Ph.D. Student
Institute for Software Research
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA 15213, USA
Email: shenbilong AT gmail dot com
Email: shenbilong AT gmail dot com
I am currently a visiting scholar in Institute for Software Research, Carnegie Mellon University. My advisor is Prof. Kathleen M. Carley. I am a Ph.D student from Tsinghua University, China. My advisor is Prof. Weimin Zheng . My research interests mainly focus on Spatial time series Data Mining, Machine Learning, Deep Learning, and their applications in real world problem.
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StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network.
The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2018), London, United Kingdom. 19 - 23 August 2018
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V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints
IEEE International Conference on Data Engineering (ICDE 2017), April 19-22, 2017, San Diego, California, USA
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Urban Activity Mining Framework for Ride Sharing Systems based on Vehicular Social Networks
Networks and Spatial Economics, ISSN: 1566-113X (Print) 1572-9427 (Online)SCI 2.695 (Accepted, it will be published in 2019.)
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Roo: Route Planning Algorithm for Ride Sharing Systems on Large-Scale Road Networks,
BigComp 2019: 2019 IEEE International Conference on Big Data and Smart Computing, Kyoto, Japan, February 27-March 2, 2019
(Accepted, it will be published soon.)
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OCEAN: Fast Discovery of High Utility Occupancy Itemsets
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), April 19-22, 2016, Auckland, New Zealand
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Dynamic Ridesharing
Journal of SIGSPATIAL Special, Volume 7 Issue 3, November 2015, ACM New York, NY, USA
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Survey on Dynamic Ridesharing in Big Data Era
Journal of Computer Research and Development
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Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation
in Proceedings of SIGKDD'15 Workshop on ODDx3. August 10-13, Hilton, Sydney
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