Fengyu Cong

Orcid: 0000-0003-0058-2429

According to our database1, Fengyu Cong authored at least 114 papers between 2005 and 2025.

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

Timeline

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Bibliography

2025
Point out the mistakes: An HMM-based anomaly detection algorithm for sleep stage classification.
Biomed. Signal Process. Control., 2025

2024
Mobile Phone Use Driver Distraction Detection Based on MSaE of Multi-Modality Physiological Signals.
IEEE Trans. Intell. Transp. Syst., November, 2024

Combination of Channel Reordering Strategy and Dual CNN-LSTM for Epileptic Seizure Prediction Using Three iEEG Datasets.
IEEE J. Biomed. Health Informatics, November, 2024

Reconfiguration of Cognitive Control Networks During a Long-Duration Flanker Task.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Global Field Time-Frequency Representation-Based Discriminative Similarity Analysis of Passive Auditory ERPs for Diagnosis of Disorders of Consciousness.
IEEE Trans. Biomed. Eng., June, 2024

Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation.
IEEE Trans. Instrum. Meas., 2024

Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data.
NeuroImage, 2024

FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning.
CoRR, 2024

Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI.
Biomed. Signal Process. Control., 2024

A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data.
Biomed. Signal Process. Control., 2024

Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Ensemble deep clustering analysis for time window determination of event-related potentials.
Biomed. Signal Process. Control., September, 2023

A deep learning model developed for sleep apnea detection: A multi-center study.
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

Driver Distraction Detection Based on EEG Feature Fusion Using Random Forest.
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

Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification.
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

Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG.
Entropy, 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

Seizure Prediction Using EEG Channel Selection Method.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance.
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
Spatiotemporal Dynamical Analysis of Brain Activity During Mental Fatigue Process.
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

Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression.
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

Alpha Band Dysconnectivity Networks in Major Depression during Resting State.
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

Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness.
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

Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series.
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

Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data.
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

Multi-modality of polysomnography signals' fusion for automatic sleep scoring.
Biomed. Signal Process. Control., 2019

Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis.
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

Automatic Sleep Scoring Toolbox and Its Application in Sleep Apnea.
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

Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Fast Implementation of Double-coupled Nonnegative Canonical Polyadic Decomposition.
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
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation.
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

Cluster Aggregation for Analyzing Event-Related Potentials.
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

Post-ICA phase de-noising for resting-state complex-valued FMRI data.
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

A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity.
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

Distributed Road Surface Condition Monitoring Using Mobile Phones.
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

Data model conversion for independent component analysis to extract brain signals.
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

Concatenated trial based Hilbert-Huang transformation on event-related potentials.
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
Non-negative matrix factorization Vs. FastICA on mismatch negativity of children.
Proceedings of the International Joint Conference on Neural Networks, 2009

2005
Blind speech signal separation based on non-stationary and colored characteristics.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Blind signal separation and reverberation cancelling with active sonar data.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005


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