Jun Luo
Jun Luo
Lenovo Machine Intelligence Center
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Detecting commuting patterns by clustering subtrajectories
K Buchin, M Buchin, J Gudmundsson, M Löffler, J Luo
International Journal of Computational Geometry & Applications 21 (03), 253-282, 2011
Growing the charging station network for electric vehicles with trajectory data analytics
Y Li, J Luo, CY Chow, KL Chan, Y Ding, F Zhang
2015 IEEE 31st international conference on data engineering, 1376-1387, 2015
Empirical observations of congestion propagation and dynamic partitioning with probe data for large-scale systems
Y Ji, J Luo, N Geroliminis
Transportation Research Record 2422 (1), 1-11, 2014
Personalized travel route recommendation using collaborative filtering based on GPS trajectories
G Cui, J Luo, X Wang
International journal of digital earth 11 (3), 284-307, 2018
Finding long and similar parts of trajectories
K Buchin, M Buchin, M Van Kreveld, J Luo
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances …, 2009
Finding pareto optimal groups: Group-based skyline
J Liu, L Xiong, J Pei, J Luo, H Zhang
Proceedings of the VLDB Endowment 8 (13), 2086-2097, 2015
The definition and computation of trajectory and subtrajectory similarity
M Van Kreveld, J Luo
Proceedings of the 15th annual ACM international symposium on Advances in …, 2007
Rating: privacy preservation for multiple attributes with different sensitivity requirements
J Liu, J Luo, JZ Huang
2011 IEEE 11th International conference on data mining workshops, 666-673, 2011
The optimal distribution of electric-vehicle chargers across a city
C Liu, K Deng, C Li, J Li, Y Li, J Luo
2016 IEEE 16th International Conference on Data Mining (ICDM), 261-270, 2016
Predicting traffic congestion propagation patterns: A propagation graph approach
H Xiong, A Vahedian, X Zhou, Y Li, J Luo
Proceedings of the 11th ACM SIGSPATIAL International Workshop on …, 2018
Mining spatio-temporal reachable regions over massive trajectory data
G Wu, Y Ding, Y Li, J Bao, Y Zheng, J Luo
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1283-1294, 2017
Privacy preserving distributed DBSCAN clustering
J Liu, JZ Huang, J Luo, L Xiong
Proceedings of the 2012 Joint EDBT/ICDT Workshops, 177-185, 2012
An effective value swapping method for privacy preserving data publishing
ASMT Hasan, Q Jiang, J Luo, C Li, L Chen
Security and Communication Networks 9 (16), 3219-3228, 2016
Forecasting gathering events through continuous destination prediction on big trajectory data
A Vahedian, X Zhou, L Tong, Y Li, J Luo
Proceedings of the 25th ACM SIGSPATIAL international conference on advances …, 2017
Curb-gan: Conditional urban traffic estimation through spatio-temporal generative adversarial networks
Y Zhang, Y Li, X Zhou, X Kong, J Luo
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Unveiling taxi drivers' strategies via cgail: Conditional generative adversarial imitation learning
X Zhang, Y Li, X Zhou, J Luo
2019 IEEE international conference on data mining (ICDM), 1480-1485, 2019
Dissecting the learning curve of taxi drivers: A data-driven approach
M Pan, Y Li, X Zhou, Z Liu, R Song, H Lu, J Luo
Proceedings of the 2019 SIAM International Conference on Data Mining, 783-791, 2019
St-siamesenet: Spatio-temporal siamese networks for human mobility signature identification
H Ren, M Pan, Y Li, X Zhou, J Luo
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
xgail: Explainable generative adversarial imitation learning for explainable human decision analysis
M Pan, W Huang, Y Li, X Zhou, J Luo
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
DHPA: Dynamic human preference analytics framework: A case study on taxi drivers’ learning curve analysis
M Pan, W Huang, Y Li, X Zhou, Z Liu, R Song, H Lu, Z Tian, J Luo
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (1), 1-19, 2020
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