Guoliang Dong

22 papers A* 4C 1Misc 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Comprehensive Study of OOP-Related Bugs in C++ Compilers.
IEEE Trans. Software Eng.
Bo Wang, Chong Chen, Junjie Chen, Bowen Xu, Chen Ye, Youfang Lin, Guoliang Dong, Jun Sun
2025 A* conf
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity.
IJCAI
Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang
2024 J jnl
CodeR: Issue Resolving with Multi-Agent and Task Graphs.
CoRR
Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, Guangtai Liang, Yuchi Ma, Pan Bian, Tao Xie, Qianxiang Wang
2024 J jnl
Evaluating and Mitigating Linguistic Discrimination in Large Language Models.
CoRR
Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang
2024 J jnl
Experimenting a New Programming Practice with LLMs.
CoRR
Simiao Zhang, Jiaping Wang, Guoliang Dong, Jun Sun, Yueling Zhang, Geguang Pu
2024 J jnl
PTE: Axiomatic Semantics based Compiler Testing.
CoRR
Guoliang Dong, Jun Sun, Richard Schumi, Bo Wang, Xinyu Wang
2023 J jnl
Prompting Frameworks for Large Language Models: A Survey.
CoRR
Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang
2023 — conf
Solutions and Optimization of Complex Statistics for Big Data Tables.
ICEITSA
Hao Li, Huimin Li, Shangbin Song, Guoliang Dong, Wei Liu, Chen Liang
2022 — conf
Application of Personnel Safety Management System in Network Security Guarantee.
ICITEE
Guofang Wu, Guoliang Dong, Shuquan Xu
2022 J jnl
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.
IEEE Trans. Software Eng.
Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong
2022 Misc conf
Repairing Adversarial Texts Through Perturbation.
TASE
Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong
2022 J jnl
Repairing Adversarial Texts through Perturbation.
CoRR
Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong
2022 J jnl
Safety and energy-saving driving behaviour evaluation with driving feature constraint TOPSIS method.
Int. J. Comput. Sci. Math.
Xinlei Wei, Yingji Liu, Wei Zhou, Haiying Xia, Xuan Dong, Guoliang Dong
2021 J jnl
A novel fuzzy clustering algorithm based on rough set and inhibitive factor.
Concurr. Comput. Pract. Exp.
Lei-Yu Tang, Chenxi Wang, Shudong Wang, Guoliang Dong, Jiancong Fan
2021 J jnl
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling.
CoRR
Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong
2021 C conf
Towards Repairing Neural Networks Correctly.
QRS
Guoliang Dong, Jun Sun, Xingen Wang, Xinyu Wang, Ting Dai
2020 A* conf
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction.
ASE
Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang
2020 J jnl
Towards Repairing Neural Networks Correctly.
CoRR
Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai
2020 A* conf
White-box fairness testing through adversarial sampling.
ICSE
Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai
2019 A* conf
Adversarial sample detection for deep neural network through model mutation testing.
ICSE
Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang
2019 J jnl
Analyzing Recurrent Neural Network by Probabilistic Abstraction.
CoRR
Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong
2018 J jnl
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing.
CoRR
Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang