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<!DOCTYPE HTML>
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<title>DT Lab at Purdue University</title>
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<h1><a href="index.html" class="icon brands fa-purdue">Purdue Digital Twin Lab</a></h1>
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<h2><br>2025</h2>
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<span class="image fit style3"><img src="assets/images/teaser/cover_onboard.png" alt=""/></span>
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<div class="col-9 col-12-medium">
<h3>On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation</h3>
<p><strong><em>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</em></strong>
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
<a href="https://arxiv.org/abs/2411.11913">
[Paper]</a>
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<h3>NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models</h3>
<p><strong><em>Sung-Yeon Park, Can Cui, Yunsheng Ma, Ahmadreza Moradipari, Rohit Gupta, Kyungtae Han, Ziran Wang</em></strong>
International Conference on Computer Vision, ICCV, 2025
<a href="https://arxiv.org/abs/2503.12772">
[Paper]</a>
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<h3>Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving</h3>
<p><strong><em>Yunsheng Ma, Amr Abdelraouf, Rohit Gupta, Ziran Wang, Kyungtae Han</em></strong>
IEEE Intelligent Vehicles Symposium (IV), 2025
<a href="https://arxiv.org/abs/2409.11182">
[Paper]</a>
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<h3>Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models</h3>
<p><strong><em>Yunsheng Ma, Xu Cao, Wenqian Ye, Can Cui, Kai Mei, Ziran Wang</em></strong>
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
<a href="https://aclanthology.org/2024.findings-emnlp.287/">
[Paper]</a>
</p>
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<h2><br>2024</h2>
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<span class="image fit style3"><img src="assets/images/teaser/cover_ddt.png" alt=""/></span>
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<h3>Driver Digital Twin for Online Recognition of Distracted Driving Behaviors</h3>
<p><strong><em>Yunsheng Ma, Runjia Du, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang</em></strong>
IEEE Transactions on Intelligent Vehicles
<a href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7274857">
[Paper]</a>
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<span class="image fit style3"><img src="assets/images/teaser/cover_red_tiv.png" alt=""/></span>
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<h3>A Survey on Multimodal Large Language Models for Autonomous Driving </h3>
<p><strong><em>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</em></strong>
Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024
<a href="https://openaccess.thecvf.com/content/WACV2024W/LLVM-AD/html/Cui_A_Survey_on_Multimodal_Large_Language_Models_for_Autonomous_Driving_WACVW_2024_paper.html">
[Paper]</a>
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<h3>Drive As You Speak: Enabling Human-Like Interaction With Large Language Models in Autonomous Vehicles </h3>
<p><strong><em>Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang</em></strong>
Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024
<a href="https://openaccess.thecvf.com/content/WACV2024W/LLVM-AD/html/Cui_Drive_As_You_Speak_Enabling_Human-Like_Interaction_With_Large_Language_WACVW_2024_paper.html">
[Paper]</a>
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<span class="image fit style3"><img src="assets/images/teaser/cover_macp.png" alt=""/></span>
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<h3>MACP: Efficient Model Adaptation for Cooperative Perception</h3>
<p><strong><em>Yunsheng Ma*, Juanwu Lu*, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang</em></strong>
Winter Conference on Applications of Computer Vision (WACV), 2024
<a href="https://openaccess.thecvf.com/content/WACV2024/html/Ma_MACP_Efficient_Model_Adaptation_for_Cooperative_Perception_WACV_2024_paper.html">
[Paper]</a>
</p>
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<h2><br>2023</h2>
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<span class="image fit style3"><img src="assets/images/teaser/cover_red_tiv.png" alt=""/></span>
</div>
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<h3>REDFormer: Radar Enlightens the Darkness of Camera Perception with Transformers</h3>
<p><strong><em>Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang;</em></strong>
IEEE Transactions on Intelligent Vehicles
<a href="https://ieeexplore.ieee.org/abstract/document/10310160">
[Paper]</a>
<a href="https://github.com/PurdueDigitalTwin/REDFormer">
[Code]</a>
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<h3>REDFormer: Radar Enlightens the Darkness of Camera Perception with Transformers</h3>
<p><strong><em>Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang;</em></strong>
IEEE Transactions on Intelligent Vehicles
<a href="https://ieeexplore.ieee.org/abstract/document/10310160">
[Paper]</a>
<a href="https://github.com/PurdueDigitalTwin/REDFormer">
[Code]</a>
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<h3>CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via
Spatial-Temporal Transformers</h3>
<p><strong><em>Yunsheng Ma, Wenqian Ye, Xu Cao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran
Wang;</em></strong>
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
<a href="https://arxiv.org/abs/2305.07840">
[Paper]</a>
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<h3>A survey of federated learning for connected and automated vehicles</h3>
<p><strong><em>Chellapandi, Vishnu Pandi, Liangqi Yuan, Stanislaw H. Zak, Ziran Wang;</em></strong>
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
<a href="https://arxiv.org/abs/2303.10677">
[Paper]</a>
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<h3>M<sup>2</sup>DAR: Multi-View Multi-Scale Driver Action Recognition With Vision Transformer</h3>
<p><strong><em>Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Zihao Li, Ziran
Wang;</em></strong>
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Workshops, 2023, pp. 5286-5293
<a href="https://openaccess.thecvf.com/content/CVPR2023W/AICity/html/Ma_M2DAR_Multi-View_Multi-Scale_Driver_Action_Recognition_With_Vision_Transformer_CVPRW_2023_paper.html">
[Paper]</a>
<a href="https://github.com/PurdueDigitalTwin/M2DAR">
[Code]</a>
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<h3>Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition</h3>
<p><strong><em>Liangqi Yuan, Yunsheng Ma, Lu Su, Ziran Wang;</em></strong>
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Workshops, 2023, pp. 5249-5258
<a href="https://openaccess.thecvf.com/content/CVPR2023W/AICity/html/Yuan_Peer-to-Peer_Federated_Continual_Learning_for_Naturalistic_Driving_Action_Recognition_CVPRW_2023_paper.html">
[Paper]</a>
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<span class="image fit style3"><img src="assets/images/teaser/cover_vit-dd.png" alt=""/></span>
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<h3>ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection</h3>
<p><strong><em>Yunsheng Ma, Ziran Wang;</em></strong>
IEEE Intelligent Vehicles Symposium (IV), 2023
<a href="https://arxiv.org/abs/2209.09178">
[Paper]</a>
<a href="https://github.com/PurdueDigitalTwin/ViT-DD">
[Code]</a>
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