Aoshuang Ye

According to our database, Aoshuang Ye authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

DeFinder: Error-sensitive testing of deep neural networks via vulnerability interpretation.

Aoshuang Ye, Shilin Zhang, Benxiao Tang, Jianpeng Ke, Yiru Zhao, Tao Peng

J. Netw. Comput. Appl., 2025

CtrlFuzz: A controllable diffusion-based fuzz testing for deep neural networks via coverage-aware manifold guidance.

Aoshuang Ye, Shilin Zhang, Runze Yan, Jianpeng Ke, Fei Zhu, Benxiao Tang

Inf. Softw. Technol., 2025

Neuromorphic energy economics: toward biologically inspired and sustainable power market design.

Aoshuang Ye, Dong Xu, Yichao Li, Jiawei Du, Zhiwei Wu, Junjie Tang

Frontiers Comput. Neurosci., 2025

CAPRA: Context-Aware patch risk assessment for detecting immature vulnerability in open-source software.

Benxiao Tang, Shilin Zhang, Fei Zhu, Aoshuang Ye

Comput. Secur., 2025

VULDA: Source Code Vulnerability Detection via Local Dependency Context Aggregation on Vulnerability-Aware Code Mapping Graph.

Tao Peng, Ling Gui, Lijun Cai, Junwei Tang, Aoshuang Ye, Fei Zhu

Proceedings of the Information and Communications Security - 27th International Conference, 2025

2023

Towards a Robust Deep Neural Network Against Adversarial Texts: A Survey.

Wenqi Wang, Run Wang, Lina Wang, Zhibo Wang, Aoshuang Ye

IEEE Trans. Knowl. Data Eng., March, 2023

2022

<i>Ex</i>²: Monte Carlo Tree Search-based test inputs prioritization for fuzzing deep neural networks.

Aoshuang Ye, Lina Wang, Lei Zhao, Jianpeng Ke

Int. J. Intell. Syst., December, 2022

Better constraints of imperceptibility, better adversarial examples in the text.

Wenqi Wang, Lina Wang, Run Wang, Aoshuang Ye, Jianpeng Ke

Int. J. Intell. Syst., 2022

DANCe: Dynamic Adaptive Neuron Coverage for Fuzzing Deep Neural Networks.

Aoshuang Ye, Lina Wang, Lei Zhao, Jianpeng Ke

Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Robustness Verification of Neural Networks with General Activation Functions via Branching and Optimization.

Zhengwu Luo, Lina Wang, Run Wang, Kang Yang, Aoshuang Ye

Proceedings of the International Joint Conference on Neural Networks, 2022

Combating Multi-level Adversarial Text with Pruning based Adversarial Training.

Jianpeng Ke, Lina Wang, Aoshuang Ye, Jie Fu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

RapidFuzz: Accelerating fuzzing via Generative Adversarial Networks.

Aoshuang Ye, Lina Wang, Lei Zhao, Jianpeng Ke, Wenqi Wang, Qinliang Liu

Neurocomputing, 2021

An End-to-End Rumor Detection Model Based on Feature Aggregation.

Aoshuang Ye, Lina Wang, Run Wang, Wenqi Wang, Jianpeng Ke, Danlei Wang

Complex., 2021

Annealing Attention Networks for User Feature-Based Rumor Early Detection on Weibo.

Zhengwu Luo, Lina Wang, Wenqi Wang, Aoshuang Ye

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

MGAAttack: Toward More Query-efficient Black-box Attack by Microbial Genetic Algorithm.

Lina Wang, Kang Yang, Wenqi Wang, Run Wang, Aoshuang Ye

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

A survey on Adversarial Attacks and Defenses in Text.

Wenqi Wang, Benxiao Tang, Run Wang, Lina Wang, Aoshuang Ye

CoRR, 2019

A Game Informatical Analysis of Dark Chess by Game Refinement Theory.

Shuo Xiong, Aoshuang Ye, Hiroyuki Iida

Proceedings of the Science and Technologies for Smart Cities, 2019