Ruoxi Qin

According to our database, Ruoxi Qin authored at least 17 papers between 2016 and 2023.

Collaborative distances:

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

2023

Adversarial defense method based on ensemble learning for modulation signal intelligent recognition.

Chao Han, Ruoxi Qin, Linyuan Wang, Weijia Cui, Jian Chen, Bin Yan

Wirel. Networks, October, 2023

Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model.

Ruoxi Qin, Linyuan Wang, Xuehui Du, Pengfei Xie, Xingyuan Chen, Bin Yan

Frontiers Neurorobotics, June, 2023

An adversarial transferability metric based on SVD of Jacobians to disentangle the correlation with robustness.

Ruoxi Qin, Linyuan Wang, Xuehui Du, Shuxiao Ma, Xingyuan Chen, Bin Yan

Appl. Intell., May, 2023

Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness.

Ruoxi Qin, Linyuan Wang, Xuehui Du, Xingyuan Chen, Bin Yan

CoRR, 2023

2022

Cloud Intrusion Detection Method Based on Stacked Contractive Auto-Encoder and Support Vector Machine.

Wenjuan Wang, Xuehui Du, Dibin Shan, Ruoxi Qin, Na Wang

IEEE Trans. Cloud Comput., 2022

Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks.

Qi Peng, Wenlin Liu, Ruoxi Qin, Libin Hou, Bin Yan, Linyuan Wang

CoRR, 2022

2021

ShapeEditor: A StyleGAN Encoder for Stable and High Fidelity Face Swapping.

Shuai Yang, Kai Qiao, Ruoxi Qin, Pengfei Xie, Shuhao Shi, Ningning Liang, Linyuan Wang, Jian Chen, Guoen Hu, Bin Yan

Frontiers Neurorobotics, 2021

Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout.

Pengfei Xie, Linyuan Wang, Ruoxi Qin, Kai Qiao, Shuhao Shi, Guoen Hu, Bin Yan

CoRR, 2021

Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model.

Ruoxi Qin, Linyuan Wang, Xingyuan Chen, Xuehui Du, Bin Yan

CoRR, 2021

2020

Cycle-Consistent Adversarial GAN: The Integration of Adversarial Attack and Defense.

Lingyun Jiang, Kai Qiao, Ruoxi Qin, Linyuan Wang, Wanting Yu, Jian Chen, Haibing Bu, Bin Yan

Secur. Commun. Networks, 2020

Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism.

Ruoxi Qin, Zhenzhen Wang, Lingyun Jiang, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi, Bin Yan

Complex., 2020

Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations.

Ruoxi Qin, Huike Zhang, Jiang-Lin Qin, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi, Bin Yan

Comput. Math. Methods Medicine, 2020

Multi-Type Interdependent Feature Analysis Based on Hybrid Neural Networks for Computer-Aided Diagnosis of Epidermal Growth Factor Receptor Mutations.

Ruoxi Qin, Zhenzhen Wang, Kai Qiao, Jinjin Hai, Lingyun Jiang, Jian Chen, Xilong Pei, Dapeng Shi, Bin Yan

IEEE Access, 2020

2019

A reinforcement learning approach for UAV target searching and tracking.

Tian Wang, Ruoxi Qin, Yang Chen, Hichem Snoussi, Chang Choi

Multim. Tools Appl., 2019

Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense.

Lingyun Jiang, Kai Qiao, Ruoxi Qin, Linyuan Wang, Jian Chen, Haibing Bu, Bin Yan

CoRR, 2019

Unsupervised Adversarial Perturbation Eliminating via Disentangled Representations.

Lingyun Jiang, Kai Qiao, Ruoxi Qin, Jian Chen, Haibing Bu, Bin Yan

Proceedings of the 2019 4th International Conference on Automation, 2019

2016

Cooperative target searching and tracking via UCT with probability distribution model.

Ruoxi Qin, Tian Wang, Haotian Jiang, Qianhong Yan, Weikang Wang, Hichem Snoussi

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016