Jump to content

Philip S. Yu

From Wikipedia, the free encyclopedia

Philip S. Yu (born c. 1952) is an American computer scientist and professor of information technology at the University of Illinois at Chicago. He is a prolific author, holds over 300 patents, and is known for his work in the field of data mining.

Biography[edit]

Yu received his BS in electrical engineering from the National Taiwan University, and his MS and PhD also in electrical engineering from Stanford University in 1978, and received an MBA from New York University in 1982.

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.[2]

His research interests are in the fields of "data mining (especially on graph/network mining), social network, privacy preserving data publishing, data stream, database systems, and Internet applications and technologies."[3] Yu is an ISI Highly Cited researcher. According to Google Scholar, Yu's H-index is among the ten highest in computer science.[4]

Selected works[edit]

Yu has authored or co-authored several books and over 650 academic articles,[5] including:

References[edit]

  1. ^ "On Mining Big Data". Illinois Institute of Technology. Retrieved October 4, 2023.
  2. ^ "Philip S. Yu receives Test of Time Award". University of Illinois at Chicago. Retrieved October 4, 2023.
  3. ^ Curriculum Philip S. Yu at cs.uic.edu. Accessed September 2, 2013
  4. ^ See H-index for computer science. Google Scholar's H-index metric includes self-citations.
  5. ^ Philip S. Yu Google Scholar profile

External links[edit]