J
Scholar

Jiangchao Yao

Google Scholar ID: w8oDh9QAAAAJ
Shanghai Jiao Tong University
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Resume (English only)
Academic Achievements
  • - Over 90 publications in top-tier conferences and journals (e.g., ICML, NeurIPS, ICLR, and TPAMI)
  • - Authored one monograph about trustworthy machine learning
  • - Area chairs of ICML, NeurIPS, and ICLR, and action editors of Transactions on Machine Learning Research and the journal Neural Networks
  • - Selected as a MSRA Startrack Scholar in 2025
Research Experience
  • - Research Scientist, Shanghai AI Laboratory (June 2022 - Present)
  • - Tenure-Track Assistant Professor, Cooperative Medianet Innovation Center, Shanghai Jiao Tong University (April 2022 - Present)
  • - Visiting Scholar, Microsoft Research Asia, Shanghai (May 2025 - August 2025)
  • - Algorithm Expert, Data Analytics and Intelligence Lab, DAMO Academy, Alibaba Group (August 2021 - March 2022)
  • - Senior Engineer, Data Analytics and Intelligence Lab, DAMO Academy, Alibaba Group (August 2019 - August 2021)
Education
  • - Doctor of Philosophy: Department of Electronic Engineering, Shanghai Jiao Tong University, supervised by Ya Zhang (September 2019)
  • - Doctor of Philosophy: Faculty of Engineering and Information Technology, University of Technology Sydney, supervised by Ivor W. Tsang (September 2019)
  • - Bachelor of Engineering: Elite Class, Department of Information Engineering, South China University of Technology (June 2013)
Background
  • - Research Interests: Efficient Foundation Models, Interdiscipline of Medicine and AI, Generalized Imbalanced Learning, Noise Robust Machine Learning
  • - Professional Field: Trustworthy machine learning and reasoning with applications towards AI4Science
  • - Brief Introduction: Currently an assistant professor at Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, and a research scientist in Shanghai AI Laboratory. Previously, he was an algorithm expert at DAMO Academy, Alibaba Group, and received dual PhD degrees from Shanghai Jiao Tong University and the University of Technology Sydney in 2019.
Miscellany
  • Looking for Master and PhD candidates in 2027 recruitment, and always open for RAs.
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