Blind signal separation and reverberation cancelling with active sonar data. - Fengyu Cong; Yifan Hu; Xizhi Shi; Chi Hau Chen; Liangji Lin (ISSPA, 2005)

Blind speech signal separation based on non-stationary and colored characteristics. - Fengyu Cong; Yanxue Liang; Shaoling Ji; Yifan Hu; Xizhi Shi (ISSPA, 2005)

Non-negative matrix factorization Vs. FastICA on mismatch negativity of children. - Fengyu Cong; Zhilin Zhang 002; Igor Kalyakin; Tiina Huttunen-Scott; Heikki Lyytinen; Tapani Ristaniemi (IJCNN, 2009)

Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential. - Fengyu Cong; Anh Huy Phan 001; Heikki Lyytinen; Tapani Ristaniemi; Andrzej Cichocki (LVA/ICA, 2010)

Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials. - Fengyu Cong; Anh Huy Phan 001; Andrzej Cichocki; Heikki Lyytinen; Tapani Ristaniemi (IJCNN, 2010)

Concatenated trial based Hilbert-Huang transformation on event-related potentials. - Fengyu Cong; Tuomo Sipola; Xiaonan Xu; Tiina Huttunen-Scott; Heikki Lyytinen; Tapani Ristaniemi (IJCNN, 2010)

Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials. - Fengyu Cong; Igor Kalyakin; Anh Huy Phan 001; Andrzej Cichocki; Tiina Huttunen-Scott; Heikki Lyytinen; Tapani Ristaniemi (ISNN (2), 2010)

Single-Trial Based Independent Component Analysis on mismatch Negativity in Children. - Fengyu Cong; Igor Kalyakin; Tiina Huttunen-Scott; Hong Li; Heikki Lyytinen; Tapani Ristaniemi (Int. J. Neural Syst., 2010)

Data model conversion for independent component analysis to extract brain signals. - Fengyu Cong; Tapani Ristaniemi (iCAST, 2011)

A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA. - Jia-Chen Wang; Qiu-Hua Lin; Fengyu Cong; Vince D. Calhoun (iCAST, 2011)

How many single trials' EEG recordings are enough to extract children's brain activity of mismatch negativity by independent component analysis? - Fengyu Cong; Igor Kalyakin; Tapani Ristaniemi; Heikki Lyytinen (ISPA, 2011)

Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection. - Fengyu Cong; Zhaoshui He; Jarmo A. Hämäläinen; Andrzej Cichocki; Tapani Ristaniemi (MLSP, 2011)

Second order impropriety based complex-valued algorithm for frequency-domain blind separation of convolutive speech mixtures. - Fengyu Cong; Qiu-Hua Lin; Peng Jia; Xizhi Shi; Tapani Ristaniemi (MLSP, 2011)

Distributed Road Surface Condition Monitoring Using Mobile Phones. - Mikko Perttunen; Oleksiy Mazhelis; Fengyu Cong; Mikko Kauppila; Teemu Leppänen; Jouni Kantola; Jussi Collin; Susanna Pirttikangas; Janne Haverinen; Tapani Ristaniemi; Jukka Riekki (UIC, 2011)

Can back-projection fully resolve polarity indeterminacy of independent component analysis in study of event-related potential? - Fengyu Cong; Igor Kalyakin; Tapani Ristaniemi (Biomed. Signal Process. Control., 2011)

Fast and effective model order selection method to determine the number of sources in a linear transformation model. - Fengyu Cong; Asoke K. Nandi; Zhaoshui He; Andrzej Cichocki; Tapani Ristaniemi (EUSIPCO, 2012)

Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization. - Fengyu Cong; Anh Huy Phan 001; Qibin Zhao; Asoke K. Nandi; Vinoo Alluri; Petri Toiviainen; Hanna Poikonen; Minna Huotilainen; Andrzej Cichocki; Tapani Ristaniemi (EUSIPCO, 2012)

Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. - Fengyu Cong; Anh Huy Phan 001; Piia Astikainen; Qibin Zhao; Jari K. Hietanen; Tapani Ristaniemi; Andrzej Cichocki (LVA/ICA, 2012)

Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. - Fengyu Cong; Anh Huy Phan 001; Qibin Zhao; Qiang Wu 009; Tapani Ristaniemi; Andrzej Cichocki (ICONIP (3), 2012)

A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity. - Fengyu Cong; Aleksandr Aleksandrov; Veronika Knyazeva; Tatyana Deinekina; Tapani Ristaniemi (ISNN (1), 2012)

Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. - Fengyu Cong; Guoxu Zhou; Qibin Zhao; Qiang Wu 009; Asoke K. Nandi; Tapani Ristaniemi; Andrzej Cichocki (MLSP, 2012)

Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array. - Fengyu Cong; Anh Huy Phan 001; Qibin Zhao; Tiina Huttunen-Scott; Jukka Kaartinen; Tapani Ristaniemi; Heikki Lyytinen; Andrzej Cichocki (Int. J. Neural Syst., 2012)

Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Jing Fan; Fengyu Cong; Vince D. Calhoun (ChinaSIP, 2013)

Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously. - Qiangfeng Zhao; Junfeng Sun; Fengyu Cong; Shan Chen; Yingying Tang; Shanbao Tong (EMBC, 2013)

Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis. - Valeri Tsatsishvili; Fengyu Cong; Tuomas Puoliväli; Vinoo Alluri; Petri Toiviainen; Asoke K. Nandi; Elvira Brattico; Tapani Ristaniemi (ESANN, 2013)

Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. - Tuomas Puoliväli; Fengyu Cong; Vinoo Alluri; Qiu-Hua Lin; Petri Toiviainen; Asoke K. Nandi; Elvira Brattico; Tapani Ristaniemi (ICASSP, 2013)

Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection. - Fengyu Cong; Hannu Hautakangas; Jukka Nieminen; Oleksiy Mazhelis; Mikko Perttunen; Jukka Riekki; Tapani Ristaniemi (ISNN (1), 2013)

Diffusion map for clustering fMRI spatial maps extracted by independent component analysis. - Tuomo Sipola; Fengyu Cong; Tapani Ristaniemi; Vinoo Alluri; Petri Toiviainen; Elvira Brattico; Asoke K. Nandi (MLSP, 2013)

Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. - Fengyu Cong; Anh Huy Phan 001; Piia Astikainen; Qibin Zhao; Qiang Wu 009; Jari K. Hietanen; Tapani Ristaniemi; Andrzej Cichocki (Int. J. Neural Syst., 2013)

Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features. - 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 (IEEE Trans. Multim., 2013)

Generation of stimulus features for analysis of FMRI during natural auditory experiences. - Valeri Tsatsishvili; Fengyu Cong; Tapani Ristaniemi; Petri Toiviainen; Vinoo Alluri; Elvira Brattico; Asoke K. Nandi (EUSIPCO, 2014)

Multi-domain collaborative spectrum sensing and power control in presence of multiple primary users. - Zheng Chang 001; Yang Liu 017; Fengyu Cong; Xijuan Guo; Zhenyu Zhou 001 (ICCS, 2014)

Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. - Fengyu Cong; Guoxu Zhou; Piia Astikainen; Qibin Zhao; Qiang Wu 009; Asoke K. Nandi; Jari K. Hietanen; Tapani Ristaniemi; Andrzej Cichocki (Int. J. Neural Syst., 2014)

Advanced Signal Processing on Brain Event-Related Potentials - Filtering ERPs in Time, Frequency and Space Domains Sequentially and Simultaneously - Fengyu Cong; Tapani Ristaniemi; Heikki Lyytinen (Advanced Signal Processing on Brain Event-Related Potentials, 2015)

Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data. - Valeri Tsatsishvili; Fengyu Cong; Petri Toiviainen; Tapani Ristaniemi (IJCNN, 2015)

Wood Surface Quality Detection and Classification Using Gray Level and Texture Features. - Deqing Wang; Zengwu Liu; Fengyu Cong (ISNN, 2015)

An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ICASSP, 2016)

Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. - Namgil Lee; Anh Huy Phan 001; Fengyu Cong; Andrzej Cichocki (ICONIP (3), 2016)

Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses. - Tiantian Yang; Fengyu Cong; Zheng Chang 001; Youyi Liu; Tapani Ristaniemi; Hong Li (ISNN, 2016)

Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. - Deqing Wang; Fengyu Cong; Qibin Zhao; Petri Toiviainen; Asoke K. Nandi; Minna Huotilainen; Tapani Ristaniemi; Andrzej Cichocki (MLSP, 2016)

Post-ICA phase de-noising for resting-state complex-valued FMRI data. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ICASSP, 2017)

Model order effects on independent vector analysis applied to complex-valued fMRI data. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Yong-Gang Chen; Fengyu Cong; Vince D. Calhoun (ISBI, 2017)

Cluster Aggregation for Analyzing Event-Related Potentials. - Reza Mahini; Tianyi Zhou 005; Peng Li; Asoke K. Nandi; Huanjie Li; Hong Li; Fengyu Cong (ISNN (2), 2017)

Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data. - Ce Zhang; Qiu-Hua Lin; Chao-Ying Zhang; Ying-Guang Hao; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ISNN (2), 2017)

Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition. - Deqing Wang; Xiaoyu Wang; Yongjie Zhu; Petri Toiviainen; Minna Huotilainen; Tapani Ristaniemi; Fengyu Cong (ISNN, 2018)

Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study. - Deqing Wang; Fengyu Cong; Tapani Ristaniemi (CoRR, 2018)

Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain. - Chi Zhang 002; Fengyu Cong; Tuomo Kujala; Wenya Liu; Jia Liu; Tiina Parviainen; Tapani Ristaniemi (Entropy, 2018)

Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. - Xiao-Feng Gong; Qiu-Hua Lin; Fengyu Cong; Lieven De Lathauwer (IEEE Trans. Signal Process., 2018)

Detection of Myocardial Infarction from Multi-lead ECG using Dual-Q Tunable Q-Factor Wavelet Transform. - Jia Liu; Chi Zhang 002; Tapani Ristaniemi; Fengyu Cong (EMBC, 2019)

Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm. - Deqing Wang; Fengyu Cong; Tapani Ristaniemi (ICASSP, 2019)

Fast Implementation of Double-coupled Nonnegative Canonical Polyadic Decomposition. - Xiulin Wang; Tapani Ristaniemi; Fengyu Cong (ICASSP, 2019)

Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition. - Yongjie Zhu; Xueqiao Li; Tapani Ristaniemi; Fengyu Cong (ICASSP, 2019)

An Automatic Sleep Scoring Toolbox: Multi-modality of Polysomnography Signals' Processing. - Rui Yan 003; Fan Li; Xiaoyu Wang; Tapani Ristaniemi; Fengyu Cong (ICETE (1), 2019)

Automatic Sleep Scoring Toolbox and Its Application in Sleep Apnea. - Rui Yan 003; Fan Li; Xiaoyu Wang; Tapani Ristaniemi; Fengyu Cong (ICETE (Selected Papers), 2019)

Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. - Yue Qiu; Qiu-Hua Lin; Li-Dan Kuang; Wen-Da Zhao; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ISNN (2), 2019)

Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis. - Xiulin Wang; Chi Zhang 002; Tapani Ristaniemi; Fengyu Cong (ISNN (2), 2019)

Multi-modality of polysomnography signals' fusion for automatic sleep scoring. - Rui Yan 003; Chi Zhang 002; Karen Spruyt; Lai Wei; Zhiqiang Wang; Lili Tian; Xueqiao Li; Tapani Ristaniemi; Jihui Zhang; Fengyu Cong (Biomed. Signal Process. Control., 2019)

Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions. - Xiao-Feng Gong; Qiu-Hua Lin; Fengyu Cong; Lieven De Lathauwer (Signal Process. Image Commun., 2019)

Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data. - Xiulin Wang; Wenya Liu; Fengyu Cong; Tapani Ristaniemi (EUSIPCO, 2020)

One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals. - Xiaoshuang Wang; Tapani Ristaniemi; Fengyu Cong (EUSIPCO, 2020)

A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series. - Rui Yan 003; Fan Li; Dongdong Zhou; Tapani Ristaniemi; Fengyu Cong (EUSIPCO, 2020)

Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition. - Wenya Liu; Xiulin Wang; Tapani Ristaniemi; Fengyu Cong (ICONIP (5), 2020)

Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling. - Zhonghua Chen; Tapani Ristaniemi; Fengyu Cong; Hongkai Wang (ISNN, 2020)

Optimal imaging of multi-channel EEG features based on a novel clustering technique for driver fatigue detection. - Chi Zhang 002; Lina Sun; Fengyu Cong; Tuomo Kujala; Tapani Ristaniemi; Tiina Parviainen (Biomed. Signal Process. Control., 2020)

Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition. - Jia Liu; Chi Zhang 002; Yongjie Zhu; Tapani Ristaniemi; Tiina Parviainen; Fengyu Cong (Comput. Methods Programs Biomed., 2020)

Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness. - Chi Zhang 002; Jinfei Ma; Jian Zhao 029; Pengbo Liu 007; Fengyu Cong; Tianjiao Liu; Ying Li; Lina Sun; Ruosong Chang (Entropy, 2020)

Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech. - Yongjie Zhu; Jia Liu; Tapani Ristaniemi; Fengyu Cong (Int. J. Neural Syst., 2020)

Stability-driven non-negative matrix factorization-based approach for extracting dynamic network from resting-state EEG. - Tianyi Zhou 005; Jiannan Kang; Fengyu Cong; Xiaoli Li 002 (Neurocomputing, 2020)

Discovering dynamic task-modulated functional networks with specific spectral modes using MEG. - Yongjie Zhu; Jia Liu; Chaoxiong Ye; Klaus Mathiak; Piia Astikainen; Tapani Ristaniemi; Fengyu Cong (NeuroImage, 2020)

Rapid Yeast Cell Viability Analysis by Using a Portable Microscope Based on the Fiber Optic Array and Simple Image Processing. - Weiming Wang; Hang Liu; Yan Yu; Fengyu Cong; Jun Yu (Sensors, 2020)

Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (IEEE Trans. Medical Imaging, 2020)

LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms. - Dongdong Zhou; Qi Xu; Jian Wang 112; Jiacheng Zhang; Guoqiang Hu; Lauri Kettunen; Zheng Chang 001; Fengyu Cong (EMBC, 2021)

Alpha Band Dysconnectivity Networks in Major Depression during Resting State. - Wenya Liu; Xiulin Wang; Fengyu Cong; Timo Hämäläinen 002 (EUSIPCO, 2021)

Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Xiao-Feng Gong; Fengyu Cong; Vince D. Calhoun (ICASSP, 2021)

End-to-end sleep staging using convolutional neural network in raw single-channel EEG. - Fan Li; Rui Yan 003; Reza Mahini; Lai Wei; Zhiqiang Wang; Klaus Mathiak; Rong Liu; Fengyu Cong (Biomed. Signal Process. Control., 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]. - Jia Liu; Chi Zhang 002; Yongjie Zhu; Tapani Ristaniemi; Tiina Parviainen; Fengyu Cong (Comput. Methods Programs Biomed., 2021)

Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression. - Yongjie Zhu; Xiaoyu Wang; Klaus Mathiak; Petri Toiviainen; Tapani Ristaniemi; Jing Xu; Yi Chang; Fengyu Cong (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). - Yongjie Zhu; Xiaoyu Wang; Klaus Mathiak; Petri Toiviainen; Tapani Ristaniemi; Jing Xu; Yi Chang; Fengyu Cong (Int. J. Neural Syst., 2021)

Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD. - Jana Zweerings; Kiira Sarasjärvi; Krystyna Anna Mathiak; Jorge Iglesias-Fuster; Fengyu Cong; Mikhail Zvyagintsev; Klaus Mathiak (Int. J. Neural Syst., 2021)

One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG. - Xiaoshuang Wang; Xiulin Wang; Wenya Liu; Zheng Chang 001; Tommi Kärkkäinen; Fengyu Cong (Neurocomputing, 2021)

Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme. - Deqing Wang; Zheng Chang 001; Fengyu Cong (Neural Comput. Appl., 2021)

Spatiotemporal Dynamical Analysis of Brain Activity During Mental Fatigue Process. - Chi Zhang 002; Lina Sun; Fengyu Cong; Tapani Ristaniemi (IEEE Trans. Cogn. Dev. Syst., 2021)

Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-Resolution Multi-Organ Shape Prior Knowledge Model. - Zhonghua Chen; Hongkai Wang; Fengyu Cong; Lauri Kettunen (CIPAE, 2022)

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. - Qi Xu; Dongdong Zhou; Jian Wang 112; Jiangrong Shen; Lauri Kettunen; Fengyu Cong (IJCNN, 2022)

Seizure Prediction Using EEG Channel Selection Method. - Xiaoshuang Wang; Tommi Kärkkäinen; Fengyu Cong (MLSP, 2022)

Quantitative evaluation of short-term resting-state brain networks for primary insomnia diagnosis. - Chi Zhang; Lina Sun; Shuang Ge; Yi Chang; Mingyan Jin; Yang Xiao; Hanbing Gao; Lin Wang; Fengyu Cong (Biomed. Signal Process. Control., 2022)

SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG. - Dongdong Zhou; Jian Wang 112; Guoqiang Hu; Jiacheng Zhang; Fan Li; Rui Yan 003; Lauri Kettunen; Zheng Chang 001; Qi Xu; Fengyu Cong (Biomed. Signal Process. Control., 2022)

Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG. - Xin Zuo; Chi Zhang 002; Timo Hämäläinen 002; Hanbing Gao; Yu Fu; Fengyu Cong (Entropy, 2022)

One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG. - Xiaoshuang Wang; Guanghui Zhang; Ying Wang; Lin Yang; Zhanhua Liang; Fengyu Cong (Int. J. Neural Syst., 2022)

Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data. - Guoqiang Hu; Huanjie Li; Wei Zhao; Yuxing Hao; Zonglei Bai; Lisa D. H. Nickerson; Fengyu Cong (NeuroImage, 2022)

Exploring Oscillatory Dysconnectivity Networks in Major Depression During Resting State Using Coupled Tensor Decomposition. - Wenya Liu; Xiulin Wang; Timo Hämäläinen 002; Fengyu Cong (IEEE Trans. Biomed. Eng., 2022)

Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification. - Dongdong Zhou; Qi Xu; Jian Wang 112; Hongming Xu 002; Lauri Kettunen; Zheng Chang 001; Fengyu Cong (IEEE Trans. Instrum. Meas., 2022)

Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG. - Xin Zuo; Chi Zhang 002; Fengyu Cong; Jian Zhao 029; Timo Hämäläinen 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (IEEE Trans. Medical Imaging, 2022)

Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities. - Huashuai Xu; Huanjie Li; Tommi Kärkkäinen; Fengyu Cong (CIPAE, 2023)

Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRI. - Xinyu Hao; Hongming Xu 002; Nannan Zhao; Tao Yu; Timo Hämäläinen 002; Fengyu Cong (EMBC, 2023)

Driver Distraction Detection Based on EEG Feature Fusion Using Random Forest. - Xin Zuo; Chi Zhang 002; Jian Zhao 029; Timo Hämäläinen 002; Fengyu Cong (ICBSP, 2023)

Multiple Instance Learning for Lymph Node Metastasis Prediction from Cervical Cancer MRI. - Shan Jin; Hongming Xu 002; Yue Dong; Xinyu Hao; Fengying Qin; Ranran Wang; Fengyu Cong (ISBI, 2023)

Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation. - Xiulin Wang; Tapani Ristaniemi; Fengyu Cong (CoRR, 2023)

Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. - Shan Jin; Hongming Xu 002; Yue Dong; Xinyu Hao; Fengying Qin; Qi Xu; Yong Zhu; Fengyu Cong (Int. J. Imaging Syst. Technol., 2023)

Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture. - Hang Liu; Shaowei Cui; Xiaohui Zhao; Fengyu Cong (Biomed. Signal Process. Control., 2023)

A deep learning model developed for sleep apnea detection: A multi-center study. - Fan Li; Yan Xu; Junjun Chen; Ping Lu; Bin Zhang; Fengyu Cong (Biomed. Signal Process. Control., 2023)

Ensemble deep clustering analysis for time window determination of event-related potentials. - Reza Mahini; Fan Li; Mahdi Zarei; Asoke K. Nandi; Timo Hämäläinen 002; Fengyu Cong (Biomed. Signal Process. Control., 2023)

Weighted Errors-in-Variables Modelling for Detection of Cortico-Muscular Couplings. - Zhenghao Guo; Verity M. McClelland; Wei Dai 001; Fengyu Cong; Zoran Cvetkovic (EMBC, 2024)

Channel Stacking: A Rapid Classification Method for Parkinson's Disease Based on EEG Data. - Mingliang Zhang; Timo Hämäläinen 002; Fengyu Cong; Hang Liu (EMBC, 2024)

Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer. - Mingkang Wang; Tong Wang; Fengyu Cong; Cheng Lu 001; Hongming Xu 002 (MICCAI (1), 2024)

A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Bin-Hua Zhao; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (Biomed. Signal Process. Control., 2024)

Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI. - Xinyu Hao; Hongming Xu 002; Nannan Zhao; Tao Yu; Timo Hämäläinen 002; Fengyu Cong (Biomed. Signal Process. Control., 2024)

FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning. - Yukai Cai; Hang Liu; Xiulin Wang; Hongjin Li; Ziyi Wang; Chuanshuai Yang; Fengyu Cong (CoRR, 2024)

Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data. - Guanghui Zhang; Carlos D. Carrasco; Kurt Winsler; Brett Bahle; Fengyu Cong; Steven J. Luck (NeuroImage, 2024)

Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation. - Dongdong Zhou; Qi Xu; Jiacheng Zhang; Lei Wu; Hongming Xu 002; Lauri Kettunen; Zheng Chang 001; Qiang Zhang 008; Fengyu Cong (IEEE Trans. Instrum. Meas., 2024)

Global Field Time-Frequency Representation-Based Discriminative Similarity Analysis of Passive Auditory ERPs for Diagnosis of Disorders of Consciousness. - Xiaoyu Wang; Yi Yang; Geoffrey Laforge; Xueling Chen; Loretta Norton; Adrian M. Owen; Jianghong He; Fengyu Cong (IEEE Trans. Biomed. Eng., 2024)

Reconfiguration of Cognitive Control Networks During a Long-Duration Flanker Task. - Jia Liu; Yongjie Zhu; Zheng Chang 001; Tiina Parviainen; Christian Antfolk; Timo Hämäläinen 002; Fengyu Cong (IEEE Trans. Cogn. Dev. Syst., 2024)

Combination of Channel Reordering Strategy and Dual CNN-LSTM for Epileptic Seizure Prediction Using Three iEEG Datasets. - Xiaoshuang Wang; Ziheng Gao; Meiyan Zhang; Ying Wang; Lin Yang; Jianwen Lin; Tommi Kärkkäinen; Fengyu Cong (IEEE J. Biomed. Health Informatics, 2024)

Mobile Phone Use Driver Distraction Detection Based on MSaE of Multi-Modality Physiological Signals. - Xin Zuo; Chi Zhang 002; Fengyu Cong; Jian Zhao 029; Timo Hämäläinen 002 (IEEE Trans. Intell. Transp. Syst., 2024)

SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks. - Wei Miao; Jiangrong Shen; Qi Xu; Timo Hämäläinen 002; Yi Xu 008; Fengyu Cong (AAAI, 2025)

Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification. - Qiao Chen; Hongming Xu 002; Xinyu Hao; Qibin Zhang; Huamin Qin; Tommi Kärkkäinen; Fengyu Cong (CBMS, 2025)

ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining. - Tong Wang; Mingkang Wang; Zhongze Wang; Hongkai Wang; Qi Xu; Fengyu Cong; Hongming Xu 002 (CVPR, 2025)

Distributed data-privacy preserving federated learning method for sleep stage classification. - Hongjin Li; Xiaohui Zhao; Hang Liu; Ziyi Wang; Yukai Cai; Chuanshuai Yang; Fengyu Cong (Biomed. Signal Process. Control., 2025)

Point out the mistakes: An HMM-based anomaly detection algorithm for sleep stage classification. - Ziyi Wang; Hang Liu; Yukai Cai; Hongjin Li; Chuanshuai Yang; Xinlei Zhang; Fengyu Cong (Biomed. Signal Process. Control., 2025)

When multiple instance learning meets foundation models: Advancing histological whole slide image analysis. - Hongming Xu 002; Mingkang Wang; Duanbo Shi; Huamin Qin; Yunpeng Zhang; Zaiyi Liu; Anant Madabhushi; Peng Gao; Fengyu Cong; Cheng Lu 001 (Medical Image Anal., 2025)

Characterizing the distribution of neural and non-neural components in multi-echo EPI data across echo times based on tensor-ICA. - Tengfei Feng; Halim Ibrahim Baqapuri; Jana Zweerings; Huanjie Li; Fengyu Cong; Klaus Mathiak (NeuroImage, 2025)

Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer. - Tong Wang; Su-Jin Shin; Mingkang Wang; Qi Xu; Guiyang Jiang; Fengyu Cong; Jeonghyun Kang; Hongming Xu 002 (IEEE J. Biomed. Health Informatics, 2025)

PA-Rank: A GAN and Reinforcement Learning Powered Framework for Multimetric Anomaly Detection and Causal Diagnosis. - Zhaowen Wang; Yong Zhou; YangSiyu Zhang; Fengyu Cong; Dongdong Zhou; Zhijian An (IEEE Internet Things J., 2025)

Uncovering Brain Network Modules in Major Depression During Naturalistic Music Perception With Block Term Decomposition. - Yongjie Zhu; Yuxing Hao; Jia Liu; Fengyu Cong (IEEE Trans. Cogn. Dev. Syst., 2025)