Chengjie Lu
PhD student
- Department
- Engineering Complex Software Systems
- Organisation
- Simula Research Laboratory
- chengjielu@simula.no
Publications
2024
Journal Articles
C. Lu, S. Ali and T. Yue
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism
IEEE Transactions on Software Engineering
Proceedings, refereed
J. Wu, C. Lu, A. Arrieta, T. Yue and S. Ali
Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
AI Foundation Models and Software Engineering (FORGE 24)
Technical reports
C. Lu, J. Wu, S. Ali and M. L. Olsen
Assessing the Uncertainty and Robustness of Object Detection Models for Detecting Stickers on Laptops
C. Lu
ICSE: G: Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning
ACM Student Research Competition Grand Finals
Talks, contributed
C. Lu
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
Symposium on Search-Based Software Engineering 2024
2023
Journal Articles
C. Lu, T. Yue, M. Zhang and S. Ali
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
ACM Transactions on Software Engineering and Methodology
Proceedings, refereed
C. Lu, Q. Xu, T. Yue, S. Ali, T. Schwitalla and J. Nygård
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23)
C. Lu
Evolutionary Computation and Reinforcement Learning for Cyber-physical System Design
2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
C. Lu
Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning
2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
C. Lu, T. Yue and S. Ali
DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing
2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)
Talks, contributed
C. Lu
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23)
C. Lu
Supporting the Evolution of Autonomous Driving Systems
Simula Research Laboratory, Oslo, Norway
C. Lu
Evolutionary Computation and Reinforcement Learning for Cyber-physical System Design
2023 IEEE/ACM 45th International Conference on Software Engineering
C. Lu
Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning
2023 IEEE/ACM 45th International Conference on Software Engineering
C. Lu
DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing
2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)
C. Lu
Learning configurations of operating environment of autonomous vehicles to maximize their collisions
2023 IEEE/ACM 45th International Conference on Software Engineering
2022
Journal Articles
C. Lu, Y. Shi, H. Zhang, M. Zhang, T. Wang, T. Yue and S. Ali
Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions
IEEE Transactions on Software Engineering
Proceedings, refereed
Q. Chen, T. Wang, C. Lu, T. Yue and S. Ali
Enhancing the realism of autonomous driving simulation with real-time co-simulation
4th International Workshop on Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS'22)
Talks, invited
C. Lu
Learning Configurations of OperatingEnvironment of Autonomous Vehicles toMaximize their Collisions
NASA Jet Propulsion Laboratory (JPL)
Talks, contributed
C. Lu
Generating and Optimizing of Test Scenarios for Autonomous Driving Systems
Simula Research Laboratory, Norway
2021
Proceedings, refereed
C. Lu, H. Zhang, T. Yue and S. Ali
Search-based Selection and Prioritization of Test Scenarios for Autonomous Driving Systems
13th Symposium on Search-Based Software Engineering
Y. Shi, C. Lu, M. Zhang, H. Zhang, T. Yue and S. Ali
Restricted Natural Language and Model-based Adaptive Test Generation for Autonomous Driving
ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)
Talks, contributed
C. Lu
Search-based Selection and Prioritization of Test Scenarios for Autonomous Driving Systems
13th Symposium on Search-Based Software Engineering