Kai Qiao

According to our database1, Kai Qiao authored at least 24 papers between 2016 and 2020.

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



In proceedings 
PhD thesis 


On csauthors.net:


Cycle-Consistent Adversarial GAN: The Integration of Adversarial Attack and Defense.
Secur. Commun. Networks, 2020

Defense-guided Transferable Adversarial Attacks.
CoRR, 2020

Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features.
CoRR, 2020

BigGAN-based Bayesian reconstruction of natural images from human brain activity.
CoRR, 2020

AdvJND: Generating Adversarial Examples with Just Noticeable Difference.
CoRR, 2020

Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism.
Complex., 2020

Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations.
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.
IEEE Access, 2020

Applying Regulations in the Embryonic Energy Civil-Military Integration Industry to Achieve Sustainable Development: A Tripartite Evolutionary Game Study.
IEEE Access, 2020

AdvJND: Generating Adversarial Examples with Just Noticeable Difference.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

End-to-End Image Reconstruction of Image from Human Functional Magnetic Resonance Imaging Based on the "Language" of Visual Cortex.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

HAD-GAN: A Human-perception Auxiliary Defense GAN to Defend Adversarial Examples.
CoRR, 2019

Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization.
CoRR, 2019

Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense.
CoRR, 2019

A visual encoding model based on deep neural networks and transfer learning.
CoRR, 2019

Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.
Comput. Medical Imaging Graph., 2019

Design of High-resolution Hyperspectral Imaging Satellite with Large Angular Motion Compensation.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Unsupervised Adversarial Perturbation Eliminating via Disentangled Representations.
Proceedings of the 2019 4th International Conference on Automation, 2019

Wire segmentation for printed circuit board using deep convolutional neural network and graph cut model.
IET Image Process., 2018

Accurate Reconstruction of Image Stimuli From Human Functional Magnetic Resonance Imaging Based on the Decoding Model With Capsule Network Architecture.
Frontiers Neuroinformatics, 2018

Constraint-free Natural Image Reconstruction from fMRI Signals Based on Convolutional Neural Network.
CoRR, 2018

Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture.
CoRR, 2018

A CNN-based computational encoding model for human V1 cortex.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network.
CoRR, 2016