Guoliang Dong

Orcid: 0000-0002-4146-1749

According to our database1, Guoliang Dong authored at least 19 papers between 2019 and 2026.

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Timeline

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Bibliography

2026
Prompting Frameworks for Large Language Models: A Survey.
ACM Comput. Surv., July, 2026

2025
A Comprehensive Study of OOP-Related Bugs in C++ Compilers.
IEEE Trans. Software Eng., June, 2025

Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
CodeR: Issue Resolving with Multi-Agent and Task Graphs.
CoRR, 2024

Evaluating and Mitigating Linguistic Discrimination in Large Language Models.
CoRR, 2024

Experimenting a New Programming Practice with LLMs.
CoRR, 2024

PTE: Axiomatic Semantics based Compiler Testing.
CoRR, 2024

2023
Solutions and Optimization of Complex Statistics for Big Data Tables.
Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture, 2023

2022
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.
IEEE Trans. Software Eng., 2022

Safety and energy-saving driving behaviour evaluation with driving feature constraint TOPSIS method.
Int. J. Comput. Sci. Math., 2022

Repairing Adversarial Texts Through Perturbation.
Proceedings of the Theoretical Aspects of Software Engineering, 2022

Application of Personnel Safety Management System in Network Security Guarantee.
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

2021
A novel fuzzy clustering algorithm based on rough set and inhibitive factor.
Concurr. Comput. Pract. Exp., 2021

Towards Repairing Neural Networks Correctly.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020
Towards Repairing Neural Networks Correctly.
CoRR, 2020

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

White-box fairness testing through adversarial sampling.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Analyzing Recurrent Neural Network by Probabilistic Abstraction.
CoRR, 2019

Adversarial sample detection for deep neural network through model mutation testing.
Proceedings of the 41st International Conference on Software Engineering, 2019


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