| DiffSTG: Probabilistic spatio-temporal graph forecasting with denoising diffusion models H Wen, Y Lin, Y Xia, H Wan, Q Wen, R Zimmermann, Y Liang Proceedings of the 31st ACM SigSpatial, 2023 | 34 | 2023 |
| 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 | 27 | 2021 |
| Deciphering spatio-temporal graph forecasting: A causal lens and treatment Y Xia, Y Liang, H Wen, X Liu, K Wang, Z Zhou, R Zimmermann Advances in Neural Information Processing Systems 36, 2024 | 23 | 2024 |
| 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 | 23 | 2022 |
| Spatial-temporal position-aware graph convolution networks for traffic flow forecasting Y Zhao, Y Lin, H Wen, T Wei, X Jin, H Wan IEEE Transactions on Intelligent Transportation Systems 24 (8), 8650-8666, 2022 | 13 | 2022 |
| Foundation models for time series analysis: A tutorial and survey Y Liang, H Wen, Y Nie, Y Jiang, M Jin, D Song, S Pan, Q Wen arXiv preprint arXiv:2403.14735, 2024 | 11 | 2024 |
| 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 | 11 | 2022 |
| Traffic Inflow and Outflow Forecasting by Modeling Intra-and Inter-Relationship Between Flows Y Zhao, Y Lin, Y Zhang, H Wen, Y Liu, H Wu, Z Wu, S Zhang, H Wan IEEE Transactions on Intelligent Transportation Systems, 2022 | 10 | 2022 |
| When urban region profiling meets large language models Y Yan, H Wen, S Zhong, W Chen, H Chen, Q Wen, R Zimmermann, ... WWW, 2023 | 9 | 2023 |
| A survey on diffusion models for time series and spatio-temporal data Y Yang, M Jin, H Wen, C Zhang, Y Liang, L Ma, Y Wang, C Liu, B Yang, ... arXiv preprint arXiv:2404.18886, 2024 | 6 | 2024 |
| 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 | 6 | 2023 |
| Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook X Zou, Y Yan, X Hao, Y Hu, H Wen, E Liu, J Zhang, Y Li, T Li, Y Zheng, ... arXiv preprint arXiv:2402.19348, 2024 | 5 | 2024 |
| Deep learning for trajectory data management and mining: A survey and beyond W Chen, Y Liang, Y Zhu, Y Chang, K Luo, H Wen, L Li, Y Yu, Q Wen, ... arXiv preprint arXiv:2403.14151, 2024 | 4 | 2024 |
| Lade: The first comprehensive last-mile delivery dataset from industry L Wu, H Wen, H Hu, X Mao, Y Xia, E Shan, J Zhen, J Lou, Y Liang, L Yang, ... arXiv preprint arXiv:2306.10675, 2023 | 3 | 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 | 3 | 2023 |
| Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web Y Yan, H Wen, S Zhong, W Chen, H Chen, Q Wen, R Zimmermann, ... Proceedings of the ACM on Web Conference 2024, 4006-4017, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| Drl4route: A deep reinforcement learning framework for pick-up and delivery route prediction X Mao, H Wen, H Zhang, H Wan, L Wu, J Zheng, H Hu, Y Lin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 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 | 2 | 2023 |
| G2ptl: A pre-trained model for delivery address and its applications in logistics system L Wu, J Liu, J Lou, H Hu, J Zheng, H Wen, C Song, S He arXiv preprint arXiv:2304.01559, 2023 | 2 | 2023 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong University在 bjtu.edu.cn 的电子邮件经过验证
