Zhengyang Zhou
Scholar

Zhengyang Zhou

Google Scholar ID: dPElQLUAAAAJ
University of Science and Technology of China
spatiotemporal data miningmachine learningdeep learningurban computing
Citations & Impact
All-time
Citations
1,326
 
H-index
20
 
i10-index
34
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published 20+ first- or corresponding-author papers in premier venues such as TPAMI, ICML, NeurIPS, ICLR, KDD, AAAI, IJCAI, WWW, TMC, and TKDE. Has 1,400+ Google Scholar citations (H-index = 20). Supervised/co-supervised students to three NeurIPS Oral / ICML Spotlight awards. Recipient of the President's Award of the Chinese Academy of Sciences, the Anhui Provincial Outstanding Doctoral Dissertation Award, and a nominee for the ACM SIGSPATIAL China Excellent Doctoral Dissertation Award. Secured competitive funding as Principal Investigator, including the National Natural Science Foundation of China (NSFC) — Young Scientists Fund Program, the Jiangsu Natural Science Foundation Youth Program, etc.
Research Experience
  • Now, an Associate Researcher at the School of Software Engineering / Suzhou Institute for Advanced Research, USTC, where he directs the AI & Big Data Teaching and Research Section and serves as Secretary of the School's Faculty Party Branch. Also, a member of the executive committees of the CCF Technical Committee on Big Data, the CCF Smart Transportation Sub-committee, and the ACM SIGSPATIAL China Chapter.
Education
  • Received B.Sc. degree in School of IoT Engineering from Jiangnan University in June 2018; received PhD. degree in School of Computer Science and Technology, USTC, in June 2023, under the supervision of Professor Yang Wang.
Background
  • Currently, an Associate Researcher at the School of Software Engineering / Suzhou Institute for Advanced Research, USTC, where he directs the AI & Big Data Teaching and Research Section and serves as Secretary of the School's Faculty Party Branch. His research focuses on spatiotemporal intelligence, including scientific-theory-driven spatiotemporal AI and AI for scientific discovery.
Miscellany
  • Selected for the Jiangsu Entrepreneurship & Innovation Doctor Program (World-Class University Category).
Co-authors
0 total
Co-authors: 0 (list not available)