Can Cui

Orcid: 0009-0009-7082-3444

Affiliations:
  • Purdue University, Lyles School of Civil Engineering, West Lafayette, IN, USA


According to our database1, Can Cui authored at least 28 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ICR-Drive: Instruction Counterfactual Robustness for End-to-End Language-Driven Autonomous Driving.
CoRR, April, 2026

Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion.
CoRR, February, 2026

From Passive Tool to Smart Teammate: Human-Centered Autonomous Driving [ITS Students].
IEEE Intell. Transp. Syst. Mag., 2026

2025
FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling.
CoRR, November, 2025

SIMSplat: Predictive Driving Scene Editing with Language-aligned 4D Gaussian Splatting.
CoRR, October, 2025

ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving.
CoRR, August, 2025

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving.
CoRR, June, 2025

Position: Prospective of Autonomous Driving - Multimodal LLMs, World Models, Embodied Intelligence, AI Alignment, and Mamba.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Poster: Connected Vehicle Surveillance.
Proceedings of the Twenty-sixth International Symposium on Theory, 2025

On-Board Vision-Language Models (VLMs) for Personalized Motion Control of Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation.
CoRR, 2024

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

Personalized Autonomous Driving with Large Language Models: Field Experiments.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 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
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

Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.
Proceedings of the 26th 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


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