Bilong Shen

Bilong Shen

Ph.D. Student
Institute for Software Research
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA 15213, USA

Email: shenbilong AT gmail dot com

Bio

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.

Publications

	StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network. Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Weimin Zheng, Kathleen M. Carley The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2018), London, United Kingdom. 19 - 23 August 2018 Paper link PDF Video Cite by BibTeX
	V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints Bilong Shen, Ying Zhao, Guoliang Li , Weimin Zheng, Yue Qin, Bo Yuan, Yongming Rao IEEE International Conference on Data Engineering (ICDE 2017), April 19-22, 2017, San Diego, California, USA Paper link PDF Project Cite by BibTeX
	Urban Activity Mining Framework for Ride Sharing Systems based on Vehicular Social Networks Bilong Shen, Weimin Zheng, Kathleen M. Carley Networks and Spatial Economics, ISSN: 1566-113X (Print) 1572-9427 (Online)SCI 2.695 (Accepted, it will be published in 2019.)
	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 Bilong Shen, Bo Cao, Ying Zhao, Haojia Zuo, Weimin Zheng, Yan Huang (Accepted, it will be published soon.)
	OCEAN: Fast Discovery of High Utility Occupancy Itemsets Bilong Shen, Zhaoduo Wen, Ying Zhao, Dongliang Zhou, Weimin Zheng The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), April 19-22, 2016, Auckland, New Zealand Paper link PDF Cite by BibTeX
	Dynamic Ridesharing Bilong Shen, Yan Huang, Ying Zhao Journal of SIGSPATIAL Special, Volume 7 Issue 3, November 2015, ACM New York, NY, USA Paper link PDF Cite by BibTeX
	Survey on Dynamic Ridesharing in Big Data Era Bilong Shen, Yan Huang, Ying Zhao, Weimin Zheng Journal of Computer Research and Development Paper link PDF Cite by BibTeX
	Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation Xingyan Bin, Ying Zhao, Bilong Shen in Proceedings of SIGKDD'15 Workshop on ODDx3. August 10-13, Hilton, Sydney Paper link PDF Cite by BibTeX

Patents

An Intelligent Position-identifying Device and Intelligent Position-identifying System, 201610037665.9, 105699974A

Bilong Shen, Sixing Wu

Projects

I build or contribute to a large variety of projects across data mining, frequent pattern mining, and deep learning application on spatial data, some of them are open sourced.

Spatial data mining technology on furture ride sharing system (Sep. 2013 to present)

Contribution:
- a. Designed and implemented a smart framework for dynamic ride sharing system.
- b. Devised an efficient and scalable tree index for moving objects on the road network, called V-Tree.
- c. Proposed a novel method using V-Tree to compute kNN moving objects on road networks.
Result:

This method is 1,000 to 100,000 faster than the current kNN search methods on road networks for moving objects on US road networks. This work was published in Proceedings of IEEE International Conference on Data Engineering (ICDE 2017). I was invited to the Innovation and Entrepreneurship Forum of China in 2016 (This work is the only Tsinghua University's student work that was represented in the forum).
Generate subsidy policy for Ride Sharing System by mining spatial-temporal data (Dec. 2014 to Jun. 2015)

Contribution:
- a. Designed and led a team to implement a system for analyzing the hobby of drivers during the internship in 51yche Ride Sharing Company (The second largest ride sharing company in China).
- b. Proposed a Ranking Method for passengers ranking.
Result:

This work was applied in the ride sharing system of 51yche Ride Sharing Company. The analysis system can save more than 2 million dollors per year for the company.

Discover CoFlexi routes from Trajectories of Taxies (Dec. 2016 to Jun. 2017)

Contribution:
- a. Proposed and implemented the clustering algorithm for generating the best routes for CoFlexi from trajectories of taxies.
- b. Proposed a distance measure to solve the complex matching problem in ride sharing.
Result:

The algorithm reduced the number of vehicles for the same number of requests by 21%.
Network Traffic Analysis for the Mobile Operator (Sep. 2013 to Sep. 2014)

Contribution:
- a. Proposed a novel measure called "utility occupancy" for mobile operator data.
- b. Derived an upper bound for utility occupancy.
- c. Designed an efficient mining algorithm called OCEAN based on a fast implementation of utility list.
Result:

This algorithm was used by Mobile Operator and published in the Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)2016 (AR:39/307= 12.7).

Working Experience

Intern, 51yche Ride Sharing Company, 2015
Intern, Deloitte China, 2014