Wei Chen (陈薇)
Scholar

Wei Chen (陈薇)

Google Scholar ID: y0lN_XsAAAAJ
Institute of Computing Technology, Chinese Academy of Sciences
Machine LearningTrustworthy AICausality
Citations & Impact
All-time
Citations
24,886
 
H-index
35
 
i10-index
71
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Named by Forbes as one of the 50 Top Women in Tech in China in 2021; Named by MIT Tech Review and DeepTech as one of the Intelligent Computing Innovators China in 2023; Multiple papers accepted by top international conferences such as EMNLP 2025, ECAI 2024, NeurIPS 2024, etc.
Research Experience
  • Currently a professor at the Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences; Previously, she was the manager of the Computing and Learning Theory Group and the co-chair of the MSR Asia Theory Center at Microsoft Research Asia.
Education
  • Received B.S. degree in Statistics from Shandong University in 2006; Obtained Ph.D. degree in Probability and Mathematical Statistics from the Chinese Academy of Sciences in 2011, supervised by Prof. Zhi-Ming Ma.
Background
  • Research Interests: Basic methods and theory of machine learning, especially trustworthy machine learning; Professional Field: Machine learning, deep learning; Brief Introduction: Before joining the Institute of Computing Technology, Chinese Academy of Sciences, she was the manager of the Computing and Learning Theory Group at Microsoft Research Asia and the co-chair of the MSR Asia Theory Center.
Miscellany
  • Organized the ICLR 2024 workshop “Bridging the Gap between Practice and Theory in Deep Learning (BGPT)”; Serving as the sponsorship chair for CLeaR 2024; Organized the WINDSMATH (Women in Data Science and Mathematics) Seminar.