| Driving safety assessment for ride-hailing drivers H Mao, X Deng, H Jiang, L Shi, H Li, L Tuo, D Shi, F Guo Accident Analysis & Prevention 149, 105574, 2021 | 59 | 2021 |
| Real-time driving risk assessment using deep learning with XGBoost L Shi, C Qian, F Guo Accident Analysis & Prevention 178, 106836, 2022 | 37 | 2022 |
| DuST: Dual Swin Transformer for Multi-modal Video and Time-Series Modeling L Shi, Y Chen, M Liu, F Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Driving Risk Assessment Based on High-frequency, High-resolution Telematics Data F Guo, C Qian, L Shi SAFE-D: Safety Through Disruption National University Transportation Center, 2022 | 3 | 2022 |
| Two-stream video-based deep learning model for crashes and near-crashes L Shi, F Guo Transportation Research Part C: Emerging Technologies 166, 104794, 2024 | 2 | 2024 |
| Enhanced Feature Representation in Multi-Modal Learning for Driving Safety Assessment L Shi Virginia Tech, 2024 | | 2024 |
| ScVLM: a Vision-Language Model for Driving Safety Critical Event Understanding L Shi, B Jiang, F Guo arXiv preprint arXiv:2410.00982, 2024 | | 2024 |
Feng GuoVirginia TechAdresse e-mail validée de vt.edu