| Pattern sensitive prediction of traffic flow based on generative adversarial framework Y Lin, X Dai, L Li, FY Wang IEEE Transactions on Intelligent Transportation Systems 20 (6), 2395-2400, 2018 | 106 | 2018 |
| DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending X Dai, R Fu, E Zhao, Z Zhang, Y Lin, FY Wang, L Li Transportation Research Part C: Emerging Technologies 103, 142-157, 2019 | 92 | 2019 |
| An efficient deep reinforcement learning model for urban traffic control Y Lin, X Dai, L Li, FY Wang arXiv preprint arXiv:1808.01876, 2018 | 90 | 2018 |
| Deeptrend: A deep hierarchical neural network for traffic flow prediction X Dai, R Fu, Y Lin, L Li, FY Wang arXiv preprint arXiv:1707.03213, 2017 | 70 | 2017 |
| Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving J Lu, L Han, Q Wei, X Wang, X Dai, FY Wang IEEE Transactions on Intelligent Vehicles 8 (4), 2821-2831, 2023 | 68 | 2023 |
| Advanced scenario generation for calibration and verification of autonomous vehicles X Li, S Teng, B Liu, X Dai, X Na, FY Wang IEEE Transactions on Intelligent Vehicles 8 (5), 3211-3216, 2023 | 49 | 2023 |
| ArtVerse: a paradigm for parallel human–machine collaborative painting creation in metaverses C Guo, Y Dou, T Bai, X Dai, C Wang, Y Wen IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (4), 2200-2208, 2023 | 49 | 2023 |
| Decentralized autonomous operations and organizations in transverse: Federated intelligence for smart mobility C Zhao, X Dai, Y Lv, J Niu, Y Lin IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (4), 2062-2072, 2022 | 45 | 2022 |
| 人工智能研究的新前线: 生成式对抗网络 林懿伦， 戴星原， 李力， 王晓， 王飞跃 自动化学报 44 (5), 775-792, 2018 | 43 | 2018 |
| Mobility 5.0: Smart logistics and transportation services in cyber-physical-social systems Y Lin, X Na, D Wang, X Dai, FY Wang IEEE Transactions on Intelligent Vehicles 8 (6), 3527-3532, 2023 | 41 | 2023 |
| Data-efficient image captioning of fine art paintings via virtual-real semantic alignment training Y Lu, C Guo, X Dai, FY Wang Neurocomputing 490, 163-180, 2022 | 40 | 2022 |
| Safety-balanced driving-style aware trajectory planning in intersection scenarios with uncertain environment X Wang, K Tang, X Dai, J Xu, J Xi, R Ai, Y Wang, W Gu, C Sun IEEE Transactions on Intelligent Vehicles 8 (4), 2888-2898, 2023 | 39 | 2023 |
| Image-based traffic signal control via world models X Dai, C Zhao, X Wang, Y Lv, Y Lin, FY Wang Frontiers of Information Technology & Electronic Engineering 23 (12), 1795-1813, 2022 | 34 | 2022 |
| Foundation models for transportation intelligence: ITS convergence in TransVerse C Zhao, X Dai, Y Lv, Y Tian, Y Ren, FY Wang IEEE Intelligent Systems 37 (6), 77-82, 2022 | 26 | 2022 |
| 问答 ChatGPT 之后: 超大预训练模型的机遇和挑战 卢经纬， 郭超， 戴星原， 缪青海， 王兴霞， 杨静， 王飞跃 自动化学报 49 (4), 705-717, 2023 | 25 | 2023 |
| Master general parking skill via deep learning YL Lin, L Li, XY Dai, NN Zheng, FY Wang 2017 IEEE Intelligent Vehicles Symposium (IV), 941-946, 2017 | 23 | 2017 |
| Deep imitation learning for traffic signal control and operations based on graph convolutional neural networks X Li, Z Guo, X Dai, Y Lin, J Jin, F Zhu, FY Wang 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 21 | 2020 |
| ShadowPainter: Active learning enabled robotic painting through visual measurement and reproduction of the artistic creation process C Guo, T Bai, X Wang, X Zhang, Y Lu, X Dai, FY Wang Journal of Intelligent & Robotic Systems 105 (3), 61, 2022 | 20 | 2022 |
| The road ahead: DAO-secured V2X infrastructures for safe and smart vehicular management X Dai, M Vallati, R Guo, Y Wang, S Han, Y Lin IEEE Transactions on Intelligent Vehicles, 2023 | 17 | 2023 |
| VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation X Dai, C Guo, Y Tang, H Li, Y Wang, J Huang, Y Tian, X Xia, Y Lv, ... IEEE Transactions on Intelligent Vehicles, 2024 | 15 | 2024 |
