Wenqian Ye

According to our database, Wenqian Ye authored at least 30 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten.

Wei Qian, Chenxu Zhao, Yangyi Li, Wenqian Ye, Mengdi Huai

CoRR, August, 2025

Improving Group Robustness on Spurious Correlation via Evidential Alignment.

Wenqian Ye, Guangtao Zheng, Aidong Zhang

CoRR, June, 2025

NeuronTune: Towards Self-Guided Spurious Bias Mitigation.

Guangtao Zheng, Wenqian Ye, Aidong Zhang

CoRR, May, 2025

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium.

Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour

CoRR, February, 2025

Position: Prospective of Autonomous Driving - Multimodal LLMs, World Models, Embodied Intelligence, AI Alignment, and Mamba.

Yunsheng Ma, Wenqian Ye, Can Cui, Haiming Zhang, Shuo Xing, Fucai Ke, Jinhong Wang, Chenglin Miao, Jintai Chen, Hamid Rezatofighi, Zhen Li, Guangtao Zheng, Chao Zheng, Tianjiao He, Manmohan Chandraker, Burhaneddin Yaman, Xin Ye, Hang Zhao, Xu Cao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models.

Guangtao Zheng, Wenqian Ye, Aidong Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles.

Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang

IEEE Intell. Transp. Syst. Mag., 2024

Medical Video Generation for Disease Progression Simulation.

Xu Cao, Kaizhao Liang, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Jintai Chen, Zhiguang Ding, Jianguo Cao, James M. Rehg, Jimeng Sun

CoRR, 2024

On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation.

Can Cui, Zichong Yang, Yupeng Zhou, Juntong Peng, Sung-Yeon Park, Cong Zhang, Yunsheng Ma, Xu Cao, Wenqian Ye, Yiheng Feng, Jitesh H. Panchal, Lingxi Li, Yaobin Chen, Ziran Wang

CoRR, 2024

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

Wenqian Ye, Guangtao Zheng, Yunsheng Ma, Xu Cao, Bolin Lai, James M. Rehg, Aidong Zhang

CoRR, 2024

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

Xu Cao, Bolin Lai, Wenqian Ye, Yunsheng Ma, Joerg Heintz, Jintai Chen, Jianguo Cao, James M. Rehg

CoRR, 2024

Spurious Correlations in Machine Learning: A Survey.

Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma, Xia Hu, Aidong Zhang

CoRR, 2024

MACP: Efficient Model Adaptation for Cooperative Perception.

Yunsheng Ma, Juanwu Lu, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Survey on Multimodal Large Language Models for Autonomous Driving.

Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng

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.

Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records.

Adibvafa Fallahpour, Mahshid Alinoori, Wenqian Ye, Xu Cao, Arash Afkanpour, Amrit Krishnan

Proceedings of the Machine Learning for Health, 2024

MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection.

Xu Cao, Wenqian Ye, Kenny Moise, Megan Coffee

Proceedings of the Machine Learning for Health, 2024

Spuriousness-Aware Meta-Learning for Learning Robust Classifiers.

Guangtao Zheng, Wenqian Ye, Aidong Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation.

Guangtao Zheng, Wenqian Ye, Aidong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models.

Yunsheng Ma, Xu Cao, Wenqian Ye, Can Cui, Kai Mei, Ziran Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Benchmarking Spurious Bias in Few-Shot Image Classifiers.

Guangtao Zheng, Wenqian Ye, Aidong Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.

Yunsheng Ma, Can Cui, Xu Cao, Wenqian Ye, Peiran Liu, Juanwu Lu, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Aniket Bera, James M. Rehg, Ziran Wang

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.

Xu Cao, Tong Zhou, Yunsheng Ma, Wenqian Ye, Can Cui, Kun Tang, Zhipeng Cao, Kaizhao Liang, Ziran Wang, James M. Rehg, Chao Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PIE: Simulating Disease Progression via Progressive Image Editing.

Kaizhao Liang, Xu Cao, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Zhengyu Chen, Jianguo Cao, Tejas Nama, Jimeng Sun

CoRR, 2023

Mitigating Transformer Overconfidence via Lipschitz Regularization.

Wenqian Ye, Yunsheng Ma, Xu Cao, Kun Tang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers.

Yunsheng Ma, Wenqian Ye, Xu Cao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins.

Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis.

Xu Cao, Wenqian Ye, Elena Sizikova, Xue Bai, Megan Coffee, Hongwu Zeng, Jianguo Cao

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models.

Wenqian Ye, Fei Xu, Yaojia Huang, Cassie Huang, Ji A

CoRR, 2021

Combining FCA-Map with representation learning for aligning large biomedical ontologies.

Guoxuan Li, Songmao Zhang, Jiayi Wei, Wenqian Ye

Proceedings of the 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021