Linyuan Wang

Orcid: 0000-0003-1087-5911

Affiliations:
  • PLA Strategy Support Force Information Engineering University, Henan Key Laboratory of Imaging and Intelligence Processing, China
  • National Digital Switching System Engineering & Technological R&D Centre, Zhengzhou, China


According to our database1, Linyuan Wang authored at least 53 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Aligned with LLM: a new multi-modal training paradigm for encoding fMRI activity in visual cortex.
CoRR, 2024

2023
EnNeRFACE: improving the generalization of face reenactment with adaptive ensemble neural radiance fields.
Vis. Comput., December, 2023

Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks.
Appl. Intell., December, 2023

Adversarial defense method based on ensemble learning for modulation signal intelligent recognition.
Wirel. Networks, October, 2023

Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model.
Frontiers Neurorobotics, June, 2023

An adversarial transferability metric based on SVD of Jacobians to disentangle the correlation with robustness.
Appl. Intell., May, 2023

Adaptive Multi-layer Contrastive Graph Neural Networks.
Neural Process. Lett., 2023

A Multimodal Visual Encoding Model Aided by Introducing Verbal Semantic Information.
CoRR, 2023

Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness.
CoRR, 2023

MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark.
CoRR, 2023

2022
Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition.
Frontiers Neurorobotics, 2022

Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks.
CoRR, 2022

Reconstructing natural images from human fMRI by alternating encoding and decoding with shared autoencoder regularization.
Biomed. Signal Process. Control., 2022

A Mask Image Recognition Attention Network Supervised by Eye Movement.
Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022

2021
Fully Convolutional DenseNet with Attention Mechanism for Liver Lesion Segmentation in MRI Images.
J. Medical Imaging Health Informatics, 2021

ShapeEditor: A StyleGAN Encoder for Stable and High Fidelity Face Swapping.
Frontiers Neurorobotics, 2021

Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing.
Frontiers Neurorobotics, 2021

Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification.
Frontiers Neurorobotics, 2021

Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks.
Frontiers Comput. Neurosci., 2021

Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout.
CoRR, 2021

AdaGCN: Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification.
CoRR, 2021

Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model.
CoRR, 2021

Shape Features Improve the Encoding Performance of High-level Visual Cortex.
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

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

A Comparative Analysis of Visual Encoding Models Based on Classification and Segmentation Task-Driven CNNs.
Comput. Math. Methods Medicine, 2020

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

Effective and Efficient ROI-wise Visual Encoding Using an End-to-End CNN Regression Model and Selective Optimization.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 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

2019
Promising Generative Adversarial Network Based Sinogram Inpainting Method for Ultra-Limited-Angle Computed Tomography Imaging.
Sensors, 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

Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image Information.
Comput. Math. Methods Medicine, 2019

A Direct Material Reconstruction Method for DECT Based on Total Variation and BM3D Frame.
IEEE Access, 2019

Different Goal-driven CNNs Affect Performance of Visual Encoding Models based on Deep Learning.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

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

Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain.
CoRR, 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

Image Decomposition Algorithm for Dual-Energy Computed Tomography via Fully Convolutional Network.
Comput. Math. Methods Medicine, 2018

Preliminary Study: an Efficient Solving Algorithm for Determining the Exact Sampling Condition of Limited-Angle CT Reconstruction.
Proceedings of the 14th International Conference on Natural Computation, 2018

Resting-State Regional Homogeneity Analysis on Real-Time fMRI Emotion Self-Regulation Training.
Proceedings of the 2018 International Conference on Control, 2018

2017
Efficient image decomposition for DECT by alternating direction method.
Proceedings of the 13th International Conference on Natural Computation, 2017

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

A hybrid projection decomposition algorithm for dual-energy computed tomography.
Proceedings of the 12th International Conference on Natural Computation, 2016

2015
Efficient TpV minimization for circular, cone-beam computed tomography reconstruction via non-convex optimization.
Comput. Medical Imaging Graph., 2015

An approach to classify visual semantic based on visual encoding with the convolutional neural network.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter.
Comput. Math. Methods Medicine, 2014

3D Alternating Direction TV-Based Cone-Beam CT Reconstruction with Efficient GPU Implementation.
Comput. Math. Methods Medicine, 2014

Edge-assistant visual objects decoding using sparse representation.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
Distributed Reconstruction via Alternating Direction Method.
Comput. Math. Methods Medicine, 2013


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