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2020 – today
- 2024
[i10]Guoliang Dong, Jun Sun, Richard Schumi, Bo Wang, Xinyu Wang:
PTE: Axiomatic Semantics based Compiler Testing. CoRR abs/2401.01036 (2024)- [i9]Simiao Zhang, Jiaping Wang, Guoliang Dong, Jun Sun, Yueling Zhang, Geguang Pu:
Experimenting a New Programming Practice with LLMs. CoRR abs/2401.01062 (2024) - [i8]Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang:
Evaluating and Mitigating Linguistic Discrimination in Large Language Models. CoRR abs/2404.18534 (2024) - [i7]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:
CodeR: Issue Resolving with Multi-Agent and Task Graphs. CoRR abs/2406.01304 (2024) - 2023
- [c7]Hao Li
, Huimin Li, Shangbin Song, Guoliang Dong, Wei Liu, Chen Liang:
Solutions and Optimization of Complex Statistics for Big Data Tables. ICEITSA 2023: 210-215 - [i6]Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang:
Prompting Frameworks for Large Language Models: A Survey. CoRR abs/2311.12785 (2023) - 2022
- [j3]Xinlei Wei, Yingji Liu, Wei Zhou, Haiying Xia, Xuan Dong, Guoliang Dong:
Safety and energy-saving driving behaviour evaluation with driving feature constraint TOPSIS method. Int. J. Comput. Sci. Math. 16(1): 59-70 (2022) - [j2]Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong:
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling. IEEE Trans. Software Eng. 48(9): 3593-3612 (2022) - [c6]Guofang Wu, Guoliang Dong, Shuquan Xu:
Application of Personnel Safety Management System in Network Security Guarantee. ICITEE 2022: 714-718 - [c5]Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong:
Repairing Adversarial Texts Through Perturbation. TASE 2022: 29-48 - [i5]Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong:
Repairing Adversarial Texts through Perturbation. CoRR abs/2201.02504 (2022) - 2021
- [j1]Lei-Yu Tang, Chenxi Wang, Shudong Wang, Guoliang Dong, Jiancong Fan:
A novel fuzzy clustering algorithm based on rough set and inhibitive factor. Concurr. Comput. Pract. Exp. 33(6) (2021) - [c4]Guoliang Dong, Jun Sun, Xingen Wang, Xinyu Wang, Ting Dai:
Towards Repairing Neural Networks Correctly. QRS 2021: 714-725 - [i4]Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong:
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling. CoRR abs/2107.08176 (2021) - 2020
- [c3]Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai:
White-box fairness testing through adversarial sampling. ICSE 2020: 949-960 - [c2]Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang:
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction. ASE 2020: 499-510 - [i3]Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai:
Towards Repairing Neural Networks Correctly. CoRR abs/2012.01872 (2020)
2010 – 2019
- 2019
- [c1]Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang:
Adversarial sample detection for deep neural network through model mutation testing. ICSE 2019: 1245-1256 - [i2]Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong:
Analyzing Recurrent Neural Network by Probabilistic Abstraction. CoRR abs/1909.10023 (2019) - 2018
- [i1]Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang:
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing. CoRR abs/1812.05793 (2018)
Coauthor Index
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