Science of the University of Illinois at Chicago Yu holds over 300 U.S. patents, is an ACM and IEEE Fellow, is editor-in-chief of ACM Transactions on Knowledge Discovery from Data, has chaired numerous conferences, and received several awards, including from IBM, the IEEE[1] and, in 2022, he and his coauthors, Yizhou Sun, Jiawei Han, Xifeng Yan, and Tianyi Wu, received the Very Large Data Bases Endowment Inc. (VLDB) 2022 Test of Time award, for their 2011 research paper, PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
According to Google Scholar, Yu's H-index is among the ten highest in computer science.
[4] Yu has authored or co-authored several books and over 650 academic articles,[5] including: