Xingyu Zhou

Orcid: 0000-0003-3439-4450

Affiliations:
  • Army Engineering University of PLA, Nanjing, China


According to our database1, Xingyu Zhou authored at least 17 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Boosting Adversarial Transferability with Shallow-Feature Attack on SAR Images.
Remote. Sens., 2023

2022
Enhancing transferability of adversarial examples via rotation-invariant attacks.
IET Comput. Vis., 2022

Adversarial Attack via Dual-Stage Network Erosion.
CoRR, 2022

Adversarial attack via dual-stage network erosion.
Comput. Secur., 2022

Learning Coated Adversarial Camouflages for Object Detectors.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
A data independent approach to generate adversarial patches.
Mach. Vis. Appl., 2021

Robust and label efficient bi-filtering graph convolutional networks for node classification.
Knowl. Based Syst., 2021

DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors.
CoRR, 2021

Mask-guided noise restriction adversarial attacks for image classification.
Comput. Secur., 2021

Learning Indistinguishable and Transferable Adversarial Examples.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2019
Attributed network representation learning via DeepWalk.
Intell. Data Anal., 2019

X-Net: A Binocular Summation Network for Foreground Segmentation.
IEEE Access, 2019

DDoS Traffic Control Using Transfer Learning DQN With Structure Information.
IEEE Access, 2019

Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction.
IEEE Access, 2019

2018
可伸缩模块化CNN人群计数方法 (Crowd Counting Method via Scalable Modularized Convolutional Neural Network).
计算机科学, 2018

2017
Detecting Semantic Communities in Social Networks.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Joint Optimization of Perceptual Gain Function and Deep Neural Networks for Single-Channel Speech Enhancement.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017


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