Zhengmin Jiang

Orcid: 0000-0002-6498-0234

According to our database1, Zhengmin Jiang authored at least 17 papers between 2020 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Metamorphic Testing for Vision-Based Autonomous Driving With Road Traffic Risk Exposure Extrapolation.
IEEE Trans. Intell. Transp. Syst., April, 2026

Geometry Reinforced Efficient Attention Tuning Equipped with Normals for Robust Stereo Matching.
CoRR, April, 2026

2025
A Comprehensive Survey on Driving Compliance Assessment Methodologies for Autonomous Vehicles.
IEEE Intell. Transp. Syst. Mag., 2025

Global Regulation and Excitation via Attention Tuning for Stereo Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Generation of Risky Scenarios for Testing Automated Driving Visual Perception Based on Causal Analysis.
IEEE Trans. Intell. Transp. Syst., November, 2024

Enhancing Autonomous Vehicle Safety Based on Operational Design Domain Definition, Monitoring, and Functional Degradation: A Case Study on Lane Keeping System.
IEEE Trans. Intell. Veh., October, 2024

Attention-Based Distributional Reinforcement Learning for Safe and Efficient Autonomous Driving.
IEEE Robotics Autom. Lett., September, 2024

Limited Information Aggregation for Collaborative Driving in Multi-Agent Autonomous Vehicles.
IEEE Robotics Autom. Lett., July, 2024

Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles.
IEEE Trans. Veh. Technol., June, 2024

Efficient Collaborative Multi-Agent Driving via Cross-Attention and Concise Communication.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Critical Test Cases Generalization for Autonomous Driving Object Detection Algorithms.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Efficient and Unbiased Safety Test for Autonomous Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Heterogeneous Information Fusion-Based Distributional Reinforcement Learning for Autonomous Driving.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023
Efficient and Unbiased Safety Test for Autonomous Driving Systems.
IEEE Trans. Intell. Veh., May, 2023

Mastering Cooperative Driving Strategy in Complex Scenarios using Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

Efficient-Enhanced Reinforcement Learning for Autonomous Driving in Urban Traffic Scenarios.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2020
Trade-off relations of \(l_1\)-norm coherence for multipartite systems.
Quantum Inf. Process., 2020


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