Wenqian Ye
Orcid: 0000-0002-6069-5153
According to our database1,
Wenqian Ye
authored at least 20 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles.
IEEE Intell. Transp. Syst. Mag., 2024
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023
Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2023
2021
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models.
CoRR, 2021
Combining FCA-Map with representation learning for aligning large biomedical ontologies.
Proceedings of the 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021