Adversarial sample detection for deep neural network through model mutation testing. - Jingyi Wang 004; Guoliang Dong; Jun Sun 001; Xinyu Wang 001; Peixin Zhang 001 (ICSE, 2019)

Analyzing Recurrent Neural Network by Probabilistic Abstraction. - Guoliang Dong; Jingyi Wang 004; Jun Sun 001; Yang Zhang; Xinyu Wang 001; Ting Dai; Jin Song Dong (CoRR, 2019)

White-box fairness testing through adversarial sampling. - Peixin Zhang 001; Jingyi Wang 004; Jun Sun 001; Guoliang Dong; Xinyu Wang 001; Xingen Wang; Jin Song Dong 001; Ting Dai (ICSE, 2020)

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction. - Guoliang Dong; Jingyi Wang 004; Jun Sun 001; Yang Zhang; Xinyu Wang 001; Ting Dai; Jin Song Dong; Xingen Wang (ASE, 2020)

Towards Repairing Neural Networks Correctly. - Guoliang Dong; Jun Sun 001; Jingyi Wang 004; Xinyu Wang 001; Ting Dai (CoRR, 2020)

Towards Repairing Neural Networks Correctly. - Guoliang Dong; Jun Sun 001; Xingen Wang; Xinyu Wang 001; Ting Dai (QRS, 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)

Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling. - Peixin Zhang 001; Jingyi Wang 004; Jun Sun 001; Xinyu Wang 001; Guoliang Dong; Xingen Wang; Ting Dai; Jin Song Dong (CoRR, 2021)

Application of Personnel Safety Management System in Network Security Guarantee. - Guofang Wu; Guoliang Dong; Shuquan Xu (ICITEE, 2022)

Repairing Adversarial Texts Through Perturbation. - Guoliang Dong; Jingyi Wang 004; Jun Sun 001; Sudipta Chattopadhyay 001; Xinyu Wang 001; Ting Dai; Jie Shi; Jin Song Dong (TASE, 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)

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling. - Peixin Zhang 001; Jingyi Wang 004; Jun Sun 001; Xinyu Wang 001; Guoliang Dong; Xingen Wang; Ting Dai; Jin Song Dong 001 (IEEE Trans. Software Eng., 2022)

Solutions and Optimization of Complex Statistics for Big Data Tables. - Hao Li; Huimin Li; Shangbin Song; Guoliang Dong; Wei Liu; Chen Liang (ICEITSA, 2023)

Prompting Frameworks for Large Language Models: A Survey. - Xiaoxia Liu; Jingyi Wang 004; Jun Sun 001; Xiaohan Yuan; Guoliang Dong; Peng Di; Wenhai Wang; Dongxia Wang 002 (CoRR, 2023)

PTE: Axiomatic Semantics based Compiler Testing. - Guoliang Dong; Jun Sun 001; Richard Schumi; Bo Wang 050; Xinyu Wang 001 (CoRR, 2024)

Experimenting a New Programming Practice with LLMs. - Simiao Zhang; Jiaping Wang; Guoliang Dong; Jun Sun 001; Yueling Zhang; Geguang Pu (CoRR, 2024)

Evaluating and Mitigating Linguistic Discrimination in Large Language Models. - Guoliang Dong; Haoyu Wang 017; Jun Sun 001; Xinyu Wang 001 (CoRR, 2024)

CodeR: Issue Resolving with Multi-Agent and Task Graphs. - Dong Chen 015; Shaoxin Lin; Muhan Zeng; Daoguang Zan; Jian-Gang Wang; Anton Cheshkov; Jun Sun 001; Hao Yu; Guoliang Dong; Artem Aliev; Jie Wang; Xiao Cheng; et al. (CoRR, 2024)

A Comprehensive Study of OOP-Related Bugs in C++ Compilers. - Bo Wang 050; Chong Chen; Junjie Chen 003; Bowen Xu; Chen Ye; Youfang Lin; Guoliang Dong; Jun Sun 001 (IEEE Trans. Software Eng., 2025)