Jingwei Ge

Orcid: 0000-0003-2309-9739

According to our database1, Jingwei Ge authored at least 14 papers between 2024 and 2025.

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

Timeline

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Bibliography

2025
Rethinking Off-Road ADAS: A Perspective on the Generative Co-Pilot Paradigm.
IEEE CAA J. Autom. Sinica, October, 2025

Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications.
CoRR, April, 2025

Boosting the Training of Deep Reinforcement Learning Traffic Control by Using the World Model.
IEEE Intell. Transp. Syst. Mag., 2025

2024
Life-Long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as a Continuous Optimization Process.
IEEE Trans. Intell. Veh., December, 2024

Predictive Vehicle Stability Assessment Using Lyapunov Exponent Under Extreme Conditions.
IEEE Trans. Intell. Transp. Syst., December, 2024

LLMScenario: Large Language Model Driven Scenario Generation.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration.
IEEE Trans. Intell. Veh., August, 2024

Task-Driven Controllable Scenario Generation Framework Based on AOG.
IEEE Trans. Intell. Transp. Syst., June, 2024

LLM-Based Operating Systems for Automated Vehicles: A New Perspective.
IEEE Trans. Intell. Veh., April, 2024

Dynamic Testing for Autonomous Vehicles Using Random Quasi Monte Carlo.
IEEE Trans. Intell. Veh., March, 2024

A Bi-Level Network-Wide Cooperative Driving Approach Including Deep Reinforcement Learning-Based Routing.
IEEE Trans. Intell. Veh., January, 2024

Interaction-Based Driving Scenario Classification and Labeling.
CoRR, 2024

LogisticsVISTA: 3D Terminal Delivery Services With UAVs, UGVs and USVs Based on Foundation Models and Scenarios Engineering.
Proceedings of the IEEE International Conference on Service Operations and Logistics, 2024

An Enhanced MILP-Based Verifier for Adversary Robustness of Neural Networks.
Proceedings of the Neural Information Processing - 31st International Conference, 2024


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