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 | 929* | 2019 |
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 | 652 | 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 | 341 | 2019 |
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai ... Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 318 | 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 | 302 | 2019 |
A survey on traffic signal control methods H Wei, G Zheng, V Gayah, Z Li arXiv preprint arXiv:1904.08117, 2019 | 263 | 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 | 212 | 2019 |
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 | 144 | 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 | 115 | 2019 |
Adversarial policy training against deep reinforcement learning X Wu, W Guo, H Wei, X Xing 30th USENIX Security Symposium (USENIX Security 21), 1883-1900, 2021 | 57 | 2021 |
ZEST: a Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service H Wei, Y Wang, T Wo, Y Liu, J Xu CIKM 2016, 2016 | 49 | 2016 |
Honor of kings arena: an environment for generalization in competitive reinforcement learning H Wei, J Chen, X Ji, H Qin, M Deng, S Li, L Wang, W Zhang, Y Yu, L Liu, ... In Proceedings of the 26th Conference on Neural Information Processing …, 2022 | 22 | 2022 |
Discovering event evolution chain in microblog Z Lu, W Yu, R Zhang, J Li, H Wei 2015 IEEE 17th International Conference on High Performance Computing and …, 2015 | 21 | 2015 |
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control W Du, J Ye, J Gu, J Li, H Wei, G Wang In Proceedings of the Thirty-Seventh AAAI Conference on Artificial …, 2022 | 19 | 2022 |
A unified framework with multi-source data for predicting passenger demands of ride services Y Wang, X Lin, H Wei, T Wo, Z Huang, Y Zhang, J Xu ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (6), 1-24, 2019 | 17 | 2019 |
Transformer-style relational reasoning with dynamic memory updating for temporal network modeling D Xu, J Liang, W Cheng, H Wei, H Chen, X Zhang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4546-4554, 2021 | 16 | 2021 |
Learning to Simulate on Sparse Trajectory Data H Wei, C Chen, C Liu, G Zheng, Z Li The European Conference on Machine Learning and Principles and Practice of …, 2020 | 16 | 2020 |
Prompt to transfer: Sim-to-real Transfer for Traffic Signal Control with Prompt Learning L Da, M Gao, H Mei, H Wei In Proceedings of the Thirty-Eighth AAAI Conference on Artificial …, 2024 | 15* | 2024 |
LibSignal: An Open Library for Traffic Signal Control H Mei, X Lei, L Da, B Shi, H Wei Machine Learning, 2023 | 15 | 2023 |
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation J Zhang, D Luo, H Wei In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge …, 2023 | 14 | 2023 |