| 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 | 233 | 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 | 155 | 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 | 140 | 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 | 133 | 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 | 112 | 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 | 89 | 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 | 63 | 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 | 62 | 2011 |
| 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 | 56 | 2018 |
| 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 | 55 | 2016 |
| Privacy preserving distributed DBSCAN clustering J Liu, JZ Huang, J Luo, L Xiong Proceedings of the 2012 Joint EDBT/ICDT Workshops, 177-185, 2012 | 52 | 2012 |
| 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 | 51 | 2020 |
| 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 | 51 | 2017 |
| 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 | 50 | 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 | 42 | 2017 |
| 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 | 37 | 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 | 37 | 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 | 37 | 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 | 35 | 2020 |
| 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 | 35 | 2019 |
