Jie Shen
Scholar

Jie Shen

Google Scholar ID: Em5N8u0AAAAJ
Assistant Professor, Stevens Institute of Technology
Machine Learning Theory
Citations & Impact
All-time
Citations
452
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Received NSF CAREER Award (Feb. 2023)
  • Principal investigator on NSF grants: AF-2239376 (CAREER), RI-1948133 (CRII)
  • Area Chair for ICML, NeurIPS, ICLR (2024–present), AISTATS (2025–present), ACML (2022–present)
  • Action Editor/Associate Editor for TMLR and Visual Intelligence (2024–present)
  • Reviewer for FOCS, COLT, ICML, NeurIPS, AISTATS, ICLR, JMLR, ML, TIT, TSP, SP
  • NSF Panel member (2023–present)
Education
  • B.S. in Mathematics & Applied Mathematics from Shanghai Jiao Tong University (2011)
  • M.S. in Computer Science from Shanghai Jiao Tong University (2014)
  • Ph.D. in Computer Science from Rutgers University–New Brunswick (2018)
  • Visiting scholar at National University of Singapore (2013–2014)
  • Visiting scholar at Duke University (Summer 2018)
Background
  • Research interests lie in both theoretical aspects and applications of machine learning
  • Particularly interested in learning in the presence of noise (e.g., label noise, malicious data)
  • Unsupervised learning (e.g., contrastive learning, pre-training)
  • Data-efficient learning (e.g., high-dimensional statistics, meta/transfer learning)
  • Label-efficient learning (e.g., active learning, learning with enriched queries)