Pattern Recognition of Big Nutritional Data in RCT. - Jin Wang; Hua Fang 001; Honggang Wang 001; Gin-Fei Olendzki; Chonggang Wang; Yunsheng Ma (BODYNETS, 2013)

Ship Block Logistics Simulation Based on Discrete Event Simulation. - Chong Wang; Yunsheng Ma; Zu-quan Xiang; Yong-qing Zhou (Int. J. Online Eng., 2015)

DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment. - Chang Liu 033; Yu Cao 002; Yan Luo 001; Guanling Chen; Vinod Vokkarane; Yunsheng Ma (ICOST, 2016)

CareNet: Building Regulation-Compliant Home-Based Healthcare Services with Software-Defined Infrastructure. - Peilong Li; Chen Xu; Yan Luo 001; Yu Cao 002; Jomol Mathew; Yunsheng Ma (CHASE, 2017)

CareNet: Building a Secure Software-defined Infrastructure for Home-based Healthcare. - Peilong Li; Chen Xu; Yan Luo 001; Yu Cao 002; Jomol Mathew; Yunsheng Ma (SDN-NFV@CODASPY, 2017)

A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure. - Chang Liu 033; Yu Cao 002; Yan Luo 001; Guanling Chen; Vinod Vokkarane; Yunsheng Ma; Songqing Chen; Peng Hou (IEEE Trans. Serv. Comput., 2018)

Monocular Image Based 3D Model Retrieval. - Wenhui Li 001; Anan Liu; Weizhi Nie; Dan Song 006; Yuqian Li; Weijie Wang; Shu Xiang; Heyu Zhou; Ngoc-Minh Bui; Yunchi Cen; Zenian Chen; Huy-Hoang Chung-Nguyen; et al. (3DOR@Eurographics, 2019)

An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. - Sicheng Zhao; Yunsheng Ma; Yang Gu; Jufeng Yang; Tengfei Xing; Pengfei Xu 013; Runbo Hu; Hua Chai; Kurt Keutzer (AAAI, 2020)

Bayesian variable selection for high dimensional predictors and self-reported outcomes. - Xiangdong Gu; Mahlet G. Tadesse; Andrea S. Foulkes; Yunsheng Ma; Raji Balasubramanian (BMC Medical Informatics Decis. Mak., 2020)

ChainSDI: A Software-Defined Infrastructure for Regulation-Compliant Home-Based Healthcare Services Secured by Blockchains. - Peilong Li; Chen Xu; Hao Jin; Chunyang Hu; Yan Luo 001; Yu Cao 002; Jomol Mathew; Yunsheng Ma (IEEE Syst. J., 2020)

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 (CVPR Workshops, 2023)

Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition. - Liangqi Yuan; Yunsheng Ma; Lu Su 001; Ziran Wang (CVPR Workshops, 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 (SEC, 2023)

Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion. - Can Cui; Yunsheng Ma; Juanwu Lu; Ziran Wang (ITSC, 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 (ITSC, 2023)

Mitigating Transformer Overconfidence via Lipschitz Regularization. - Wenqian Ye; Yunsheng Ma; Xu Cao; Kun Tang (UAI, 2023)

Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion. - Can Cui; Yunsheng Ma; Juanwu Lu; Ziran Wang (CoRR, 2023)

Large Language Models for Autonomous Driving: Real-World Experiments. - Can Cui; Zichong Yang; Yupeng Zhou; Yunsheng Ma; Juanwu Lu; Ziran Wang (CoRR, 2023)

RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling. - Zongqi Liu; Xueguan Song; Chao Zhang 017; Yunsheng Ma; Dacheng Tao (Eng. Appl. Artif. Intell., 2023)

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 002; Kaizhao Liang; Ziran Wang; James M. Rehg; Chao Zheng (CVPR, 2024)

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture. - Juanwu Lu; Can Cui; Yunsheng Ma; Aniket Bera; Ziran Wang (CVPR, 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 (CVPR, 2024)

Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models. - Yunsheng Ma; Xu Cao; Wenqian Ye; Can Cui; Kai Mei; Ziran Wang (EMNLP (Findings), 2024)

Personalized Autonomous Driving with Large Language Models: Field Experiments. - Can Cui; Zichong Yang; Yupeng Zhou; Yunsheng Ma; Juanwu Lu; Lingxi Li; Yaobin Chen; Jitesh H. Panchal; Ziran Wang (ITSC, 2024)

ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection. - Yunsheng Ma; Ziran Wang (IV, 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 (WACV (Workshops), 2024)

A Survey on Multimodal Large Language Models for Autonomous Driving. - Can Cui; Yunsheng Ma; Xu Cao; Wenqian Ye; Yang Zhou 019; Kaizhao Liang; Jintai Chen; Juanwu Lu; Zichong Yang; Kuei-Da Liao; Tianren Gao; Erlong Li; et al. (WACV (Workshops), 2024)

MACP: Efficient Model Adaptation for Cooperative Perception. - Yunsheng Ma; Juanwu Lu; Can Cui; Sicheng Zhao; Xu Cao; Wenqian Ye; Ziran Wang (WACV, 2024)

Spurious Correlations in Machine Learning: A Survey. - Wenqian Ye; Guangtao Zheng; Xu Cao; Yunsheng Ma; Xia Hu; 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)

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)

Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving. - Yunsheng Ma; Amr Abdelraouf; Rohit Gupta; Ziran Wang; Kyungtae Han (CoRR, 2024)

Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment. - Can Cui; Yunsheng Ma; Zichong Yang; Yupeng Zhou; Peiran Liu; Juanwu Lu; Lingxi Li; Yaobin Chen; Jitesh H. Panchal; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; et al. (CoRR, 2024)

MTA: Multimodal Task Alignment for BEV Perception and Captioning. - Yunsheng Ma; Burhaneddin Yaman; Xin Ye; Feng Tao; Abhirup Mallik; Ziran Wang; Liu Ren (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; et al. (CoRR, 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)

REDFormer: Radar Enlightens the Darkness of Camera Perception With Transformers. - Can Cui; Yunsheng Ma; Juanwu Lu; Ziran Wang (IEEE Trans. Intell. Veh., 2024)

Driver Digital Twin for Online Recognition of Distracted Driving Behaviors. - Yunsheng Ma; Runjia Du; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Ziran Wang (IEEE Trans. Intell. Veh., 2024)

Position: Prospective of Autonomous Driving - Multimodal LLMs, World Models, Embodied Intelligence, AI Alignment, and Mamba. - Yunsheng Ma; Wenqian Ye; Can Cui; Haiming Zhang 001; Shuo Xing; Fucai Ke; Jinhong Wang; Chenglin Miao; Jintai Chen; Hamid Rezatofighi; Zhen Li 026; Guangtao Zheng; et al. (WACV (Workshops), 2025)

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 (CoRR, 2025)

ALN-P3: Unified Language Alignment for Perception, Prediction, and Planning in Autonomous Driving. - Yunsheng Ma; Burhaneddin Yaman; Xin Ye; Mahmut Yurt; Jingru Luo; Abhirup Mallik; Ziran Wang; Liu Ren (CoRR, 2025)

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving. - Mahmut Yurt; Xin Ye; Yunsheng Ma; Jingru Luo; Abhirup Mallik; John Pauly; Burhaneddin Yaman; Liu Ren (CoRR, 2025)