2027
Designing Versatile Samples for Learned Trajectory Scoring
Yaguang Li, Jiaru Zhang, Chuheng Wei, Can Cui, Ziran Wang IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2027 [Paper]
2026
Analytical Correction for Subsampling Bias in Drifting Models
Jiaru Zhang, Zeyun Deng, Juanwu Lu, Ziran Wang, Ruqi Zhang Conference on Neural Information Processing Systems (NeurIPS), 2026 [Paper]
ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving
Can Cui, Jiaru Zhang, Yupeng Zhou, Juntong Peng, Sung-Yeon Park, Zichong Yang, Prashanth Sankaranarayanan, Ruqi Zhang, Ziran Wang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026 [Paper]
OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving
Juntong Peng, Juanwu Lu, Yupeng Zhou, Can Cui, Yaobin Chen, Ziran Wang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026 [Paper]
FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages
Juntong Peng, Qi Chen, Deyuan Qu, Takayuki Shimizu, Yaobin Chen, Ziran Wang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026 [Paper]
SIMSplat: Language-Aligned 4D Gaussian Splatting for Driving Scenario Generation
Sung-Yeon Park, Adam Lee, Juanwu Lu, Can Cui, Luyang Jiang, Rohit Gupta, Kyungtae Han, Ahmadreza Moradipari, Ziran Wang European Conference on Computer Vision (ECCV), 2026 [Paper]
VLM-DC: Vision Language Model for Automotive Data Collection
Can Cui*, Juntong Peng*, Sung-Yeon Park, Yongkang Liu, Seyhan Ucar, Satoshi Kitai, Ahmadreza Moradipari, Maryam Khabazi, Ziran Wang IEEE Internet of Things Journal, 2026 [Paper]
MTA: Multimodal Task Alignment for BEV Perception and Captioning
Yunsheng Ma, Burhaneddin Yaman, Xin Ye, Jingru Luo, Feng Tao, Abhirup Mallik, Ziran Wang, Liu Ren IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 [Paper]
Accelerating Inference of Discrete Autoregressive Normalizing Flows by Selective Jacobi Decoding
Jiaru Zhang, Juanwu Lu, Xiaoyu Wu, Ziran Wang, Ruqi Zhang Transactions on Machine Learning Research (TMLR), 2026 [Paper]
A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
Yupeng Zhou, Can Cui, Juntong Peng, Zichong Yang, Juanwu Lu, Jitesh Panchal, Bin Yao, Ziran Wang ACM Transactions on Internet of Things, 2026 [Paper]
LLM4AD: Large Language Models for Autonomous Driving — Concept, Review, Benchmark, Experiments, and Future Trends
Can Cui*, Yunsheng Ma*, Sung-Yeon Park, Zichong Yang, Yupeng Zhou, Peiran Liu, Juanwu Lu, Juntong Peng, Jiaru Zhang, Ruqi Zhang, Lingxi Li, Yaobin Chen, Jitesh H. Panchal, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Ziran Wang Proceedings of the IEEE, 2026 [Paper]
2025
A Multi-Fidelity Risk-Based Testing Framework for Evolving AI Systems: An Autonomous Driving Study
Zichong Yang, Jitesh H. Panchal, Ziran Wang IEEE International Conference on Intelligent Transportation Systems (ITSC), 2025 [Paper]
DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection
Can Cui, Yongkang Liu, Seyhan Ucar, Juntong Peng, Ahmadreza Moradipari, Maryam Khabazi, Ziran Wang The Conference on Empirical Methods in Natural Language Processing (EMNLP), Industry Track, 2025 [Paper]
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 Panchal, Lingxi Li, Yaobin Chen, Ziran Wang 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 [Paper]
On Learning Closed-Loop Probabilistic Multi-Agent Simulator
Juanwu Lu, Rohit Gupta, Ahmadreza Moradipari, Kyungtae Han, Ruqi Zhang, Ziran Wang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 [Paper]
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
Sung-Yeon Park, Can Cui, Yunsheng Ma, Ahmadreza Moradipari, Rohit Gupta, Kyungtae Han, Ziran Wang International Conference on Computer Vision, ICCV, 2025 [Paper]
Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving
Yunsheng Ma, Amr Abdelraouf, Rohit Gupta, Ziran Wang, Kyungtae Han IEEE Intelligent Vehicles Symposium (IV), 2025 [Paper]
2024
Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models
Yunsheng Ma, Xu Cao, Wenqian Ye, Can Cui, Kai Mei, Ziran Wang The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 [Paper]
Driver Digital Twin for Online Recognition of Distracted Driving Behaviors
Yunsheng Ma, Runjia Du, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang IEEE Transactions on Intelligent Vehicles [Paper]
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 Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024 [Paper]
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 Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024 [Paper]
MACP: Efficient Model Adaptation for Cooperative Perception
Yunsheng Ma*, Juanwu Lu*, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang Winter Conference on Applications of Computer Vision (WACV), 2024 [Paper]
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; IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023 [Paper]
A survey of federated learning for connected and automated vehicles
Chellapandi, Vishnu Pandi, Liangqi Yuan, Stanislaw H. Zak, Ziran Wang; IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023 [Paper]
M2DAR: Multi-View Multi-Scale Driver Action Recognition With Vision Transformer
Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Zihao Li, Ziran Wang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 5286-5293 [Paper] [Code]
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
Liangqi Yuan, Yunsheng Ma, Lu Su, Ziran Wang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 5249-5258 [Paper]
