| An efficient framework for correctness-aware kNN queries on road networks D He, S Wang, X Zhou, R Cheng 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1298-1309, 2019 | 19 | 2019 |
| Efficient trajectory contact query processing P Chao, D He, L Li, M Zhang, X Zhou Database Systems for Advanced Applications: 26th International Conference …, 2021 | 13 | 2021 |
| A system for spatial-temporal trajectory data integration and representation DA Peixoto, X Zhou, NQV Hung, D He, B Stantic Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 12 | 2018 |
| GLAD: A Grid and Labeling Framework with Scheduling for Conflict-Aware NN Queries D He, S Wang, X Zhou, R Cheng IEEE Transactions on Knowledge and Data Engineering 33 (4), 1554-1566, 2019 | 11 | 2019 |
| Efficient kNN query for moving objects on time-dependent road networks J Li, C Ni, D He, L Li, X Xia, X Zhou The VLDB Journal 32 (3), 575-594, 2023 | 10 | 2023 |
| Efficient and robust data augmentation for trajectory analytics: A similarity-based approach D He, S Wang, B Ruan, B Zheng, X Zhou World Wide Web 23, 361-387, 2020 | 8 | 2020 |
| Origin-destination trajectory diversity analysis: Efficient top-k diversified search D He, B Ruan, B Zheng, X Zhou 2018 19th IEEE International Conference on Mobile Data Management (MDM), 135-144, 2018 | 7 | 2018 |
| Heterogeneous region embedding with prompt learning S Zhou, D He, L Chen, S Shang, P Han Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4981-4989, 2023 | 6 | 2023 |
| Autonomous anomaly detection on traffic flow time series with reinforcement learning D He, J Kim, H Shi, B Ruan Transportation Research Part C: Emerging Technologies 150, 104089, 2023 | 6 | 2023 |
| Route reconstruction using low-quality bluetooth readings Y Xu, D He, P Chao, J Kim, W Hua, X Zhou Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 6 | 2020 |
| Efficient kNN Search with Occupation in Large-Scale On-demand Ride-Hailing M Li, D He, X Zhou Databases Theory and Applications: 31st Australasian Database Conference …, 2020 | 5 | 2020 |
| Trajectory set similarity measure: an emd-based approach D He, B Ruan, B Zheng, X Zhou Databases Theory and Applications: 29th Australasian Database Conference …, 2018 | 5 | 2018 |
| A performance study on large-scale data analytics using disk-based and in-memory database systems P Chao, D He, S Sadiq, K Zheng, X Zhou 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 5 | 2017 |
| An energy-efficient branch prediction with grouped global history M Huang, D He, X Liu, M Tan, X Cheng 2015 44th International Conference on Parallel Processing, 140-149, 2015 | 4 | 2015 |
| Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks J Li, X Xiong, L Li, D He, C Zong, X Zhou 2023 IEEE 39th International Conference on Data Engineering (ICDE), 368-380, 2023 | 2 | 2023 |
| MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks T Tran, D He, J Kim, M Hickman Transportation research part C: emerging technologies 156, 104354, 2023 | 1 | 2023 |
| Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model Z Zhu, D He, W Hua, J Kim, H Shi 2023 24th IEEE International Conference on Mobile Data Management (MDM), 245-254, 2023 | 1 | 2023 |
| An efficient algorithm for maximum trajectory coverage query with approximation guarantee D He, T Zhou, X Zhou, J Kim IEEE Transactions on Intelligent Transportation Systems 23 (12), 24031-24043, 2022 | 1 | 2022 |
| Threshold-free Anomaly Detection on Traffic Flow Data with Reinforcement Learning D He, B Ruan, J Kim, H Shi | 1 | 2022 |
| Trajectory-user linking with a deep neural network H Shi, D He, J Kim, TV Tran Australasian Transport Research Forum (ATRF), 44th, 2023, Perth, Western …, 2023 | | 2023 |
Xiaofang ZhouHong Kong University of Science and TechnologyVerified email at cse.ust.hk
