Yunsheng Ma

Orcid: 0000-0003-3933-2574

According to our database1, Yunsheng Ma authored at least 35 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Driver Digital Twin for Online Recognition of Distracted Driving Behaviors.
IEEE Trans. Intell. Veh., February, 2024

REDFormer: Radar Enlightens the Darkness of Camera Perception With Transformers.
IEEE Trans. Intell. Veh., January, 2024

Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles.
IEEE Intell. Transp. Syst. Mag., 2024

Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment.
CoRR, 2024

Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving.
CoRR, 2024

MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs.
CoRR, 2024

What is the Visual Cognition Gap between Humans and Multimodal LLMs?
CoRR, 2024

Spurious Correlations in Machine Learning: A Survey.
CoRR, 2024

MACP: Efficient Model Adaptation for Cooperative Perception.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Survey on Multimodal Large Language Models for Autonomous Driving.
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.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling.
Eng. Appl. Artif. Intell., April, 2023

Large Language Models for Autonomous Driving: Real-World Experiments.
CoRR, 2023

Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.
CoRR, 2023

Mitigating Transformer Overconfidence via Lipschitz Regularization.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

M<sup>2</sup>DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020
ChainSDI: A Software-Defined Infrastructure for Regulation-Compliant Home-Based Healthcare Services Secured by Blockchains.
IEEE Syst. J., 2020

Bayesian variable selection for high dimensional predictors and self-reported outcomes.
BMC Medical Informatics Decis. Mak., 2020

An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

2018
A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure.
IEEE Trans. Serv. Comput., 2018

2017
CareNet: Building a Secure Software-defined Infrastructure for Home-based Healthcare.
Proceedings of the ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization, 2017

CareNet: Building Regulation-Compliant Home-Based Healthcare Services with Software-Defined Infrastructure.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

2016
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment.
Proceedings of the Inclusive Smart Cities and Digital Health, 2016

2015
Ship Block Logistics Simulation Based on Discrete Event Simulation.
Int. J. Online Eng., 2015

2013
Pattern Recognition of Big Nutritional Data in RCT.
Proceedings of the 8th International Conference on Body Area Networks, 2013


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