| Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management R Lian, H Tan, J Peng, Q Li, Y Wu IEEE Transactions on Vehicular Technology 69 (8), 8367-8380, 2020 | 99 | 2020 |
| Cooperative Energy Management and Eco-driving of Plug-in Hybrid Electric Vehicle via Multi-agent Reinforcement Learning YongWang, YuankaiWu, YingjuanTang, QinLi, HongwenHe Applied Energy 332, 120563, 2023 | 46 | 2023 |
| Improving speech recognition models with small samples for air traffic control systems Y Lin, Q Li, B Yang, Z Yan, H Tan, Z Chen Neurocomputing 445, 287-297, 2021 | 36 | 2021 |
| Traffic flow prediction with missing data imputed by tensor completion methods Q Li, H Tan, Y Wu, L Ye, F Ding IEEE Access 8, 63188-63201, 2020 | 24 | 2020 |
| Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model Q Li, H Tan, Z Jiang, Y Wu, L Ye Neurocomputing 430, 138-149, 2021 | 14 | 2021 |
| Freeway short-term travel time prediction based on dynamic tensor completion H Tan, Q Li, Y Wu, W Wang, B Ran Transportation Research Record 2489 (1), 97-104, 2015 | 9 | 2015 |
| Learning spatial-temporal dynamics and interactivity for short-term passenger flow prediction in urban rail transit J Wu, X Li, D He, Q Li, W Xiang Applied Intelligence 53 (16), 19785-19806, 2023 | 6 | 2023 |
| Tensor recovery based non-recurrent traffic congestion recognition H Tan, Q Li, Y Wu, B Ran, BD Liu CICTP 2015, 591-603, 2015 | 5 | 2015 |
| Rail transit OD‐matrix completion via manifold regularized tensor factorisation H Dong, F Ding, H Tan, Y Wu, Q Li, B Ran IET Intelligent Transport Systems 15 (10), 1304-1317, 2021 | 3 | 2021 |
| Tensor completion-based trajectory imputation approach in air traffic control Y Lin, Q Li, D Guo, J Zhang, C Zhang Aerospace Science and Technology 114, 106754, 2021 | 3 | 2021 |
| Spatial–Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition Q Li, X Yang, Y Wang, Y Wu, D He IEEE Transactions on Intelligent Transportation Systems, 2023 | 2 | 2023 |
| Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit J Wu, D He, Z Jin, X Li, Q Li, W Xiang Expert Systems with Applications 245, 123091, 2024 | 1 | 2024 |
| A Time Series Decomposition and Reinforcement Learning Ensemble Method for Short-Term Passenger Flow Prediction in Urban Rail Transit J Wu, D He, X Li, S He, Q Li, C Ren Urban Rail Transit 9 (4), 323-351, 2023 | 1 | 2023 |
| TCN-SA: a social attention network based on temporal convolutional network for vehicle trajectory prediction Q Li, B Ou, Y Liang, Y Wang, X Yang, L Li Journal of advanced transportation 2023, 2023 | | 2023 |
| Traffic Flow Forecasting with Spatial-Temporal Tensor Graph Neural Network X Yang, Q Li, B Ou, H Tan, D He Transportation Research Board 102nd Annual MeetingTransportation Research Board, 2023 | | 2023 |
| Tracking Control for Autonomous Four-Wheel Independently Driven Vehicle Based on Deep Reinforcement Learning J Tang, Q Li, Y Wang, D He, Y Chen 2022 6th CAA International Conference on Vehicular Control and Intelligence …, 2022 | | 2022 |
Wu Yuankai (伍元凯)SMIEEE, Sichuan University, College of Computer ScienceVerified email at scu.edu.cn
