Chengjie Lu

Orcid: 0000-0002-5818-7547

According to our database1, Chengjie Lu authored at least 11 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models.
CoRR, 2024

2023
Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions.
IEEE Trans. Software Eng., 2023

EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism.
CoRR, 2023

DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data.
CoRR, 2023

EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Evolutionary Computation and Reinforcement Learning for Cyber-physical System Design.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
Enhancing the realism of autonomous driving simulation with real-time co-simulation.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

2021
Search-Based Selection and Prioritization of Test Scenarios for Autonomous Driving Systems.
Proceedings of the Search-Based Software Engineering - 13th International Symposium, 2021

Restricted Natural Language and Model-based Adaptive Test Generation for Autonomous Driving.
Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021


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