| ST-A-PGCL: Spatiotemporal adaptive periodical graph contrastive learning for traffic prediction under real scenarios Y Qu, J Rong, Z Li, K Chen Knowledge-Based Systems 272, 110591, 2023 | 16 | 2023 |
| Towards real-world traffic prediction and data imputation: A multi-task pretraining and fine-tuning approach Y Qu, Z Li, X Zhao, J Ou Information Sciences 657, 119972, 2024 | 7 | 2024 |
| Crash/Near‐Crash Analysis of Naturalistic Driving Data Using Association Rule Mining Y Qu, Z Li, Q Liu, M Pan, Z Zhang Journal of Advanced Transportation 2022 (1), 6562649, 2022 | 3 | 2022 |
| VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving Z Huang, Z Sheng, Y Qu, J You, S Chen arXiv preprint arXiv:2412.15544, 2024 | | 2024 |
| Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model Y Qu, Z Huang, Z Sheng, T Chen, S Chen arXiv preprint arXiv:2411.03672, 2024 | | 2024 |
| Traffic flow prediction based on graph wave adaptive spatiotemporal graph convolution network M Diao, Y Qu, L Wu, Z Li International Conference on Smart Transportation and City Engineering (STCE …, 2024 | | 2024 |
| A Method for Evaluating the Safety over the Takeover Process of the Level 3 Automated Vehicles Based on IAHP-EWM-LDM LI Zhenlong, PAN Mengniu, QU Yansong, Z Xiaohua, G Jianguo, ... Journal of Transport Information and Safety 41 (4), 14-23, 2023 | | 2023 |
Zihao ShengUniversity of Wisconsin-MadisonBestätigte E-Mail-Adresse bei wisc.edu