Wenqian Ye

Orcid: 0000-0002-6069-5153

According to our database1, Wenqian Ye authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles.
IEEE Intell. Transp. Syst. Mag., 2024

MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs.
CoRR, 2024

What is the Visual Cognition Gap between Humans and Multimodal LLMs?
CoRR, 2024

Spurious Correlations in Machine Learning: A Survey.
CoRR, 2024

MACP: Efficient Model Adaptation for Cooperative Perception.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Survey on Multimodal Large Language Models for Autonomous Driving.
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

Spuriousness-Aware Meta-Learning for Learning Robust Classifiers.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Benchmarking Spurious Bias in Few-Shot Image Classifiers.
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
PIE: Simulating Disease Progression via Progressive Image Editing.
CoRR, 2023

Mitigating Transformer Overconfidence via Lipschitz Regularization.
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


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