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2020 – today
- 2024
[j1]Can Cui
, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang:
Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles. IEEE Intell. Transp. Syst. Mag. 16(4): 81-94 (2024)- [c12]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:
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. CVPR 2024: 15141-15151 - [c11]Xu Cao, Tong Zhou, Yunsheng Ma, Wenqian Ye, Can Cui, Kun Tang, Zhipeng Cao, Kaizhao Liang, Ziran Wang, James M. Rehg, Chao Zheng:
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding. CVPR 2024: 21819-21830 - [c10]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. IJCAI 2024: 5599-5607 - [c9]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers. KDD 2024: 4524-4535 - [c8]Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang:
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles. WACV (Workshops) 2024: 902-909 - [c7]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:
A Survey on Multimodal Large Language Models for Autonomous Driving. WACV (Workshops) 2024: 958-979 - [c6]Yunsheng Ma, Juanwu Lu, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang:
MACP: Efficient Model Adaptation for Cooperative Perception. WACV 2024: 3361-3370 - [i16]Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma, Xia Hu, Aidong Zhang:
Spurious Correlations in Machine Learning: A Survey. CoRR abs/2402.12715 (2024) - [i15]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. CoRR abs/2405.03649 (2024) - [i14]Xu Cao, Bolin Lai, Wenqian Ye, Yunsheng Ma, Joerg Heintz, Jintai Chen, Jianguo Cao, James M. Rehg:
What is the Visual Cognition Gap between Humans and Multimodal LLMs? CoRR abs/2406.10424 (2024) - [i13]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers. CoRR abs/2406.10742 (2024) - [i12]Wenqian Ye, Guangtao Zheng, Yunsheng Ma, Xu Cao, Bolin Lai, James M. Rehg, Aidong Zhang:
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. CoRR abs/2406.17126 (2024) - [i11]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Benchmarking Spurious Bias in Few-Shot Image Classifiers. CoRR abs/2409.02882 (2024) - 2023
- [c5]Xu Cao, Wenqian Ye, Elena Sizikova, Xue Bai, Megan Coffee, Hongwu Zeng, Jianguo Cao:
Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis. ICASSP 2023: 1-5 - [c4]Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang:
Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins. SEC 2023: 319-324 - [c3]Yunsheng Ma, Wenqian Ye, Xu Cao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang:
CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers. ITSC 2023: 4960-4966 - [c2]Wenqian Ye, Yunsheng Ma, Xu Cao, Kun Tang:
Mitigating Transformer Overconfidence via Lipschitz Regularization. UAI 2023: 2422-2432 - [i10]Yunsheng Ma, Wenqian Ye, Xu Cao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang:
CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers. CoRR abs/2305.07840 (2023) - [i9]Wenqian Ye, Yunsheng Ma, Xu Cao, Kun Tang:
Mitigating Transformer Overconfidence via Lipschitz Regularization. CoRR abs/2306.06849 (2023) - [i8]Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang:
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles. CoRR abs/2309.10228 (2023) - [i7]Kaizhao Liang, Xu Cao, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Zhengyu Chen, Jianguo Cao, Tejas Nama, Jimeng Sun:
PIE: Simulating Disease Progression via Progressive Image Editing. CoRR abs/2309.11745 (2023) - [i6]Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang:
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles. CoRR abs/2310.08034 (2023) - [i5]Yunsheng Ma, Juanwu Lu, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang:
MACP: Efficient Model Adaptation for Cooperative Perception. CoRR abs/2310.16870 (2023) - [i4]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:
A Survey on Multimodal Large Language Models for Autonomous Driving. CoRR abs/2311.12320 (2023) - [i3]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:
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. CoRR abs/2312.04372 (2023) - 2022
- [i2]Xu Cao, Wenqian Ye, Elena Sizikova, Xue Bai, Megan Coffee, Hongwu Zeng, Jianguo Cao:
ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis. CoRR abs/2210.16943 (2022) - 2021
- [c1]Guoxuan Li, Songmao Zhang, Jiayi Wei, Wenqian Ye:
Combining FCA-Map with representation learning for aligning large biomedical ontologies. OM@ISWC 2021: 207-208 - [i1]Wenqian Ye, Fei Xu, Yaojia Huang, Cassie Huang, Ji A:
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models. CoRR abs/2110.01094 (2021)
Coauthor Index
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