| Big data driven mobile traffic understanding and forecasting: A time series approach F Xu, Y Lin, J Huang, D Wu, H Shi, J Song, Y Li IEEE transactions on services computing 9 (5), 796-805, 2016 | 254 | 2016 |
| Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network H Shi, Q Yao, Q Guo, Y Li, L Zhang, J Ye, Y Li, Y Liu 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1818-1821, 2020 | 71 | 2020 |
| A decomposition approach for urban anomaly detection across spatiotemporal data M Zhang, T Li, H Shi, Y Li, P Hui Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 60 | 2019 |
| Semantics-aware hidden Markov model for human mobility H Shi, Y Li, H Cao, X Zhou, C Zhang, V Kostakos IEEE Transactions on Knowledge and Data Engineering, 2019 | 38 | 2019 |
| Semantics-aware hidden Markov model for human mobility H Shi, H Cao, X Zhou, Y Li, Z Chao, V Kostakos, F Sun, F Meng SIAM International Conference on Data Mining, 2019 | 38 | 2019 |
| DeepDPM: Dynamic Population Mapping via Deep Neural Network Z Zong, J Feng, K Liu, H Shi, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 33, 1294-1301, 2019 | 22 | 2019 |
| Discovering Periodic Patterns for Large Scale Mobile Traffic Data: Method and Applications H Shi, Y Li IEEE Transactions on Mobile Computing 17 (10), 2266-2278, 2018 | 22 | 2018 |
| State-Sharing Sparse Hidden Markov Models for Personalized Sequences H Shi, C Zhang, Q Yao, Y Li, F Sun, D Jin Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 16 | 2019 |
| Learning to Simulate Crowd Trajectories with Graph Networks H Shi, Q Yao, Y Li Proceedings of the ACM Web Conference 2023, 4200-4209, 2023 | 5 | 2023 |
| Learning Symbolic Models for Graph-structured Physical Mechanism H Shi, J Ding, Y Cao, L Liu, Y Li The Eleventh International Conference on Learning Representations, 2023 | 5 | 2023 |
| Differentiable Learning of Graph-like Logical Rules from Knowledge Graphs H Shi, Q Yao, Y Li | | 2020 |
