Dongjie Wang
Assistant Professor, University of Kansas.

Dongjie Wang is an assistant professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. His research interests lie in data-centric AI, causal graph learning, spatial-temporal data mining, user profiling, and graph mining.
He has published over 70 papers in top-tier conferences and journals, including NeurIPS, KDD, AAAI, WWW, TKDE, and KAIS. His work has received multiple recognitions, including three Best Paper Runner-up Awards at SIGSPATIAL and ICDM, and a Spotlight Paper at NeurIPS 2023.
His recent research on automated urban planning has been featured by Synced AI and UCF Today, highlighting the broader societal impact of his work.
He actively serves the research community as a program committee member or reviewer for NeurIPS, ICML, KDD, AAAI, TPAMI, TKDD, and Nature Cities.
For Perspective Students
[TA/RA positions available] We are seeking highly motivated Ph.D. students to join our team. If you’re interested in data mining and its applications, please contact me at wangdongjie100@gmail.com. Include your CV, transcripts, TOEFL & GRE scores, and other relevant materials. Use the subject format “Prospective_Student_PhD_Your Name_…”.
The University of Kansas (KU), the state’s flagship university, is a member of the Association of American Universities (AAU) and recognized as a Research I (R1) institution by the Carnegie Classification. For more details on the Computer Science Ph.D. program application process, visit the website.
Announcement
We will host the third AI for Data Editing at KDD 2025 📊. If you are interested in this topic, we welcome you to submit your paper 📝. For more details, please visit this link.
News
2025/08/05 | Congratulations! Two papers have been accepted by CIKM 2025. ![]() |
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2025/05/18 | Congratulations! Two papers have been accepted by KDD 2025. ![]() |
2025/04/30 | Congratulations! One paper have been accepted by IJCAI 2025. ![]() |
2024/12/20 | Congratulations! One paper have been accepted by SDM 2025. ![]() |
2024/12/09 | Congratulations! Three papers have been accepted by AAAI 2025. ![]() |
Selected Publications [See More]
2025
- KDD’25Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided SearchIn Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
2023
- NeurIPS’23Reinforcement-enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressionsAdvances in Neural Information Processing Systems, 2023