Fengyu Cong
Orcid: 0000-0003-0058-2429
According to our database1,
Fengyu Cong
authored at least 104 papers
between 2005 and 2024.
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Bibliography
2024
IEEE Trans. Instrum. Meas., 2024
2023
Ensemble deep clustering analysis for time window determination of event-related potentials.
Biomed. Signal Process. Control., September, 2023
Biomed. Signal Process. Control., August, 2023
Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture.
Biomed. Signal Process. Control., April, 2023
Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture.
Int. J. Imaging Syst. Technol., January, 2023
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation.
CoRR, 2023
Multiple Instance Learning for Lymph Node Metastasis Prediction from Cervical Cancer MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 2023 8th International Conference on Biomedical Imaging, 2023
Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities.
Proceedings of the International Conference on Computers, 2023
2022
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint.
IEEE Trans. Medical Imaging, 2022
Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Instrum. Meas., 2022
Exploring Oscillatory Dysconnectivity Networks in Major Depression During Resting State Using Coupled Tensor Decomposition.
IEEE Trans. Biomed. Eng., 2022
Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data.
NeuroImage, 2022
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG.
Int. J. Neural Syst., 2022
SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG.
Biomed. Signal Process. Control., 2022
Quantitative evaluation of short-term resting-state brain networks for primary insomnia diagnosis.
Biomed. Signal Process. Control., 2022
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-Resolution Multi-Organ Shape Prior Knowledge Model.
Proceedings of the International Conference on Computers, 2022
2021
IEEE Trans. Cogn. Dev. Syst., 2021
Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme.
Neural Comput. Appl., 2021
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG.
Neurocomputing, 2021
Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD.
Int. J. Neural Syst., 2021
Response to Discussion on Y. Zhu, X. Wang, K. Mathiak, P. Toiviainen, T. Ristaniemi, J. Xu, Y. Chang and F. Cong, Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression, International Journal of Neural Systems, Vol. 31 No. 3 (2021).
Int. J. Neural Syst., 2021
Int. J. Neural Syst., 2021
Corrigendum to 'Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition' [Computer Methods and Programs in Biomedicine 184 (2020) 105120].
Comput. Methods Programs Biomed., 2021
End-to-end sleep staging using convolutional neural network in raw single-channel EEG.
Biomed. Signal Process. Control., 2021
Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint.
IEEE Trans. Medical Imaging, 2020
Rapid Yeast Cell Viability Analysis by Using a Portable Microscope Based on the Fiber Optic Array and Simple Image Processing.
Sensors, 2020
Discovering dynamic task-modulated functional networks with specific spectral modes using MEG.
NeuroImage, 2020
Stability-driven non-negative matrix factorization-based approach for extracting dynamic network from resting-state EEG.
Neurocomputing, 2020
Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech.
Int. J. Neural Syst., 2020
Entropy, 2020
Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition.
Comput. Methods Programs Biomed., 2020
Optimal imaging of multi-channel EEG features based on a novel clustering technique for driver fatigue detection.
Biomed. Signal Process. Control., 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions.
Signal Process. Image Commun., 2019
Biomed. Signal Process. Control., 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the E-Business and Telecommunications - 16th International Conference, 2019
An Automatic Sleep Scoring Toolbox: Multi-modality of Polysomnography Signals' Processing.
Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2019
Detection of Myocardial Infarction from Multi-lead ECG using Dual-Q Tunable Q-Factor Wavelet Transform.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
IEEE Trans. Signal Process., 2018
Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain.
Entropy, 2018
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study.
CoRR, 2018
Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
2017
Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Model order effects on independent vector analysis applied to complex-valued fMRI data.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Wood Surface Quality Detection and Classification Using Gray Level and Texture Features.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Advanced Signal Processing on Brain Event-Related Potentials - Filtering ERPs in Time, Frequency and Space Domains Sequentially and Simultaneously
WorldScientific, ISBN: 9789814623100, 2015
2014
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials.
Int. J. Neural Syst., 2014
Multi-domain collaborative spectrum sensing and power control in presence of multiple primary users.
Proceedings of the IEEE International Conference on Communication Systems, 2014
Generation of stimulus features for analysis of FMRI during natural auditory experiences.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features.
IEEE Trans. Multim., 2013
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG.
Int. J. Neural Syst., 2013
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
Semi-blind independent component analysis of functional MRI elicited by continuous listening to music.
Proceedings of the IEEE International Conference on Acoustics, 2013
Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013
2012
Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array.
Int. J. Neural Syst., 2012
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization.
Proceedings of the 20th European Signal Processing Conference, 2012
Fast and effective model order selection method to determine the number of sources in a linear transformation model.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Can back-projection fully resolve polarity indeterminacy of independent component analysis in study of event-related potential?
Biomed. Signal Process. Control., 2011
Proceedings of the Ubiquitous Intelligence and Computing - 8th International Conference, 2011
Second order impropriety based complex-valued algorithm for frequency-domain blind separation of convolutive speech mixtures.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
How many single trials' EEG recordings are enough to extract children's brain activity of mismatch negativity by independent component analysis?
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA.
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011
2010
Single-Trial Based Independent Component Analysis on mismatch Negativity in Children.
Int. J. Neural Syst., 2010
Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials.
Proceedings of the Advances in Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials.
Proceedings of the International Joint Conference on Neural Networks, 2010
Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2005
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005