Research Interests
Integrated human and machine learning with spatial, temporal, and networked behaviors for big data applications.
- Deep representation spatial temporal and networked data
- Reinforcement learning and automated data science
- Spatial temporal knowledge graphs
- Prescriptive and real-time outlier detection
- Applications: power grids, transportations, recommender systems, urban computing, IoT analysis, intelligent education
Other Experiences
- Assistant Professor of Missouri S&T, 2016-2019
- Summer Intern, IBM TJ Watson Research, 2015
- Summer Intern, Huawei Research, 2013-2014
- Summer Intern, Microsoft Research Asia, 2012
Professional Activities
- Member of ACM, IEEE, SIAM
- TPC members of ACM SIGKDD, IEEE ICDM, ACM SIGSpatial, AAAI, IJCAI, IEEE BigData, ACM CIKM, SIAM SDM, PAKDD, DASFAA
- Reviewers of IEEE TKDE, ACM TKDD, ACM TOIS, INFORMS JOC, IEEE TBD, ACM TIST, IEEE TMC, KAIS, Neurocomputing
Honors & Awards
- 2018 ACM SIGKDD Best Student Paper, Runner-Up
- 2018 NSF CRII (mini-CAREER) Award
- 2017 University of Missouri Research Board Award
- 2016 Microsoft Research Azure Research Award
- 2014 IEEE ICDM Best Paper, Runner-up
- 2010 IEEE WCCI Active Learning Challenge Championship (First Place)
