Dawei Zhou

Dawei Zhou is an assistant professor in the Virginia Tech Department of Computer Science; director of the VirginiaTech Learning on Graphs (VLOG) Lab; and core faculty at the Sanghani Center.

Zhou’s prior research is on rare category detection, graph mining, curriculum learning, and algorithmic fairness, with applications in financial fraud detection, cyber security, financial forecasting, social media analysis, and healthcare. He earned his Ph.D. degree from the Computer Science Department at the University of Illinois Urbana-Champaign.

Zhou has authored more than 30 publications in premier academic venues across AI, data mining, and information retrieval (e.g., AAAI, IJCAI, KDD, ICDM, SDM, TKDD, DMKD, WWW, CIKM) and has served as senior program committee and session chairs in various top ML and AI conferences (e.g., NeurIPS, ICML, KDD, WWW, SIGIR, ICLR, AAAI, IJCAI).

He has been the key contributor and team leader in several DARPA projects. His work on rare category detection with human-AI intelligence was selected by the Computing Research Association (CRA) to showcase at the 24th CNSF Capitol Hill Science Exhibition.




Assistant Professor
Research Areas:
  • Artificial Intelligence
  • iconForecasting
  • iconNatural Language Processing
  • iconNetwork Science
  • iconProbabilistic Graphical Models
  • iconVisual Analytics
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