Generative adversarial networks: introduction and outlook K Wang, C Gou, Y Duan, Y Lin, X Zheng, FY Wang IEEE/CAA Journal of Automatica Sinica 4 (4), 588-598, 2017 | 643 | 2017 |
Capturing car-following behaviors by deep learning X Wang, R Jiang, L Li, Y Lin, X Zheng, FY Wang IEEE Transactions on Intelligent Transportation Systems 19 (3), 910-920, 2017 | 289 | 2017 |
Parallel testing of vehicle intelligence via virtual-real interaction L Li, X Wang, K Wang, Y Lin, J Xin, L Chen, L Xu, B Tian, Y Ai, J Wang, ... Science robotics 4 (28), eaaw4106, 2019 | 235 | 2019 |
Parallel learning: A perspective and a framework L Li, Y Lin, N Zheng, FY Wang IEEE/CAA Journal of Automatica Sinica 4 (3), 389-395, 2017 | 189 | 2017 |
What does ChatGPT say: The DAO from algorithmic intelligence to linguistic intelligence FY Wang, Q Miao, X Li, X Wang, Y Lin IEEE/CAA Journal of Automatica Sinica 10 (3), 575-579, 2023 | 183 | 2023 |
平行学习——机器学习的一个新型理论框架 李力, 林懿伦, 曹东璞, 郑南宁, 王飞跃 自动化学报 43 (1), 1-8, 2017 | 163* | 2017 |
Artificial intelligence test: A case study of intelligent vehicles L Li, YL Lin, NN Zheng, FY Wang, Y Liu, D Cao, K Wang, WL Huang Artificial Intelligence Review 50, 441-465, 2018 | 145 | 2018 |
生成式对抗网络 GAN 的研究进展与展望 王坤峰, 苟超, 段艳杰, 林懿伦, 郑心湖, 王飞跃 自动化学报 43 (3), 321-332, 2017 | 116 | 2017 |
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 | 95 | 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 | 83 | 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 | 83 | 2018 |
Long memory is important: A test study on deep-learning based car-following model X Wang, R Jiang, L Li, YL Lin, FY Wang Physica A: Statistical Mechanics and its Applications 514, 786-795, 2019 | 72 | 2019 |
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 | 64 | 2017 |
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 | 63* | 2018 |
社会计算与计算社会: 智慧社会的基础与必然 王飞跃, 王晓, 袁勇, 王涛, 林懿伦 科学通报 (中文版) 60 (5/6), 460-469, 2015 | 59* | 2015 |
Transportation 5.0: The DAO to safe, secure, and sustainable intelligent transportation systems FY Wang, Y Lin, PA Ioannou, L Vlacic, X Liu, A Eskandarian, Y Lv, X Na, ... IEEE Transactions on Intelligent Transportation Systems, 2023 | 58 | 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 | 31 | 2022 |
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 | 29 | 2022 |
Skywork-daVinci: A novel CPSS-based painting support system C Guo, T Bai, Y Lu, Y Lin, G Xiong, X Wang, FY Wang 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 29 | 2020 |
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 | 23 | 2023 |