Dawei Zhou: Assistant Professor
Ph.D., Computer Science
University of Illinois at Urbana-Champaign, 2021
M.S., Electrical & Computer Engineering
University of Rochester, 2014
B.S., Electrical Engineering
Nanjing University of Posts and Telecommunications, 2012
Dr. Dawei Zhou is an Assistant Professor at the Computer Science Department of Virginia Tech and the director of the VirginiaTech Learning on Graphs (VLOG) Lab. Zhou’s prior research 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 obtained his Ph.D. degree from the Computer Science Department of the University of Illinois Urbana-Champaign (UIUC). He 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, etc.). He has been the key contributor and team leader in several DARPA projects. His work on rare category detection with human-AI intelligence has been selected by Computing Research Association (CRA) to showcase at the 24th CNSF Capitol Hill Science Exhibition.