| Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks Q Wu, H Zheng, X Guo, G Liu Renewable Energy 199, 977-992, 2022 | 69 | 2022 |
| Distributed agent-based deep reinforcement learning for large scale traffic signal control Q Wu, J Wu, J Shen, B Du, A Telikani, M Fahmideh, C Liang Knowledge-based systems 241, 108304, 2022 | 62 | 2022 |
| Expression might be enough: Representing pressure and demand for reinforcement learning based traffic signal control L Zhang, Q Wu, J Shen, L Lü, B Du, J Wu International Conference on Machine Learning, 26645-26654, 2022 | 51 | 2022 |
| ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks Q Wu, B Zhu, B Yong, Y Wei, X Jiang, R Zhou, Q Zhou Connection Science 33 (2), 341-358, 2021 | 46 | 2021 |
| SATP-GAN: Self-attention based generative adversarial network for traffic flow prediction L Zhang, J Wu, J Shen, M Chen, R Wang, X Zhou, C Xu, Q Yao, Q Wu Transportmetrica B: Transport Dynamics 9 (1), 552-568, 2021 | 43 | 2021 |
| Smart fog based workflow for traffic control networks Q Wu, J Shen, B Yong, J Wu, F Li, J Wang, Q Zhou Future Generation Computer Systems 97, 825-835, 2019 | 40 | 2019 |
| Towards attention-based convolutional long short-term memory for travel time prediction of bus journeys J Wu, Q Wu, J Shen, C Cai Sensors 20 (12), 3354, 2020 | 39 | 2020 |
| An edge based multi-agent auto communication method for traffic light control Q Wu, J Wu, J Shen, B Yong, Q Zhou Sensors 20 (15), 4291, 2020 | 30 | 2020 |
| Efficient pressure: Improving efficiency for signalized intersections Q Wu, L Zhang, J Shen, L Lü, B Du, J Wu arXiv preprint arXiv:2112.02336, 2021 | 29 | 2021 |
| The bounds of improvements toward real-time forecast of multi-scenario train delays J Wu, Y Wang, B Du, Q Wu, Y Zhai, J Shen, L Zhou, C Cai, W Wei, Q Zhou IEEE Transactions on Intelligent Transportation Systems 23 (3), 2445-2456, 2021 | 20 | 2021 |
| Characterization of a cluster of CTCF-binding sites in a protocadherin regulatory region. YN Zhai, Q Xu, Y Guo, Q Wu Yi Chuan= Hereditas 38 (4), 323-336, 2016 | 19 | 2016 |
| Higher-order graph convolutional network with flower-petals laplacians on simplicial complexes Y Huang, Y Zeng, Q Wu, L Lü Proceedings of the AAAI conference on artificial intelligence 38 (11), 12653 …, 2024 | 15 | 2024 |
| Transformerlight: A novel sequence modeling based traffic signaling mechanism via gated transformer Q Wu, M Li, J Shen, L Lü, B Du, K Zhang Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 11 | 2023 |
| Influential simplices mining via simplicial convolutional networks Y Zeng, Y Huang, Q Wu, L Lü Information Processing & Management 61 (5), 103813, 2024 | 10 | 2024 |
| A GTFS data acquisition and processing framework and its application to train delay prediction J Wu, B Du, Z Gong, Q Wu, J Shen, L Zhou, C Cai International Journal of Transportation Science and Technology 12 (1), 201-216, 2023 | 10 | 2023 |
| Attentionlight: Rethinking queue length and attention mechanism for traffic signal control L Zhang, Q Wu, J Deng arXiv preprint arXiv:2201.00006, 2021 | 9 | 2021 |
| A hybrid LSTM-CPS approach for long-term prediction of train delays in multivariate time series J Wu, B Du, Q Wu, J Shen, L Zhou, C Cai, Y Zhai, W Wei, Q Zhou Future transportation 1 (3), 765-776, 2021 | 8 | 2021 |
| Entity knowledge transfer-oriented dual-target cross-domain recommendations Y Li, Q Wu, L Hou, J Li Expert Systems with Applications 195, 116591, 2022 | 7 | 2022 |
| Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium W Wei, Q Wu, J Shen, J Wu, B Du, T Li IEEE SmartCity-2021 (Best paper), 2021 | 5 | 2021 |
| Communicate with traffic lights and vehicles based on multi-agent reinforcement learning Q Wu, P Zhi, Y Wei, L Zhang, J Wu, Q Zhou, Q Zhou, P Gao 2021 IEEE 24th International Conference on Computer Supported Cooperative …, 2021 | 4 | 2021 |
