Mingxing Peng

According to our database, Mingxing Peng authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving.

Ruoyu Yao, Ruiguo Zhong, Pei Liu, Mingxing Peng, Rui Yang, Jun Ma

CoRR, May, 2026

Language-Grounded Multi-Agent Planning for Personalized and Fair Participatory Urban Sensing.

Xusen Guo, Mingxing Peng, Hongliang Lu, Hai Yang, Jun Ma, Yuxuan Liang

CoRR, March, 2026

Coordinated Pandemic Control with Large Language Model Agents as Policymaking Assistants.

Ziyi Shi, Xusen Guo, Hongliang Lu, Mingxing Peng, Haotian Wang, Zheng Zhu, Zhenning Li, Yuxuan Liang, Xinhu Zheng, Hai Yang

CoRR, January, 2026

AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing.

Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang

Proceedings of the ACM Web Conference 2026, 2026

2025

Diffusion Models for Intelligent Transportation Systems: A Survey.

Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hui Zhong, Meixin Zhu, Hai Yang

IEEE Trans. Intell. Transp. Syst., December, 2025

nuPlan-R: A Closed-Loop Planning Benchmark for Autonomous Driving via Reactive Multi-Agent Simulation.

Mingxing Peng, Ruoyu Yao, Xusen Guo, Jun Ma

CoRR, November, 2025

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios.

Mingxing Peng, Yuting Xie, Xusen Guo, Ruoyu Yao, Hai Yang, Jun Ma

CoRR, May, 2025

Safety-Critical Traffic Simulation with Guided Latent Diffusion Model.

Mingxing Peng, Ruoyu Yao, Xusen Guo, Yuting Xie, Xianda Chen, Jun Ma

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024

Automating Traffic Model Enhancement with AI Research Agent.

Xusen Guo, Xinxi Yang, Mingxing Peng, Hongliang Lu, Meixin Zhu, Hai Yang

CoRR, 2024

Diffusion Models for Intelligent Transportation Systems: A Survey.

Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hongliang Lu, Hui Zhong, Di Chen, Meixin Zhu, Hai Yang

CoRR, 2024

GenFollower: Enhancing Car-Following Prediction with Large Language Models.

Xianda Chen, Mingxing Peng, PakHin Tiu, Yuanfei Wu, Junjie Chen, Meixin Zhu, Xinhu Zheng

CoRR, 2024

Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models.

Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Hao Yang, Meixin Zhu

CoRR, 2024

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.

Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao Yang, Xuesong Wang, Yinhai Wang

CoRR, 2024

2020

Imitative Reinforcement Learning Fusing Vision and Pure Pursuit for Self-driving.

Mingxing Peng, Zhihao Gong, Chen Sun, Long Chen, Dongpu Cao

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020