受强制性开放获取政策约束的文章 - Hua Wei了解详情
无法在其他位置公开访问的文章：2 篇
Toward Efficient Traffic Signal Control: Smaller Network Can Do More
S Li, H Mei, J Li, H Wei, D Xu
2023 62nd IEEE Conference on Decision and Control (CDC), 8069-8074, 2023
强制性开放获取政策： US National Science Foundation
Rethinking Sentiment Analysis under Uncertainty
Y Wu, B Shi, J Chen, Y Liu, B Dong, Q Zheng, H Wei
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：37 篇
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, US Department of Defense
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, US Department of Transportation
LibSignal: An Open Library for Traffic Signal Control
H Mei, X Lei, L Da, B Shi, H Wei
Machine Learning, 2023
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
Modeling network-level traffic flow transitions on sparse data
X Lei, H Mei, B Shi, H Wei
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： 国家自然科学基金委员会
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