| A Survey on Multimodal Large Language Models for Autonomous Driving C Cui, Y Ma, X Cao, W Ye, Y Zhou, K Liang, J Chen, J Lu, Z Yang, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 51 | 2024 |
| Drive as you speak: Enabling human-like interaction with large language models in autonomous vehicles C Cui, Y Ma, X Cao, W Ye, Z Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 28 | 2024 |
| Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles C Cui, Y Ma, X Cao, W Ye, Z Wang IEEE Intelligent Transportation Systems Magazine, 2024 | 16 | 2024 |
| ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis X Cao*, W Ye*, E Sizikova, X Bai, M Coffee, H Zeng, J Cao IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023 | 11 | 2023 |
| LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs Y Ma, C Cui, X Cao, W Ye, P Liu, J Lu, A Abdelraouf, R Gupta, K Han, ... CVPR, 2023 | 9 | 2023 |
| CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers Y Ma, W Ye, X Cao, A Abdelraouf, K Han, R Gupta, Z Wang IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023 | 7 | 2023 |
| Mitigating Transformer Overconfidence via Lipschitz Regularization W Ye, Y Ma, X Cao, K Tang Uncertainty in Artificial Intelligence (UAI), 2023 | 5 | 2023 |
| MACP: Efficient Model Adaptation for Cooperative Perception Y Ma, J Lu, C Cui, S ZHao, X Cao, W Ye, Z Wang IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 | 4 | 2024 |
| Spurious Correlations in Machine Learning: A Survey W Ye, G Zheng, X Cao, Y Ma, X Hu, A Zhang arXiv preprint arXiv:2402.12715, 2024 | 3 | 2024 |
| Imagined Subgoals for Hierarchical Goal-conditioned Policies X Kang, W Ye, YL Kuo CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 2023 | 2 | 2023 |
| Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models W Ye, F Xu, Y Huang, C Huang arXiv preprint arXiv:2110.01094, 2021 | 2 | 2021 |
| Combining FCA-Map with Representation Learning for Aligning Large Biomedical Ontologies G Li, S Zhang, J Wei, W Ye International Semantic Web Conference, The Sixteenth International Workshop …, 2021 | 2 | 2021 |
| MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding CZ Xu Cao, Tong Zhou, Yunsheng Ma, Wenqian Ye, Can Cui, Kun Tang, Zhipeng ... CVPR, 2024 | | 2024 |
| Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins C Cui, Y Ma, X Cao, W Ye, Z Wang 2023 IEEE/ACM Symposium on Edge Computing (SEC), 319-324, 2023 | | 2023 |
| PIE: Simulating Disease Progression via Progressive Image Editing K Liang, X Cao, KD Liao, T Gao, W Ye, Z Chen, J Cao, T Nama, J Sun arXiv preprint arXiv:2309.11745, 2023 | | 2023 |
| Uncertainty Estimation in Deterministic Vision Transformer W Ye, Y Ma, X Cao UDM-AAAI 2023, 2023 | | 2023 |
