Restricted Natural Language and Model-based Adaptive Test Generation for Autonomous Driving. - Yize Shi; Chengjie Lu; Man Zhang 001; Huihui Zhang 003; Tao Yue 002; Shaukat Ali 001 (MoDELS, 2021)

Search-Based Selection and Prioritization of Test Scenarios for Autonomous Driving Systems. - Chengjie Lu; Huihui Zhang 003; Tao Yue 002; Shaukat Ali 001 (SSBSE, 2021)

Enhancing the realism of autonomous driving simulation with real-time co-simulation. - Qiwei Chen; Tiexin Wang; Chengjie Lu; Tao Yue 002; Shaukat Ali 001 (MoDELS (Companion), 2022)

DeepCollision: Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions. - Chengjie Lu; Yize Shi; Huihui Zhang 003; Man Zhang 001; Tiexin Wang; Tao Yue 002; Shaukat Ali 001 (Zenodo, 2022)

Evolutionary Computation and Reinforcement Learning for Cyber-physical System Design. - Chengjie Lu (ICSE Companion, 2023)

Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning. - Chengjie Lu (ICSE Companion, 2023)

DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing. - Chengjie Lu; Tao Yue 002; Shaukat Ali 001 (MSR, 2023)

EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System. - Chengjie Lu; Qinghua Xu; Tao Yue 002; Shaukat Ali 001; Thomas Schwitalla; Jan Nygård (ESEC/SIGSOFT FSE, 2023)

DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data. - Chengjie Lu; Tao Yue 002; Man Zhang 001; Shaukat Ali 001 (CoRR, 2023)

Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions. - Chengjie Lu; Yize Shi; Huihui Zhang 003; Man Zhang 001; Tiexin Wang; Tao Yue 002; Shaukat Ali 001 (IEEE Trans. Software Eng., 2023)

DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing. - Chengjie Lu; Tao Yue 002; Shaukat Ali 001 (Zenodo, 2023)

Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models. - Jiahui Wu; Chengjie Lu; Aitor Arrieta; Tao Yue 002; Shaukat Ali 001 (FORGE, 2024)

Assessing the Uncertainty and Robustness of Object Detection Models for Detecting Stickers on Laptops. - Chengjie Lu; Jiahui Wu; Shaukat Ali 001; Mikkel Labori Olsen (CoRR, 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)

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)

EpiTESTER: Testing Autonomous Vehicles With Epigenetic Algorithm and Attention Mechanism. - Chengjie Lu; Shaukat Ali 001; Tao Yue 002 (IEEE Trans. Software Eng., 2024)

Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software. - Chengjie Lu; Jiahui Wu; Shaukat Ali 001; Mikkel Labori Olsen (ICST, 2025)

Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles. - Jiahui Wu; Chengjie Lu; Aitor Arrieta; Shaukat Ali 001 (CoRR, 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 001 (CoRR, 2025)

Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots. - Pablo Valle; Chengjie Lu; Shaukat Ali 001; Aitor Arrieta (CoRR, 2025)