Guoliang Dong

According to our database, Guoliang Dong authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Experimenting a New Programming Practice with LLMs.

Simiao Zhang, Jiaping Wang, Guoliang Dong, Jun Sun, Yueling Zhang, Geguang Pu

CoRR, 2024

PTE: Axiomatic Semantics based Compiler Testing.

Guoliang Dong, Jun Sun, Richard Schumi, Bo Wang, Xinyu Wang

CoRR, 2024

2023

Prompting Frameworks for Large Language Models: A Survey.

Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang

CoRR, 2023

2022

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.

Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong

IEEE Trans. Software Eng., 2022

Safety and energy-saving driving behaviour evaluation with driving feature constraint TOPSIS method.

Xinlei Wei, Yingji Liu, Wei Zhou, Haiying Xia, Xuan Dong, Guoliang Dong

Int. J. Comput. Sci. Math., 2022

Repairing Adversarial Texts Through Perturbation.

Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong

Proceedings of the Theoretical Aspects of Software Engineering, 2022

Application of Personnel Safety Management System in Network Security Guarantee.

Guofang Wu, Guoliang Dong, Shuquan Xu

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.

Lei-Yu Tang, Chenxi Wang, Shudong Wang, Guoliang Dong, Jiancong Fan

Concurr. Comput. Pract. Exp., 2021

Towards Repairing Neural Networks Correctly.

Guoliang Dong, Jun Sun, Xingen Wang, Xinyu Wang, Ting Dai

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020

Towards Repairing Neural Networks Correctly.

Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai

CoRR, 2020

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction.

Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

White-box fairness testing through adversarial sampling.

Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai

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.

Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong

CoRR, 2019

Adversarial sample detection for deep neural network through model mutation testing.

Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang

Proceedings of the 41st International Conference on Software Engineering, 2019