| Identifying different transportation modes from trajectory data using tree-based ensemble classifiers Z Xiao, Y Wang, K Fu, F Wu ISPRS International Journal of Geo-Information 6 (2), 57, 2017 | 215 | 2017 |
| A spatial-temporal-semantic neural network algorithm for location prediction on moving objects F Wu, K Fu, Y Wang, Z Xiao, X Fu Algorithms 10 (2), 37, 2017 | 80 | 2017 |
| DeepETA: a spatial-temporal sequential neural network model for estimating time of arrival in package delivery system F Wu, L Wu Proceedings of the AAAI conference on artificial intelligence 33 (01), 774-781, 2019 | 56 | 2019 |
| Package pick-up route prediction via modeling couriers’ spatial-temporal behaviors H Wen, Y Lin, F Wu, H Wan, S Guo, L Wu, C Song, Y Xu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2141-2146, 2021 | 39 | 2021 |
| Graph2route: A dynamic spatial-temporal graph neural network for pick-up and delivery route prediction H Wen, Y Lin, X Mao, F Wu, Y Zhao, H Wang, J Zheng, L Wu, H Hu, ... Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 38 | 2022 |
| Deeproute+: Modeling couriers’ spatial-temporal behaviors and decision preferences for package pick-up route prediction H Wen, Y Lin, H Wan, S Guo, F Wu, L Wu, C Song, Y Xu ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-23, 2022 | 19 | 2022 |
| Enough waiting for the couriers: Learning to estimate package pick-up arrival time from couriers’ spatial-temporal behaviors H Wen, Y Lin, F Wu, H Wan, Z Sun, T Cai, H Liu, S Guo, J Zheng, C Song, ... ACM Transactions on Intelligent Systems and Technology 14 (3), 1-22, 2023 | 13 | 2023 |
| Modeling intra-and inter-community information for route and time prediction in last-mile delivery Y Qiang, H Wen, L Wu, X Mao, F Wu, H Wan, H Hu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3106-3112, 2023 | 9 | 2023 |
| M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction T Cai, H Wan, F Wu, H Wen, S Guo, L Wu, H Hu, Y Lin 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3296-3308, 2023 | 8 | 2023 |
| GMDNet: A graph-based mixture density network for estimating packages’ multimodal travel time distribution X Mao, H Wan, H Wen, F Wu, J Zheng, Y Qiang, S Guo, L Wu, H Hu, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4561-4568, 2023 | 7 | 2023 |
| A graph-based min-# and error-optimal trajectory simplification algorithm and its extension towards online services F Wu, K Fu, Y Wang, Z Xiao ISPRS International Journal of Geo-Information 6 (1), 19, 2017 | 6 | 2017 |
| Modeling Spatial–Temporal Constraints and Spatial-Transfer Patterns for Couriers’ Package Pick-up Route Prediction H Wen, Y Lin, Y Hu, F Wu, M Xia, X Zhang, L Wu, H Hu, H Wan IEEE Transactions on Intelligent Transportation Systems, 2023 | 4 | 2023 |
| Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application M Yue, T Sun, F Wu, L Wu, Y Xu, C Shahabi Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 1 | 2021 |
Haomin WenCarnegie Mellon UniversityVerified email at andrew.cmu.edu