Dongjie Wang

Dongjie Wang is an assistant professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. His research focuses on data-centric AI, causal graph learning, spatial-temporal data mining, user profiling, and graph mining. During his Ph.D., he interned at prestigious institutions like Nokia Bell Labs, NEC Labs America, and JD.COM Silicon Valley Research Center. He has published over 30 papers in leading journals (e.g., TKDE, KAIS) and conferences (e.g., NeurIPS, KDD, AAAI, WWW). Three of his papers (SIGSPATIAL, ICDM1, ICDM2) were best paper runner-ups, and his NeurIPS paper was a spotlight. His work on automated urban planning received media coverage from Synced AI and UCF Today. He also serves as a PC member for conferences and journals such as KDD, IJCAI, AAAI, WSDM, CIKM, TNNLS, KBS, and TKDD.