Chengjie Lu

According to our database, Chengjie Lu authored at least 24 papers between 2021 and 2026.

Collaborative distances:

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

2026

UAMTERS: Uncertainty-Aware Mutation Analysis for DL-enabled Robotic Software.

Chengjie Lu, Jiahui Wu, Shaukat Ali, Malaika Din Hashmi, Sebastian Mathias Thomle Mason, Francois Picard, Mikkel Labori Olsen, Thomas Peyrucain

CoRR, February, 2026

2025

Vision Language Model-based Testing of Industrial Autonomous Mobile Robots.

Jiahui Wu, Chengjie Lu, Aitor Arrieta, Shaukat Ali, Thomas Peyrucain

CoRR, August, 2025

Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots.

Pablo Valle, Chengjie Lu, Shaukat Ali, Aitor Arrieta

CoRR, July, 2025

Results of Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots.

Pablo Valle Entrena, Chengjie Lu, Shaukat Ali, Aitor Arrieta

Dataset, July, 2025

Foundation Models for Software Engineering of Cyber-Physical Systems: the Road Ahead.

Chengjie Lu, Pablo Valle, Jiahui Wu, Erblin Isaku, Hassan Sartaj, Aitor Arrieta, Shaukat Ali

CoRR, April, 2025

Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles.

Jiahui Wu, Chengjie Lu, Aitor Arrieta, Shaukat Ali

CoRR, February, 2025

Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software.

Chengjie Lu, Jiahui Wu, Shaukat Ali, Mikkel Labori Olsen

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2025

A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios.

Jiahui Wu, Chengjie Lu, Aitor Arrieta, Shaukat Ali

Proceedings of the 2nd IEEE/ACM International Conference on AI-powered Software, 2025

2024

EpiTESTER: Testing Autonomous Vehicles With Epigenetic Algorithm and Attention Mechanism.

Chengjie Lu, Shaukat Ali, Tao Yue

IEEE Trans. Software Eng., October, 2024

Web-aided data set expansion in deep learning: evaluating trainable activation functions in ResNet for improved image classification.

Zhiqiang Zhang, Xiaoming Li, Xinyi Xu, Chengjie Lu, Yihe Yang, Zhiyong Shi

Int. J. Web Inf. Syst., 2024

Integrating AI with medical industry chain data: enhancing clinical nutrition research through semantic knowledge graphs.

Deng Chen, Chengjie Lu, Hongpeng Bai, Kaijian Xia, Meilian Zheng

Frontiers Digit. Health, 2024

Assessing the Uncertainty and Robustness of Object Detection Models for Detecting Stickers on Laptops.

Chengjie Lu, Jiahui Wu, Shaukat Ali, Mikkel Labori Olsen

CoRR, 2024

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

Jiahui Wu, Chengjie Lu, Aitor Arrieta, Tao Yue, Shaukat Ali

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

2023

DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing.

Chengjie Lu, Tao Yue, Shaukat Ali

Dataset, March, 2023

Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions.

Chengjie Lu, Yize Shi, Huihui Zhang, Man Zhang, Tiexin Wang, Tao Yue, Shaukat Ali

IEEE Trans. Software Eng., 2023

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

Chengjie Lu, Tao Yue, Man Zhang, Shaukat Ali

CoRR, 2023

EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System.

Chengjie Lu, Qinghua Xu, Tao Yue, Shaukat Ali, Thomas Schwitalla, Jan Nygård

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.

Chengjie Lu, Tao Yue, Shaukat Ali

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning.

Chengjie Lu

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.

Chengjie Lu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022

DeepCollision: Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions.

Chengjie Lu, Yize Shi, Huihui Zhang, Man Zhang, Tiexin Wang, Tao Yue, Shaukat Ali

Dataset, January, 2022

Enhancing the realism of autonomous driving simulation with real-time co-simulation.

Qiwei Chen, Tiexin Wang, Chengjie Lu, Tao Yue, Shaukat Ali

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.

Chengjie Lu, Huihui Zhang, Tao Yue, Shaukat Ali

Proceedings of the Search-Based Software Engineering - 13th International Symposium, 2021

Restricted Natural Language and Model-based Adaptive Test Generation for Autonomous Driving.

Yize Shi, Chengjie Lu, Man Zhang, Huihui Zhang, Tao Yue, Shaukat Ali

Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021