| DeepPF: A deep learning based architecture for metro passenger flow prediction Y Liu, Z Liu, R Jia Transportation Research Part C: Emerging Technologies 101, 18-34, 2019 | 395 | 2019 |
| Can language models be used for real-world urban-delivery route optimization? Y Liu, F Wu, Z Liu, K Wang, F Wang, X Qu The Innovation 4 (6), 2023 | 121 | 2023 |
| A tailored machine learning approach for urban transport network flow estimation Z Liu, Y Liu, Q Meng, Q Cheng Transportation Research Part C: Emerging Technologies 108, 130-150, 2019 | 108 | 2019 |
| Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform Y Liu, F Wu, C Lyu, S Li, J Ye, X Qu Transportation Research Part E: Logistics and Transportation Review 161, 102694, 2022 | 107 | 2022 |
| How machine learning informs ride-hailing services: A survey Y Liu, R Jia, J Ye, X Qu Communications in Transportation Research 2, 100075, 2022 | 101 | 2022 |
| DeepTSP: Deep traffic state prediction model based on large-scale empirical data Y Liu, C Lyu, Y Zhang, Z Liu, W Yu, X Qu Communications in transportation research 1, 100012, 2021 | 98 | 2021 |
| Exploring a large-scale multi-modal transportation recommendation system Y Liu, C Lyu, Z Liu, J Cao Transportation Research Part C: Emerging Technologies 126, 103070, 2021 | 80 | 2021 |
| Envisioning the future of transportation: Inspiration of ChatGPT and large models X Qu, H Lin, Y Liu Communications in Transportation Research 3, 100103, 2023 | 72 | 2023 |
| Building personalized transportation model for online taxi-hailing demand prediction Z Liu, Y Liu, C Lyu, J Ye IEEE Transactions on Cybernetics 51 (9), 4602-4610, 2020 | 53 | 2020 |
| Automatic feature engineering for bus passenger flow prediction based on modular convolutional neural network Y Liu, C Lyu, X Liu, Z Liu IEEE Transactions on Intelligent Transportation Systems 22 (4), 2349-2358, 2020 | 52 | 2020 |
| Attention-based deep ensemble net for large-scale online taxi-hailing demand prediction Y Liu, Z Liu, C Lyu, J Ye IEEE transactions on intelligent transportation systems 21 (11), 4798-4807, 2019 | 52 | 2019 |
| How generative adversarial networks promote the development of intelligent transportation systems: A survey H Lin, Y Liu, S Li, X Qu IEEE/CAA journal of automatica sinica 10 (9), 1781-1796, 2023 | 51 | 2023 |
| A spatio‐temporal ensemble method for large‐scale traffic state prediction Y Liu, Z Liu, HL Vu, C Lyu Computer‐Aided Civil and Infrastructure Engineering 35 (1), 26-44, 2020 | 51 | 2020 |
| Deep adaptive control: Deep reinforcement learning-based adaptive vehicle trajectory control algorithms for different risk levels Y He, Y Liu, L Yang, X Qu IEEE Transactions on Intelligent Vehicles 9 (1), 1654-1666, 2023 | 50 | 2023 |
| Spatio-temporal ensemble method for car-hailing demand prediction Y Liu, C Lyu, A Khadka, W Zhang, Z Liu IEEE Transactions on Intelligent Transportation Systems 21 (12), 5328-5333, 2019 | 48 | 2019 |
| A two-stage destination prediction framework of shared bicycles based on geographical position recommendation Y Liu, R Jia, X Xie, Z Liu IEEE Intelligent Transportation Systems Magazine 11 (1), 42-47, 2018 | 42 | 2018 |
| Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review Y Yang, Y Liu, G Li, Z Zhang, Y Liu Transportation research part E: logistics and transportation review 183, 103426, 2024 | 36 | 2024 |
| Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators Y Fei, P Shi, Y Li, Y Liu, X Qu Knowledge-Based Systems 284, 111292, 2024 | 32 | 2024 |
| Modelling the energy consumption of electric vehicles under uncertain and small data conditions Y Liu, Q Zhang, C Lyu, Z Liu Transportation Research Part A: Policy and Practice 154, 313-328, 2021 | 29 | 2021 |
| Behavior2vector: Embedding users’ personalized travel behavior to vector Y Liu, F Wu, C Lyu, X Liu, Z Liu IEEE Transactions on Intelligent Transportation Systems 23 (7), 8346-8355, 2021 | 28 | 2021 |
Xiaobo Qu (曲小波)Chair Professor of Intelligent TransportationEmail được xác minh tại tsinghua.edu.cn