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Chengjie Lu

Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions
2022 · Chengjie Lu, Yize Shi, et al. · IEEE Transactions on Software Engineering · 83
Search-Based Selection and Prioritization of Test Scenarios for Autonomous Driving Systems
2021 · Chengjie Lu, Huihui Zhang, et al. · Lecture notes in computer science · 33
DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing
2023 · Chengjie Lu, Tao Yue, et al. · International Conference on Mining Software Repositories (MSR) · 21
EpiTESTER: Testing Autonomous Vehicles With Epigenetic Algorithm and Attention Mechanism
2024 · Chengjie Lu, Shaukat Ali, et al. · IEEE Transactions on Software Engineering · 17
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Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
2024 · Jiahui Wu, Chengjie Lu, et al. · IEEE/ACM International Conference on AI Foundation Models and Software Engineering (FORGE) · 16
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Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning
2023 · Chengjie Lu · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 15
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
2023 · Chengjie Lu, Qinghua Xu, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 12
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DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
2023 · Lu, Chengjie, Yue, Tao, et al. · arXiv (Cornell University) · 10
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Restricted Natural Language and Model-based Adaptive Test Generation for Autonomous Driving
2021 · Yize Shi, Chengjie Lu, et al. · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) · 7
Foundation Models for Software Engineering of Cyber-Physical Systems: The Road Ahead
2026 · Chengjie Lu, Pablo Valle, et al. · ACM Transactions on Software Engineering and Methodology · 5
Enhancing the realism of autonomous driving simulation with real-time co-simulation
2022 · Qiwei Chen, Tiexin Wang, et al. · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) · 5
Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software
2025 · Chengjie Lu, Jiahui Wu, et al. · IEEE International Conference on Software Testing, Verification and Validation (ICST) · 3
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Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study
2025 · Wu, Jiahui, Lu, Chengjie, et al. · arXiv (Cornell University) · 3
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DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing
2023 · Lu, Chengjie, Yue, Tao, et al. · Zenodo (CERN European Organization for Nuclear Research) · 2
Vision Language Model-based Testing of Industrial Autonomous Mobile Robots
2026 · Jiahui Wu, Chengjie Lu, et al. · IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) · 1
UAMTERS: Uncertainty-Aware Mutation Analysis for DL-enabled Robotic Software
2026 · Lu, Chengjie, Wu, Jiahui, et al. · arXiv (Cornell University) · 1
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A Knowledge-Enhanced Multimodal Framework with Genomic Reconstruction for DLBCL Drug Response Prediction
2026 · Xiaolu Xu, Yulong Li, et al. · Computational and Structural Biotechnology Journal
A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios
2025 · Jiahui Wu, Chengjie Lu, et al. · ACM International Conference on AI-Powered Software (AIware)
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A Dual-branch Chinese Spelling Correction Method Based on Multi-modal Feature Fusion
2025 · Yingli Wang, Geng Li, et al. · International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)
A two-stage Chinese grammar error correction method based on detection and generation
2025 · Yingli Wang, Geng Li, et al.
Multi-factor Coupling Analysis of Short-Gap SF6/N2 Gas Discharge Process
2025 · Yingli Wang, Qiming Lu, et al. · International Conference on New Energy System and Power Engineering (NESP)
Evolutionary Computation and Reinforcement Learning for Cyber-physical System Design
2023 · Chengjie Lu · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
DeepCollision: Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions
2022 · Lu, Chengjie, Shi, Yize, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 23
Citation count: 234
H-index: 8
I10-index: 8
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