| Large-scale order dispatch in on-demand ride-hailing platforms: A learning and planning approach Z Xu, Z Li, Q Guan, D Zhang, Q Li, J Nan, C Liu, W Bian, J Ye Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 467 | 2018 |
| Se-gsl: A general and effective graph structure learning framework through structural entropy optimization D Zou, H Peng, X Huang, R Yang, J Li, J Wu, C Liu, PS Yu Proceedings of the ACM Web Conference 2023, 499-510, 2023 | 34 | 2023 |
| When recommender systems meet fleet management: Practical study in online driver repositioning system Z Xu, C Men, P Li, B Jin, G Li, Y Yang, C Liu, B Wang, X Qie Proceedings of The Web Conference 2020, 2220-2229, 2020 | 27 | 2020 |
| Gallat: A spatiotemporal graph attention network for passenger demand prediction Y Wang, H Yin, T Chen, C Liu, B Wang, T Wo, J Xu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2129-2134, 2021 | 26 | 2021 |
| Summarizing probabilistic frequent patterns: a fast approach C Liu, L Chen, C Zhang Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 21 | 2013 |
| RCP mining: Towards the summarization of spatial co-location patterns B Liu, L Chen, C Liu, C Zhang, W Qiu Advances in Spatial and Temporal Databases: 14th International Symposium …, 2015 | 19 | 2015 |
| Passenger mobility prediction via representation learning for dynamic directed and weighted graphs Y Wang, H Yin, T Chen, C Liu, B Wang, T Wo, J Xu ACM Transactions on Intelligent Systems and Technology (TIST) 13 (1), 1-25, 2021 | 18 | 2021 |
| Mining probabilistic representative frequent patterns from uncertain data C Liu, L Chen, C Zhang Proceedings of the 2013 SIAM International Conference on Data Mining, 73-81, 2013 | 17 | 2013 |
| Multispans: A multi-range spatial-temporal transformer network for traffic forecast via structural entropy optimization D Zou, S Wang, X Li, H Peng, Y Wang, C Liu, K Sheng, B Zhang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 14 | 2024 |
| Hierarchical state abstraction based on structural information principles X Zeng, H Peng, A Li, C Liu, L He, PS Yu arXiv preprint arXiv:2304.12000, 2023 | 13 | 2023 |
| Unsupervised skin lesion segmentation via structural entropy minimization on multi-scale superpixel graphs G Zeng, H Peng, A Li, Z Liu, C Liu, SY Philip, L He 2023 IEEE International Conference on Data Mining (ICDM), 768-777, 2023 | 11 | 2023 |
| Monitoring industrial control systems via spatio-temporal graph neural networks Y Wang, H Peng, G Wang, X Tang, X Wang, C Liu Engineering Applications of Artificial Intelligence 122, 106144, 2023 | 7 | 2023 |
| Secure your ride: Real-time matching success rate prediction for passenger-driver pairs Y Wang, H Yin, L Wu, T Chen, C Liu IEEE Transactions on Knowledge and Data Engineering, 2021 | 7 | 2021 |
| LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering L Sun, Z Huang, H Peng, Y Wang, C Liu, PS Yu arXiv preprint arXiv:2405.11801, 2024 | 4 | 2024 |
| Summarizing uncertain transaction databases by Probabilistic Tiles C Liu, L Chen 2016 International Joint Conference on Neural Networks (IJCNN), 4375-4382, 2016 | 4 | 2016 |
| Semi-Supervised Clustering via Structural Entropy with Different Constraints G Zeng, H Peng, A Li, Z Liu, R Yang, C Liu, L He Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 2 | 2024 |
| Incremental measurement of structural entropy for dynamic graphs R Yang, H Peng, C Liu, A Li Artificial Intelligence 334, 104175, 2024 | 1 | 2024 |
| Towards the learning of weighted multi-label associative classifiers C Liu, L Chen, I Tsang, H Yin 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 1 | 2018 |
| Mining co-locations from continuously distributed uncertain spatial data B Liu, L Chen, C Liu, C Zhang, W Qiu Asia-Pacific Web Conference, 66-78, 2016 | 1 | 2016 |
| Summarizing data with representative patterns C Liu | | 2016 |
