Fengyu Cong

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 76

Top Venues

Biomed. Signal Process. Control.

ICASSP

Int. J. Neural Syst.

EUSIPCO

Publications

Dongdong Zhou, Qi Xu, Jiacheng Zhang, Lei Wu, Hongming Xu, Lauri Kettunen, Zheng Chang, Qiang Zhang, Fengyu Cong
Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation. IEEE Trans. Instrum. Meas. 73 (2024)
Yukai Cai, Hang Liu, Xiulin Wang, Hongjin Li, Ziyi Wang, Chuanshuai Yang, Fengyu Cong
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning. CoRR (2024)
Jia Liu, Yongjie Zhu, Zheng Chang, Tiina Parviainen, Christian Antfolk, Timo Hämäläinen, Fengyu Cong
Reconfiguration of Cognitive Control Networks During a Long-Duration Flanker Task. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Bin-Hua Zhao, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data. Biomed. Signal Process. Control. 95 (2024)
Guanghui Zhang, Carlos D. Carrasco, Kurt Winsler, Brett Bahle, Fengyu Cong, Steven J. Luck
Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data. NeuroImage 293 (2024)
Xinyu Hao, Hongming Xu, Nannan Zhao, Tao Yu, Timo Hämäläinen, Fengyu Cong
Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI. Biomed. Signal Process. Control. 93 (2024)
Xiaoyu Wang, Yi Yang, Geoffrey Laforge, Xueling Chen, Loretta Norton, Adrian M. Owen, Jianghong He, Fengyu Cong
Global Field Time-Frequency Representation-Based Discriminative Similarity Analysis of Passive Auditory ERPs for Diagnosis of Disorders of Consciousness. IEEE Trans. Biomed. Eng. 71 (6) (2024)
Huashuai Xu, Huanjie Li, Tommi Kärkkäinen, Fengyu Cong
Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities. CIPAE (2023)
Xinyu Hao, Hongming Xu, Nannan Zhao, Tao Yu, Timo Hämäläinen, Fengyu Cong
Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRI. EMBC (2023)
Shan Jin, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Qi Xu, Yong Zhu, Fengyu Cong
Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. Int. J. Imaging Syst. Technol. 33 (1) (2023)
Reza Mahini, Fan Li, Mahdi Zarei, Asoke K. Nandi, Timo Hämäläinen, Fengyu Cong
Ensemble deep clustering analysis for time window determination of event-related potentials. Biomed. Signal Process. Control. 86 (Part B) (2023)
Shan Jin, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Ranran Wang, Fengyu Cong
Multiple Instance Learning for Lymph Node Metastasis Prediction from Cervical Cancer MRI. ISBI (2023)
Fan Li, Yan Xu, Junjun Chen, Ping Lu, Bin Zhang, Fengyu Cong
A deep learning model developed for sleep apnea detection: A multi-center study. Biomed. Signal Process. Control. 85 (2023)
Xiulin Wang, Tapani Ristaniemi, Fengyu Cong
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation. CoRR (2023)
Xin Zuo, Chi Zhang, Jian Zhao, Timo Hämäläinen, Fengyu Cong
Driver Distraction Detection Based on EEG Feature Fusion Using Random Forest. ICBSP (2023)
Hang Liu, Shaowei Cui, Xiaohui Zhao, Fengyu Cong
Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture. Biomed. Signal Process. Control. 82 (2023)
Chi Zhang, Lina Sun, Shuang Ge, Yi Chang, Mingyan Jin, Yang Xiao, Hanbing Gao, Lin Wang, Fengyu Cong
Quantitative evaluation of short-term resting-state brain networks for primary insomnia diagnosis. Biomed. Signal Process. Control. 74 (2022)
Guoqiang Hu, Huanjie Li, Wei Zhao, Yuxing Hao, Zonglei Bai, Lisa D. H. Nickerson, Fengyu Cong
Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data. NeuroImage 255 (2022)
Xin Zuo, Chi Zhang, Timo Hämäläinen, Hanbing Gao, Yu Fu, Fengyu Cong
Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG. Entropy 24 (9) (2022)
Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint. IEEE Trans. Medical Imaging 41 (3) (2022)
Xiaoshuang Wang, Guanghui Zhang, Ying Wang, Lin Yang, Zhanhua Liang, Fengyu Cong
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG. Int. J. Neural Syst. 32 (2) (2022)
Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. IJCNN (2022)
Dongdong Zhou, Qi Xu, Jian Wang, Hongming Xu, Lauri Kettunen, Zheng Chang, Fengyu Cong
Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification. IEEE Trans. Instrum. Meas. 71 (2022)
Xin Zuo, Chi Zhang, Fengyu Cong, Jian Zhao, Timo Hämäläinen
Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Dongdong Zhou, Jian Wang, Guoqiang Hu, Jiacheng Zhang, Fan Li, Rui Yan, Lauri Kettunen, Zheng Chang, Qi Xu, Fengyu Cong
SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG. Biomed. Signal Process. Control. 75 (2022)
Wenya Liu, Xiulin Wang, Timo Hämäläinen, Fengyu Cong
Exploring Oscillatory Dysconnectivity Networks in Major Depression During Resting State Using Coupled Tensor Decomposition. IEEE Trans. Biomed. Eng. 69 (8) (2022)
Xiaoshuang Wang, Tommi Kärkkäinen, Fengyu Cong
Seizure Prediction Using EEG Channel Selection Method. MLSP (2022)
Zhonghua Chen, Hongkai Wang, Fengyu Cong, Lauri Kettunen
Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-Resolution Multi-Organ Shape Prior Knowledge Model. CIPAE (2022)
Jia Liu, Chi Zhang, Yongjie Zhu, Tapani Ristaniemi, Tiina Parviainen, Fengyu Cong
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. 198 (2021)
Jana Zweerings, Kiira Sarasjärvi, Krystyna Anna Mathiak, Jorge Iglesias-Fuster, Fengyu Cong, Mikhail Zvyagintsev, Klaus Mathiak
Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD. Int. J. Neural Syst. 31 (11) (2021)
Xiaoshuang Wang, Xiulin Wang, Wenya Liu, Zheng Chang, Tommi Kärkkäinen, Fengyu Cong
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG. Neurocomputing 459 (2021)
Yongjie Zhu, Xiaoyu Wang, Klaus Mathiak, Petri Toiviainen, Tapani Ristaniemi, Jing Xu, Yi Chang, Fengyu Cong
Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression. Int. J. Neural Syst. 31 (3) (2021)
Fan Li, Rui Yan, Reza Mahini, Lai Wei, Zhiqiang Wang, Klaus Mathiak, Rong Liu, Fengyu Cong
End-to-end sleep staging using convolutional neural network in raw single-channel EEG. Biomed. Signal Process. Control. 63 (2021)
Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun
Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. ICASSP (2021)
Chi Zhang, Lina Sun, Fengyu Cong, Tapani Ristaniemi
Spatiotemporal Dynamical Analysis of Brain Activity During Mental Fatigue Process. IEEE Trans. Cogn. Dev. Syst. 13 (3) (2021)
Wenya Liu, Xiulin Wang, Fengyu Cong, Timo Hämäläinen
Alpha Band Dysconnectivity Networks in Major Depression during Resting State. EUSIPCO (2021)
Yongjie Zhu, Xiaoyu Wang, Klaus Mathiak, Petri Toiviainen, Tapani Ristaniemi, Jing Xu, Yi Chang, Fengyu Cong
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. 31 (4) (2021)
Dongdong Zhou, Qi Xu, Jian Wang, Jiacheng Zhang, Guoqiang Hu, Lauri Kettunen, Zheng Chang, Fengyu Cong
LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms. EMBC (2021)
Deqing Wang, Zheng Chang, Fengyu Cong
Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme. Neural Comput. Appl. 33 (24) (2021)
Yongjie Zhu, Jia Liu, Tapani Ristaniemi, Fengyu Cong
Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech. Int. J. Neural Syst. 30 (3) (2020)
Chi Zhang, Jinfei Ma, Jian Zhao, Pengbo Liu, Fengyu Cong, Tianjiao Liu, Ying Li, Lina Sun, Ruosong Chang
Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness. Entropy 22 (7) (2020)
Rui Yan, Fan Li, Dongdong Zhou, Tapani Ristaniemi, Fengyu Cong
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series. EUSIPCO (2020)
Zhonghua Chen, Tapani Ristaniemi, Fengyu Cong, Hongkai Wang
Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling. ISNN (2020)
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. IEEE Trans. Medical Imaging 39 (4) (2020)
Weiming Wang, Hang Liu, Yan Yu, Fengyu Cong, Jun Yu
Rapid Yeast Cell Viability Analysis by Using a Portable Microscope Based on the Fiber Optic Array and Simple Image Processing. Sensors 20 (7) (2020)
Jia Liu, Chi Zhang, Yongjie Zhu, Tapani Ristaniemi, Tiina Parviainen, Fengyu Cong
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. 184 (2020)
Yongjie Zhu, Jia Liu, Chaoxiong Ye, Klaus Mathiak, Piia Astikainen, Tapani Ristaniemi, Fengyu Cong
Discovering dynamic task-modulated functional networks with specific spectral modes using MEG. NeuroImage 218 (2020)
Xiaoshuang Wang, Tapani Ristaniemi, Fengyu Cong
One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals. EUSIPCO (2020)
Tianyi Zhou, Jiannan Kang, Fengyu Cong, Xiaoli Li
Stability-driven non-negative matrix factorization-based approach for extracting dynamic network from resting-state EEG. Neurocomputing 389 (2020)
Xiulin Wang, Wenya Liu, Fengyu Cong, Tapani Ristaniemi
Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data. EUSIPCO (2020)
Chi Zhang, Lina Sun, Fengyu Cong, Tuomo Kujala, Tapani Ristaniemi, Tiina Parviainen
Optimal imaging of multi-channel EEG features based on a novel clustering technique for driver fatigue detection. Biomed. Signal Process. Control. 62 (2020)
Wenya Liu, Xiulin Wang, Tapani Ristaniemi, Fengyu Cong
Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition. ICONIP (5) (2020)
Jia Liu, Chi Zhang, Tapani Ristaniemi, Fengyu Cong
Detection of Myocardial Infarction from Multi-lead ECG using Dual-Q Tunable Q-Factor Wavelet Transform. EMBC (2019)
Rui Yan, Fan Li, Xiaoyu Wang, Tapani Ristaniemi, Fengyu Cong
Automatic Sleep Scoring Toolbox and Its Application in Sleep Apnea. ICETE (Selected Papers) (2019)
Deqing Wang, Fengyu Cong, Tapani Ristaniemi
Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm. ICASSP (2019)
Xiulin Wang, Tapani Ristaniemi, Fengyu Cong
Fast Implementation of Double-coupled Nonnegative Canonical Polyadic Decomposition. ICASSP (2019)
Rui Yan, Chi Zhang, Karen Spruyt, Lai Wei, Zhiqiang Wang, Lili Tian, Xueqiao Li, Tapani Ristaniemi, Jihui Zhang, Fengyu Cong
Multi-modality of polysomnography signals' fusion for automatic sleep scoring. Biomed. Signal Process. Control. 49 (2019)
Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wen-Da Zhao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. ISNN (2) (2019)
Xiulin Wang, Chi Zhang, Tapani Ristaniemi, Fengyu Cong
Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis. ISNN (2) (2019)
Yongjie Zhu, Xueqiao Li, Tapani Ristaniemi, Fengyu Cong
Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition. ICASSP (2019)
Rui Yan, Fan Li, Xiaoyu Wang, Tapani Ristaniemi, Fengyu Cong
An Automatic Sleep Scoring Toolbox: Multi-modality of Polysomnography Signals' Processing. ICETE (1) (2019)
Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer
Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions. Signal Process. Image Commun. 73 (2019)
Deqing Wang, Xiaoyu Wang, Yongjie Zhu, Petri Toiviainen, Minna Huotilainen, Tapani Ristaniemi, Fengyu Cong
Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition. ISNN (2018)
Chi Zhang, Fengyu Cong, Tuomo Kujala, Wenya Liu, Jia Liu, Tiina Parviainen, Tapani Ristaniemi
Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain. Entropy 20 (5) (2018)
Deqing Wang, Fengyu Cong, Tapani Ristaniemi
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study. CoRR (2018)
Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. IEEE Trans. Signal Process. 66 (13) (2018)
Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang, Ying-Guang Hao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun
Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data. ISNN (2) (2017)
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun
Post-ICA phase de-noising for resting-state complex-valued FMRI data. ICASSP (2017)
Reza Mahini, Tianyi Zhou, Peng Li, Asoke K. Nandi, Huanjie Li, Hong Li, Fengyu Cong
Cluster Aggregation for Analyzing Event-Related Potentials. ISNN (2) (2017)
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Yong-Gang Chen, Fengyu Cong, Vince D. Calhoun
Model order effects on independent vector analysis applied to complex-valued fMRI data. ISBI (2017)
Deqing Wang, Fengyu Cong, Qibin Zhao, Petri Toiviainen, Asoke K. Nandi, Minna Huotilainen, Tapani Ristaniemi, Andrzej Cichocki
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. MLSP (2016)
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun
An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. ICASSP (2016)
Tiantian Yang, Fengyu Cong, Zheng Chang, Youyi Liu, Tapani Ristaniemi, Hong Li
Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses. ISNN (2016)
Namgil Lee, Anh Huy Phan, Fengyu Cong, Andrzej Cichocki
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. ICONIP (3) (2016)
Deqing Wang, Zengwu Liu, Fengyu Cong
Wood Surface Quality Detection and Classification Using Gray Level and Texture Features. ISNN (2015)
Valeri Tsatsishvili, Fengyu Cong, Petri Toiviainen, Tapani Ristaniemi
Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data. IJCNN (2015)
Fengyu Cong, Guoxu Zhou, Piia Astikainen, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. Int. J. Neural Syst. 24 (8) (2014)
Valeri Tsatsishvili, Fengyu Cong, Tapani Ristaniemi, Petri Toiviainen, Vinoo Alluri, Elvira Brattico, Asoke K. Nandi
Generation of stimulus features for analysis of FMRI during natural auditory experiences. EUSIPCO (2014)
Zheng Chang, Yang Liu, Fengyu Cong, Xijuan Guo, Zhenyu Zhou
Multi-domain collaborative spectrum sensing and power control in presence of multiple primary users. ICCS (2014)
Fengyu Cong, Vinoo Alluri, Asoke K. Nandi, Petri Toiviainen, Rui Fa, Basel Abu-Jamous, Liyun Gong, Bart G. W. Craenen, Hanna Poikonen, Minna Huotilainen, Tapani Ristaniemi
Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features. IEEE Trans. Multim. 15 (5) (2013)
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Jing Fan, Fengyu Cong, Vince D. Calhoun
Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis. ChinaSIP (2013)
Tuomas Puoliväli, Fengyu Cong, Vinoo Alluri, Qiu-Hua Lin, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi
Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. ICASSP (2013)
Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Qiang Wu, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. Int. J. Neural Syst. 23 (2) (2013)
Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi, Vinoo Alluri, Petri Toiviainen, Elvira Brattico, Asoke K. Nandi
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis. CoRR (2013)
Qiangfeng Zhao, Junfeng Sun, Fengyu Cong, Shan Chen, Yingying Tang, Shanbao Tong
Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously. EMBC (2013)
Fengyu Cong, Hannu Hautakangas, Jukka Nieminen, Oleksiy Mazhelis, Mikko Perttunen, Jukka Riekki, Tapani Ristaniemi
Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection. ISNN (1) (2013)
Valeri Tsatsishvili, Fengyu Cong, Tuomas Puoliväli, Vinoo Alluri, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi
Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis. ESANN (2013)
Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi, Vinoo Alluri, Petri Toiviainen, Elvira Brattico, Asoke K. Nandi
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis. MLSP (2013)
Fengyu Cong, Aleksandr Aleksandrov, Veronika Knyazeva, Tatyana Deinekina, Tapani Ristaniemi
A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity. ISNN (1) (2012)
Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. ICONIP (3) (2012)
Fengyu Cong, Anh Huy Phan, Qibin Zhao, Asoke K. Nandi, Vinoo Alluri, Petri Toiviainen, Hanna Poikonen, Minna Huotilainen, Andrzej Cichocki, Tapani Ristaniemi
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization. EUSIPCO (2012)
Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. LVA/ICA (2012)
Fengyu Cong, Asoke K. Nandi, Zhaoshui He, Andrzej Cichocki, Tapani Ristaniemi
Fast and effective model order selection method to determine the number of sources in a linear transformation model. EUSIPCO (2012)
Fengyu Cong, Anh Huy Phan, Qibin Zhao, Tiina Huttunen-Scott, Jukka Kaartinen, Tapani Ristaniemi, Heikki Lyytinen, Andrzej Cichocki
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. 22 (6) (2012)
Fengyu Cong, Guoxu Zhou, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Tapani Ristaniemi, Andrzej Cichocki
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. MLSP (2012)
Fengyu Cong, Qiu-Hua Lin, Peng Jia, Xizhi Shi, Tapani Ristaniemi
Second order impropriety based complex-valued algorithm for frequency-domain blind separation of convolutive speech mixtures. MLSP (2011)
Fengyu Cong, Zhaoshui He, Jarmo A. Hämäläinen, Andrzej Cichocki, Tapani Ristaniemi
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection. MLSP (2011)
Fengyu Cong, Tapani Ristaniemi
Data model conversion for independent component analysis to extract brain signals. iCAST (2011)
Fengyu Cong, Igor Kalyakin, Tapani Ristaniemi
Can back-projection fully resolve polarity indeterminacy of independent component analysis in study of event-related potential? Biomed. Signal Process. Control. 6 (4) (2011)
Mikko Perttunen, Oleksiy Mazhelis, Fengyu Cong, Mikko Kauppila, Teemu Leppänen, Jouni Kantola, Jussi Collin, Susanna Pirttikangas, Janne Haverinen, Tapani Ristaniemi, Jukka Riekki
Distributed Road Surface Condition Monitoring Using Mobile Phones. UIC (2011)

Fengyu Cong.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Fengyu Cong