| 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 | 1068* | 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 | 891 | 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 | 768 | 2018 |
| 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 | 413 | 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 | 410 | 2020 |
| 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 | 400 | 2019 |
| A survey on traffic signal control methods H Wei, G Zheng, V Gayah, Z Li arXiv preprint arXiv:1904.08117, 2019 | 316 | 2019 |
| 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 | 259 | 2019 |
| Metalight: Value-based meta-reinforcement learning for traffic signal control X Zang, H Yao, G Zheng, N Xu, K Xu, Z Li Proceedings of the AAAI conference on artificial intelligence 34 (01), 1153-1160, 2020 | 204 | 2020 |
| Recent advances in reinforcement learning for traffic signal control: A survey of models and evaluation H Wei, G Zheng, V Gayah, Z Li ACM SIGKDD explorations newsletter 22 (2), 12-18, 2021 | 187 | 2021 |
| Diagnosing reinforcement learning for traffic signal control G Zheng, X Zang, N Xu, H Wei, Z Yu, V Gayah, K Xu, Z Li arXiv preprint arXiv:1905.04716, 2019 | 139 | 2019 |
| Learning traffic signal control from demonstrations Y Xiong, G Zheng, K Xu, Z Li Proceedings of the 28th ACM international conference on information and …, 2019 | 73 | 2019 |
| Big groundwater data sets reveal possible rare contamination amid otherwise improved water quality for some analytes in a region of Marcellus shale development T Wen, X Niu, M Gonzales, G Zheng, Z Li, SL Brantley Environmental science & technology 52 (12), 7149-7159, 2018 | 71 | 2018 |
| Generalight: Improving environment generalization of traffic signal control via meta reinforcement learning H Zhang, C Liu, W Zhang, G Zheng, Y Yu Proceedings of the 29th ACM international conference on information …, 2020 | 56 | 2020 |
| Contextual spatial outlier detection with metric learning G Zheng, SL Brantley, T Lauvaux, Z Li Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 47 | 2017 |
| Multiplex heterogeneous graph neural network with behavior pattern modeling C Fu, G Zheng, C Huang, Y Yu, J Dong Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 26 | 2023 |
| Learning to simulate vehicle trajectories from demonstrations G Zheng, H Liu, K Xu, Z Li 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1822-1825, 2020 | 26 | 2020 |
| Discovery of causal time intervals Z Li, G Zheng, A Agarwal, L Xue, T Lauvaux Proceedings of the 2017 SIAM International Conference on Data Mining, 804-812, 2017 | 22 | 2017 |
| Cross-city few-shot traffic forecasting via traffic pattern bank Z Liu, G Zheng, Y Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 21 | 2023 |
| Learning to simulate on sparse trajectory data H Wei, C Chen, C Liu, G Zheng, Z Li Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 20 | 2021 |
Zhenhui Jessie LiYunqi Academy of EngineeringВерификована је имејл адреса на illinois.edu