Dongjie Wang
Incoming Assistant Professor, University of Kansas.
Dongjie Wang will join the Department of Electrical Engineering and Computer Science at University of Kansas as an assistant professor in the Fall semester of 2024. His academic focus includes data-centric AI, with particular interests in data-centric AI, causal graph learning, root cause analysis, outlier detection, spatial-temporal data mining, user profiling, and graph mining. Throughout his Ph.D. journey, he has gained precious industry experiences through internships at prestigious institutions such as Nokia Bell Labs, NEC Labs America and JD.COM Silicon Valley Research Center. He has published 25+ leading journals (e.g. TKDE, KAIS) and conferences (e.g. NeurIPS, KDD, AAAI, WWW). Notably, three of his papers (SIGSPATIAL, ICDM1, ICDM2) were recognized as best paper runner-ups. His innovative work on automated urban planning has garnered attention, resulting in media coverage from Synced AI and UCF Today. In addition to the research contributions, he also actively contributes to the academic community by serving as a PC member for certain prestigious conferences and journals, including KDD, IJCAI, AAAI, WSDM, CIKM, TNNLS, KBS, TBD.
For Perspective Students
[TA/RA positions available] We are currently seeking highly motivated Ph.D. students to join our team. Should you have an interest in research pertaining to data mining and its extensive applications, we warmly invite you to contact me via email at wangdongjie100@gmail.com. In your email, you can include your CV, transcripts, TOEFL & GRE scores, and any other relevant materials. To ensure your application receives prompt attention, kindly use the subject format “Interested_Student_PhD_Your Name_…”.
The University of Kansas (KU), renowned as the state’s flagship university, proudly holds membership within the Association of American Universities (AAU). It is recognized as a Research I (R1) institution by the Carnegie Classification of Institutions of Higher Education, signifying our highest level of research activity. For further details regarding the application process for the Computer Science Ph.D. program, please visit the website.
News
2023/12/17 | Congratulations! My two papers was accepted by the SDM 2024 conference. |
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2023/12/13 | Congratulations! My paper was accepted by the TKDD journal. |
2023/09/21 | Congratulations! My paper was accepted by the NeurIPS 2023 conference. |
2023/09/03 | Congratulations! My two papers were accepted by the ICDM 2023 conference. |
2023/05/17 | Congratulations! My two papers were accepted by the SIGKDD 2023 conference. |
Selected Publications [See More]
2023
- NeurIPS’23Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix ExpressionsAdvances in Neural Information Processing Systems, 2023