Qinghua Xu

According to our database, Qinghua Xu authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

Mutation-Guided Unit Test Generation With a Large Language Model.

Guancheng Wang, Qinghua Xu, Lionel C. Briand, Kui Liu

IEEE Trans. Software Eng., May, 2026

LLM-based Mockless Unit Test Generation for Java.

Qinghua Xu, Guancheng Wang, Lionel C. Briand, Zhaoqiang Guo, Kui Liu

CoRR, May, 2026

Call-Chain-Aware LLM-Based Test Generation for Java Projects.

Guancheng Wang, Qinghua Xu, Lionel C. Briand, Zhaoqiang Guo, Kui Liu

CoRR, April, 2026

Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring.

John Ayotunde, Qinghua Xu, Guancheng Wang, Lionel C. Briand

CoRR, March, 2026

SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark.

Boxi Yu, Yang Cao, Yuzhong Zhang, Liting Lin, Junjielong Xu, Zhiqing Zhong, Qinghua Xu, Guancheng Wang, Jialun Cao, Shing-Chi Cheung, Pinjia He, Lionel C. Briand

CoRR, March, 2026

2025

On Mutation-Guided Unit Test Generation.

Guancheng Wang, Qinghua Xu, Lionel C. Briand, Kui Liu

CoRR, June, 2025

Hallucination to Consensus: Multi-Agent LLMs for End-to-End Test Generation with Accurate Oracles.

Qinghua Xu, Guancheng Wang, Lionel C. Briand, Kui Liu

CoRR, June, 2025

Balanced multi-view clustering with dynamic consistency exploration among multiple views.

Xiaodong Wang, Qinghua Xu, Fei Yan, Zhiqiang Zeng, Chaoqun Hong, Longfu Hong

Computing, May, 2025

Air pollution prediction by using long-short-term memory neural network.

Qinghua Xu, Jiankang Shen, Meng Gao

Int. J. Comput. Sci. Eng., 2025

Quantum Machine Learning-based Test Oracle for Autonomous Mobile Robots.

Xinyi Wang, Qinghua Xu, Paolo Arcaini, Shaukat Ali, Thomas Peyrucain

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024

Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-Physical Systems.

Qinghua Xu, Tao Yue, Shaukat Ali, Maite Arratibel

IEEE Trans. Software Eng., June, 2024

Anomaly Detection on Unstable Logs with GPT Models.

Fatemeh Hadadi, Qinghua Xu, Domenico Bianculli, Lionel C. Briand

CoRR, 2024

2023

Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems.

Qinghua Xu, Shaukat Ali, Tao Yue

ACM Trans. Softw. Eng. Methodol., September, 2023

An integrated approach implementing sliding window and DTW distance for time series forecasting tasks.

Zhifu Tao, Qinghua Xu, Xi Liu, Jinpei Liu

Appl. Intell., September, 2023

Selective enriching of trionic emission in a WS2-ZnO hybrid through type-II band alignment.

Jin Feng Leong, Kim Yong Lim, Xiao Wu, Qinghua Xu, Chorng Haur Sow, Eng Tuan Poh

Sci. China Inf. Sci., June, 2023

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation.

Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao

CoRR, 2023

Knowledge Distillation-Empowered Digital Twin for Anomaly Detection.

Qinghua Xu, Shaukat Ali, Tao Yue, Zaimovic Nedim, Inderjeet Singh

CoRR, 2023

KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection.

Qinghua Xu, Shaukat Ali, Tao Yue, Zaimovic Nedim, Inderjeet Singh

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

2022

Uncertainty-aware transfer learning to evolve digital twins for industrial elevators.

Qinghua Xu, Shaukat Ali, Tao Yue, Maite Arratibel

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Non-Contact Extensometer Deformation Detection via Deep Learning and Edge Feature Analysis.

Qinghua Xu, Xiaodong Wang, Fei Yan, Zhiqiang Zeng

Proceedings of the Design Studies and Intelligence Engineering, 2022

2021

Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data.

Xiaodong Wang, Pengtao Wu, Qinghua Xu, Zhiqiang Zeng, Yong Xie

Knowl. Based Syst., 2021

Digital Twin-based Anomaly Detection in Cyber-physical Systems.

Qinghua Xu, Shaukat Ali, Tao Yue

Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

2020

Semantic and Morphological Information Guided Chinese Text Classification.

Jiayu Song, Qinghua Xu, Wei Liu, Yueran Zu, Mengdong Chen

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

2019

Design and Practical Verification of a Common DC Bus Power System in a Research Vessel.

Yunxiang Wu, Qinghua Xu, Shiyi Shao, Hongpin Zhao, Guomei Chang, Yang Liu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

An Encoding Strategy Based Word-Character LSTM for Chinese NER.

Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, Yueran Zu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019