Bin Yan
Orcid: 0000-0002-0393-9641Affiliations:
- PLA Strategy Support Force Information Engineering University, Henan Key Laboratory of Imaging and Intelligence Processing, Zhengzhou, China
- China National Digital Switching System Engineering and Technological R&D Center, Zhengzhou, China (former)
According to our database1,
Bin Yan
authored at least 125 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
SStackGNN: Graph Data Augmentation Simplified Stacking Graph Neural Network for Twitter Bot Detection.
Int. J. Comput. Intell. Syst., December, 2024
Network architecture for single image super-resolution: A comprehensive review and comparison.
IET Image Process., July, 2024
AEM-PCB Reverser: Circuit Schematic Generation in PCB Reverse Engineering Using Reinforcement Learning Based on Aesthetic Evaluation Metric.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024
IEEE Trans. Instrum. Meas., 2024
Adversarial robust decision-making under uncertainty learning and dynamic ensemble selection.
Eng. Appl. Artif. Intell., 2024
Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack.
CoRR, 2024
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction.
CoRR, 2024
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation.
CoRR, 2024
Aligned with LLM: a new multi-modal training paradigm for encoding fMRI activity in visual cortex.
CoRR, 2024
Prior image-based generative adversarial learning for multi-material decomposition in photon counting computed tomography.
Comput. Biol. Medicine, 2024
Semantic contrast with uncertainty-aware pseudo label for lumbar semi-supervised classification.
Comput. Biol. Medicine, 2024
Unsupervised metal artifacts reduction network for CT images based on efficient transformer.
Biomed. Signal Process. Control., 2024
Volume Conservation Constrained Multi-Material Reconstruction for Inconsistent Spectral CT Imaging.
IEEE Access, 2024
IEEE Access, 2024
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Representation Learning across Feature and Topology Views with Output Correction for Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
EnNeRFACE: improving the generalization of face reenactment with adaptive ensemble neural radiance fields.
Vis. Comput., December, 2023
Neural Process. Lett., 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
Generative adversarial feature learning for glomerulopathy histological classification.
Biomed. Signal Process. Control., April, 2023
An active learning method based on result quality evaluation for printed circuit board computed tomography image segmentation.
IET Image Process., 2023
CoRR, 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness.
CoRR, 2023
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective.
CoRR, 2023
CoRR, 2023
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection.
CoRR, 2023
CoRR, 2023
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023
Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023
2022
Frontiers Neurorobotics, September, 2022
Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition.
Frontiers Neurorobotics, 2022
Multiscale Dense U-Net: A Fast Correction Method for Thermal Drift Artifacts in Laboratory NanoCT Scans of Semi-Conductor Chips.
Entropy, 2022
CoRR, 2022
A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets.
Comput. Intell. Neurosci., 2022
Reconstructing natural images from human fMRI by alternating encoding and decoding with shared autoencoder regularization.
Biomed. Signal Process. Control., 2022
Multi-material Reconstruction Method Based On Deep Prior of Spectral Computed Tomography.
Proceedings of the ITCC 2022: 4th International Conference on Information Technology and Computer Communications, Guangzhou, China, June 23, 2022
Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022
2021
Completion of Metal-Damaged Traces Based on Deep Learning in Sinogram Domain for Metal Artifacts Reduction in CT Images.
Sensors, 2021
Thermal Drift Correction for Laboratory Nano Computed Tomography via Outlier Elimination and Feature Point Adjustment.
Sensors, 2021
Fully Convolutional DenseNet with Attention Mechanism for Liver Lesion Segmentation in MRI Images.
J. Medical Imaging Health Informatics, 2021
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
Dissociable Neural Representations of Adversarially Perturbed Images in Convolutional Neural Networks and the Human Brain.
Frontiers Neuroinformatics, 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
Multi-view features integrated 2D\3D Net for glomerulopathy histologic types classification using ultrasound images.
Comput. Methods Programs Biomed., 2021
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.
BMC Medical Imaging, 2021
Labeled Multi-Bernoulli Filter based Group Target Tracking Using SDE and Graph Theory.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
Proceedings of the CCEAI 2021: 5th International Conference on Control Engineering and Artificial Intelligence, 2021
2020
Secur. Commun. Networks, 2020
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features.
CoRR, 2020
CoRR, 2020
Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism.
Complex., 2020
A Comparative Analysis of Visual Encoding Models Based on Classification and Segmentation Task-Driven CNNs.
Comput. Math. Methods Medicine, 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
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
Altered task-special connectivity of hippocampus during rt-fMRI neurofeedback training of emotion regulation.
Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 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
Geometric Artifact Evaluation of X-ray Computed Tomography Images Based on Convolutional Neural Network.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020
2019
EEG-Based Identity Authentication Framework Using Face Rapid Serial Visual Presentation with Optimized Channels.
Sensors, 2019
Promising Generative Adversarial Network Based Sinogram Inpainting Method for Ultra-Limited-Angle Computed Tomography Imaging.
Sensors, 2019
CoRR, 2019
CoRR, 2019
Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image Information.
Comput. Math. Methods Medicine, 2019
Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.
Comput. Medical Imaging Graph., 2019
IEEE Access, 2019
Identity Authentication Using Portable Electroencephalography Signals in Resting States.
IEEE Access, 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
Proceedings of the 2019 4th International Conference on Automation, 2019
The Changes of Brain Networks Topology in Graph Theory of rt-fMRI Emotion Self-regulation Training.
Proceedings of the Brain Informatics - 12th International Conference, 2019
2018
Sensors, 2018
An EEG-Based Person Authentication System with Open-Set Capability Combining Eye Blinking Signals.
Sensors, 2018
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
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
A Parameter Division Based Method for the Geometrical Calibration of X-Ray Industrial Cone-Beam CT.
IEEE Access, 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
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
2017
Real-time EEG-based person authentication system using face rapid serial visual presentation.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
Level set method for image segmentation based on local variance and improved intensity inhomogeneity model.
IET Image Process., 2016
Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network.
CoRR, 2016
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
2015
NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CT.
Comput. Math. Methods Medicine, 2015
Efficient TpV minimization for circular, cone-beam computed tomography reconstruction via non-convex optimization.
Comput. Medical Imaging Graph., 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 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
An image reconstruction strategy for truncated projections of planar object in cone-beam CT.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
X-ray CT image reconstruction from few-views via total generalized p-variation minimization.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
Proceedings of the IEEE 13th International Symposium on Parallel and Distributed Computing, 2014
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014
2013
Comput. Math. Methods Medicine, 2013
Comput. Math. Methods Medicine, 2013
A Mixed L2 Norm Regularized HRF Estimation Method for Rapid Event-Related fMRI Experiments.
Comput. Math. Methods Medicine, 2013
Proceedings of the Ninth International Conference on Natural Computation, 2013
2012
Proceedings of the Eighth International Conference on Natural Computation, 2012
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2011
A resting-state fMRI study of patients with HIV infection based on regional homogeneity method.
Proceedings of the Seventh International Conference on Natural Computation, 2011
2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
A Brain MR Image Segmentation Approach Based on Local Intensity Fitting Curve Evolution.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009