Yi Zhang

Yi Zhang

Associate Professor, Technology & Information Management

Baskin School of Engineering
1156 High St
Mail Stop SOE3
Santa Cruz, CA 95064

Phone Number: 831-459-4549 (Office)

Department: Technology & Information Management

Office Location: Engineering 2, Room 565
Office Hours: By appointment

E-Mail Address:

Web Page

Degrees

  • Ph.D, School of Computer Science, Carnegie Mellon University
  • M.S., School of Computer Science, Carnegie Mellon University
  • B.S., Computer Science and Technologies, Tsinghua University

Biography

Dr. Zhang is an associate Professor in School of Engineering, University of California Santa Cruz. Her research interests include large scale information retrieval, recommendation systems, internet advertising, data mining, natural language processing, and applied machine learning. She has published chapters, journal articles, and papers at top conferences in these areas, such ACM SIGIR, WWW, CIKM, IEEE ICDM, ICML, COLINGS, HLT. She received NSF Faculty Early Career Award in 2010, an Air Force Research Young Investigator Award in 2008, the Best Paper Award at ACM SIGIR in 2002, and several other awards. Her Information Retrieval and Knowledge Management Lab is doing research sponsored by several government agencies and companies (Microsoft, Yahoo, Google, NEC, Bosch, Nokia etc.). She has served as a consultant or technical advisor for companies. She regularly serves on the program committees of the very best conferences in her research areas. She has served as area chair or senior PC member at ACM SIGIR, EMNLP, and ACM Recommender Systems. She has served as conference co-chair in charge of Information Retrieval area at the ACM Conference on Information and Knowledge Management, and tutorial chair for ACM SIGIR. She is serving as an associate editor for ACM Transaction on Information Systems. Dr. Zhang received her Ph.D. from School of Computer Science at Carnegie Mellon University, specializing in Language and Information Technologies.

Research Areas

Dr. Yi Zhang research interests include large scale information retrieval, recommendation systems, internet advertising, data mining, natural language processing, and applied machine learning.

Current and Future Classes

Spring 2013

Fall 2013

Winter 2014

Spring 2014

Students & Researchers

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