Cooperative target searching and tracking via UCT with probability distribution model. - Ruoxi Qin; Tian Wang 002; Haotian Jiang; Qianhong Yan; Weikang Wang; Hichem Snoussi (DSP, 2016)

Unsupervised Adversarial Perturbation Eliminating via Disentangled Representations. - Lingyun Jiang; Kai Qiao; Ruoxi Qin; Jian Chen 025; Haibing Bu; Bin Yan 002 (CACRE, 2019)

Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense. - Lingyun Jiang; Kai Qiao; Ruoxi Qin; Linyuan Wang 001; Jian Chen 025; Haibing Bu; Bin Yan 002 (CoRR, 2019)

A reinforcement learning approach for UAV target searching and tracking. - Tian Wang 002; Ruoxi Qin; Yang Chen 030; Hichem Snoussi; Chang Choi (Multim. Tools Appl., 2019)

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 025; Xilong Pei; Dapeng Shi; Bin Yan 002 (IEEE Access, 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 025; Junling Xu; Dapeng Shi; Bin Yan 002 (Comput. Math. Methods Medicine, 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 025; Junling Xu; Dapeng Shi; Bin Yan 002 (Complex., 2020)

Cycle-Consistent Adversarial GAN: The Integration of Adversarial Attack and Defense. - Lingyun Jiang; Kai Qiao; Ruoxi Qin; Linyuan Wang 001; Wanting Yu; Jian Chen 025; Haibing Bu; Bin Yan 002 (Secur. Commun. Networks, 2020)

Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model. - Ruoxi Qin; Linyuan Wang 001; Xingyuan Chen; Xuehui Du; Bin Yan 002 (CoRR, 2021)

Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout. - Pengfei Xie; Linyuan Wang 001; Ruoxi Qin; Kai Qiao; Shuhao Shi; Guoen Hu; Bin Yan 002 (CoRR, 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 001; Jian Chen 025; Guoen Hu; Bin Yan 002 (Frontiers Neurorobotics, 2021)

Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks. - Qi Peng; Wenlin Liu; Ruoxi Qin; Libin Hou; Bin Yan 002; Linyuan Wang 001 (CoRR, 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 ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness. - Ruoxi Qin; Linyuan Wang 001; Xuehui Du; Xingyuan Chen; Bin Yan 002 (CoRR, 2023)

An adversarial transferability metric based on SVD of Jacobians to disentangle the correlation with robustness. - Ruoxi Qin; Linyuan Wang 001; Xuehui Du; Shuxiao Ma; Xingyuan Chen; Bin Yan 002 (Appl. Intell., 2023)

Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model. - Ruoxi Qin; Linyuan Wang 001; Xuehui Du; Pengfei Xie; Xingyuan Chen; Bin Yan 002 (Frontiers Neurorobotics, 2023)

Adversarial defense method based on ensemble learning for modulation signal intelligent recognition. - Chao Han; Ruoxi Qin; Linyuan Wang 001; Weijia Cui; Jian Chen 025; Bin Yan 002 (Wirel. Networks, 2023)

Adversarial robust decision-making under uncertainty learning and dynamic ensemble selection. - Ruoxi Qin; Linyuan Wang 001; Xuehui Du; Jian Chen 025; Xingyuan Chen; Bin Yan 002 (Eng. Appl. Artif. Intell., 2024)