| 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 | 1372 | 2018 |
| Generalized fisher score for feature selection Q Gu, Z Li, J Han arXiv preprint arXiv:1202.3725, 2012 | 1090 | 2012 |
| 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 | 1050* | 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 | 887 | 2018 |
| 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 | 755 | 2018 |
| Swarm: Mining relaxed temporal moving object clusters Z Li, B Ding, J Han, R Kays Proceedings of the VLDB Endowment 3 (1-2), 723-734, 2010 | 482 | 2010 |
| 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 | 407 | 2019 |
| Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control C Chen, H Wei, N Xu, G Zheng, M Yang, Y Xiong, K Xu, Z Li Proceedings of the AAAI conference on artificial intelligence 34 (04), 3414-3421, 2020 | 390 | 2020 |
| 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 | 384 | 2010 |
| Presslight: Learning max pressure control to coordinate traffic signals in arterial network H Wei, C Chen, G Zheng, K Wu, V Gayah, K Xu, Z Li Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 383 | 2019 |
| Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario H Zhang, S Feng, C Liu, Y Ding, Y Zhu, Z Zhou, W Zhang, Y Yu, H Jin, Z Li The world wide web conference, 3620-3624, 2019 | 316 | 2019 |
| A survey on traffic signal control methods H Wei, G Zheng, V Gayah, Z Li arXiv preprint arXiv:1904.08117, 2019 | 307 | 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 | 264 | 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 | 264 | 2019 |
| Hierarchically structured meta-learning H Yao, Y Wei, J Huang, Z Li International conference on machine learning, 7045-7054, 2019 | 261 | 2019 |
| Joint feature selection and subspace learning Q Gu, Z Li, J Han Twenty-second international joint conference on artificial intelligence, 2011 | 256 | 2011 |
| Learning phase competition for traffic signal control G Zheng, Y Xiong, X Zang, J Feng, H Wei, H Zhang, Y Li, K Xu, Z Li Proceedings of the 28th ACM international conference on information and …, 2019 | 255 | 2019 |
| Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla Proceedings of the AAAI conference on artificial intelligence 34 (03), 3041-3048, 2020 | 239 | 2020 |
| 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 | 230 | 2016 |
| Incremental clustering for trajectories Z Li, JG Lee, X Li, J Han International conference on database systems for advanced applications, 32-46, 2010 | 230 | 2010 |
Guanjie ZhengShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证