Yongfeng Zhang
Scholar

Yongfeng Zhang

Google Scholar ID: A66WefUAAAAJ
Professor of Computer Science, Rutgers University
Machine LearningInformation RetrievalRecommender SystemNLPMLSys
Citations & Impact
All-time
Citations
20,637
 
H-index
70
 
i10-index
201
 
Publications
20
 
Co-authors
68
list available
Resume (English only)
Academic Achievements
  • 2025 AgentX Prize for Agent Architecture
  • 2024 ACM SIGIR Test of Time Award, Presidential Award for Teaching Excellence (Rutgers)
  • 2023 eBay Faculty Research Award, Toyota Faculty Research Award, NEC Faculty Research Award
  • 2021 NSF CAREER Award, Facebook Faculty Research Award, eBay Faculty Research Award
  • 2020 Distinguished Editor for ACM Transactions on Information Systems (TOIS)
  • 2018 Rutgers CS Best Professor Award for Teaching and Mentoring
  • 2017 AIRS Best Paper Award, THU and CAAI Best PhD Dissertation Award
  • 2015 Microsoft PhD Fellowship, Siebel Scholar
  • 2014 Baidu Scholarship, IBM PhD Fellowship
  • 2012 Google Scholarship
  • Delivered numerous tutorials and keynote talks at top conferences (e.g., RecSys, WWW, KDD, SIGIR, ICML) on topics including LLMs for recommendation, explainable AI, fairness in recommender systems, etc.
Research Experience
  • Associate Professor (Tenured), Department of Computer Science, Rutgers University (2024–present)
  • Assistant Professor, Department of Computer Science, Rutgers University (2018–2024)
  • Postdoc, College of Information and Computer Sciences, University of Massachusetts Amherst (2016–2017; Supervisor: Prof. W. Bruce Croft)
  • Assistant Specialist, School of Engineering, University of California Santa Cruz (2015–2016; Supervisors: Prof. Yi Zhang and Daniel Friedman)
  • Research Assistant, School of Computing, National University of Singapore (2014–2015; Supervisors: Prof. Tat-Seng Chua and Min-Yen Kan)