| Generalized fisher score for feature selection Q Gu, Z Li, J Han arXiv preprint arXiv:1202.3725, 2012 | 736 | 2012 |
| Deep multi-view spatial-temporal network for taxi demand prediction H Yao, F Wu, J Ke, X Tang, Y Jia, S Lu, P Gong, J Ye, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 693 | 2018 |
| Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction H Yao, X Tang, H Wei, G Zheng, Z Li Proceedings of the AAAI conference on artificial intelligence 33 (01), 5668-5675, 2019 | 450* | 2019 |
| DRN: A deep reinforcement learning framework for news recommendation G Zheng, F Zhang, Z Zheng, Y Xiang, NJ Yuan, X Xie, Z Li Proceedings of the 2018 World Wide Web Conference, 167-176, 2018 | 428 | 2018 |
| Swarm: Mining relaxed temporal moving object clusters Z Li, B Ding, J Han, R Kays ILLINOIS UNIV AT URBANA-CHAMPAIGN DEPT OF COMPUTER SCIENCE, 2010 | 421 | 2010 |
| Mining periodic behaviors for moving objects Z Li, B Ding, J Han, R Kays, P Nye Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 331 | 2010 |
| Intellilight: A reinforcement learning approach for intelligent traffic light control H Wei, G Zheng, H Yao, Z Li Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 319 | 2018 |
| Joint feature selection and subspace learning Q Gu, Z Li, J Han Twenty-second international joint conference on artificial intelligence, 2011 | 218 | 2011 |
| Incremental clustering for trajectories Z Li, JG Lee, X Li, J Han International conference on database systems for advanced applications, 32-46, 2010 | 195 | 2010 |
| Temporal outlier detection in vehicle traffic data X Li, Z Li, J Han, JG Lee 2009 IEEE 25th International Conference on Data Engineering, 1319-1322, 2009 | 184 | 2009 |
| Differentially private data cubes: optimizing noise sources and consistency B Ding, M Winslett, J Han, Z Li Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 172 | 2011 |
| Crime Rate Inference with Big Data H Wang, Z Li, D Kifer, C Graif KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016 | 151 | 2016 |
| Movemine: Mining moving object data for discovery of animal movement patterns Z Li, J Han, M Ji, LA Tang, Y Yu, B Ding, JG Lee, R Kays ACM Transactions on Intelligent Systems and Technology (TIST) 2 (4), 1-32, 2011 | 150 | 2011 |
| Geo-friends recommendation in gps-based cyber-physical social network X Yu, A Pan, LA Tang, Z Li, J Han 2011 International Conference on Advances in Social Networks Analysis and …, 2011 | 144 | 2011 |
| Movemine: Mining moving object databases Z Li, M Ji, JG Lee, LA Tang, Y Yu, J Han, R Kays Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 135 | 2010 |
| Hierarchically structured meta-learning H Yao, Y Wei, J Huang, Z Li International Conference on Machine Learning, 7045-7054, 2019 | 129 | 2019 |
| A simple baseline for travel time estimation using large-scale trip data H Wang, X Tang, YH Kuo, D Kifer, Z Li ACM Transactions on Intelligent Systems and Technology (TIST) 10 (2), 1-22, 2019 | 125 | 2019 |
| Colight: Learning network-level cooperation for traffic signal control H Wei, N Xu, H Zhang, G Zheng, X Zang, C Chen, W Zhang, Y Zhu, K Xu, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 114 | 2019 |
| A survey on traffic signal control methods H Wei, G Zheng, V Gayah, Z Li arXiv preprint arXiv:1904.08117, 2019 | 110 | 2019 |
| Learning from multiple cities: A meta-learning approach for spatial-temporal prediction H Yao, Y Liu, Y Wei, X Tang, Z Li The World Wide Web Conference, 2181-2191, 2019 | 108 | 2019 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinoiscs.uiuc.edu의 이메일 확인됨
