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Fengyu Cong
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Books and Theses
- 2015
- [b1]Fengyu Cong, Tapani Ristaniemi, Heikki Lyytinen:
Advanced Signal Processing on Brain Event-Related Potentials - Filtering ERPs in Time, Frequency and Space Domains Sequentially and Simultaneously. WorldScientific 2015, ISBN 9789814623087, pp. 1-224
Journal Articles
- 2024
- [j45]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: 106164 (2024) - [j44]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: 106471 (2024) - [j43]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: 120625 (2024) - [j42]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): 1364-1373 (2024) - [j41]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): 1820-1830 (2024) - [j40]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: 1-10 (2024) - 2023
- [j39]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: 104581 (2023) - [j38]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: 104689 (2023) - [j37]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): 105202 (2023) - [j36]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): 362-377 (2023) - 2022
- [j35]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: 103498 (2022) - [j34]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: 103592 (2022) - [j33]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): 1281 (2022) - [j32]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): 2150048:1-2150048:16 (2022) - [j31]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: 119193 (2022) - [j30]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): 2691-2700 (2022) - [j29]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: 1-12 (2022) - [j28]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): 19309-19322 (2022) - [j27]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): 667-679 (2022) - 2021
- [j26]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: 102203 (2021) - [j25]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: 105785 (2021) - [j24]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): 2150001:1-2150001:14 (2021) - [j23]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): 2175002:1-2175002 (2021) - [j22]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): 2150043:1-2150043:18 (2021) - [j21]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: 212-222 (2021) - [j20]Deqing Wang
, Zheng Chang, Fengyu Cong
:
Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme. Neural Comput. Appl. 33(24): 17369-17387 (2021) - [j19]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): 593-606 (2021) - 2020
- [j18]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: 102103 (2020) - [j17]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: 105120 (2020) - [j16]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): 787 (2020) - [j15]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): 2050007:1-2050007:15 (2020) - [j14]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: 123-131 (2020) - [j13]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: 116924 (2020) - [j12]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): 2092 (2020) - [j11]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): 844-853 (2020) - 2019
- [j10]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: 14-23 (2019) - [j9]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: 22-36 (2019) - 2018
- [j8]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): 311 (2018) - [j7]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): 3475-3490 (2018) - 2014
- [j6]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) - 2013
- [j5]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) - [j4]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): 1060-1069 (2013) - 2012
- [j3]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) - 2011
- [j2]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): 422-426 (2011) - 2010
- [j1]Fengyu Cong
, Igor Kalyakin, Tiina Huttunen-Scott, Hong Li, Heikki Lyytinen, Tapani Ristaniemi:
Single-Trial Based Independent Component Analysis on mismatch Negativity in Children. Int. J. Neural Syst. 20(4): 279-292 (2010)
Conference and Workshop Papers
- 2023
- [c61]Huashuai Xu, Huanjie Li, Tommi Kärkkäinen
, Fengyu Cong:
Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities. CIPAE 2023: 726-732 - [c60]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: 1-4 - [c59]Xin Zuo
, Chi Zhang
, Jian Zhao
, Timo Hämäläinen
, Fengyu Cong
:
Driver Distraction Detection Based on EEG Feature Fusion Using Random Forest. ICBSP 2023: 104-109 - [c58]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: 1-4 - 2022
- [c57]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: 349-353 - [c56]Qi Xu, Dongdong Zhou
, Jian Wang
, Jiangrong Shen, Lauri Kettunen
, Fengyu Cong:
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. IJCNN 2022: 1-6 - [c55]Xiaoshuang Wang, Tommi Kärkkäinen
, Fengyu Cong:
Seizure Prediction Using EEG Channel Selection Method. MLSP 2022: 1-6 - 2021
- [c54]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: 43-46 - [c53]Wenya Liu, Xiulin Wang
, Fengyu Cong
, Timo Hämäläinen
:
Alpha Band Dysconnectivity Networks in Major Depression during Resting State. EUSIPCO 2021: 1155-1158 - [c52]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: 1110-1114 - 2020
- [c51]Rui Yan, Fan Li, Dongdong Zhou
, Tapani Ristaniemi, Fengyu Cong
:
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series. EUSIPCO 2020: 1090-1094 - [c50]Xiaoshuang Wang, Tapani Ristaniemi, Fengyu Cong
:
One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals. EUSIPCO 2020: 1387-1391 - [c49]Xiulin Wang
, Wenya Liu, Fengyu Cong
, Tapani Ristaniemi:
Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data. EUSIPCO 2020: 2125-2129 - [c48]Wenya Liu, Xiulin Wang
, Tapani Ristaniemi, Fengyu Cong
:
Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition. ICONIP (5) 2020: 361-369 - [c47]Zhonghua Chen, Tapani Ristaniemi, Fengyu Cong
, Hongkai Wang:
Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling. ISNN 2020: 74-84 - 2019
- [c46]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: 1496-1499 - [c45]Deqing Wang
, Fengyu Cong
, Tapani Ristaniemi:
Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm. ICASSP 2019: 3457-3461 - [c44]Xiulin Wang
, Tapani Ristaniemi, Fengyu Cong
:
Fast Implementation of Double-coupled Nonnegative Canonical Polyadic Decomposition. ICASSP 2019: 8588-8592 - [c43]Yongjie Zhu, Xueqiao Li
, Tapani Ristaniemi, Fengyu Cong
:
Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition. ICASSP 2019: 8593-8597 - [c42]Rui Yan, Fan Li, Xiaoyu Wang, Tapani Ristaniemi, Fengyu Cong
:
Automatic Sleep Scoring Toolbox and Its Application in Sleep Apnea. ICETE (Selected Papers) 2019: 256-275 - [c41]Rui Yan, Fan Li, Xiaoyu Wang, Tapani Ristaniemi, Fengyu Cong:
An Automatic Sleep Scoring Toolbox: Multi-modality of Polysomnography Signals' Processing. ICETE (1) 2019: 307-315 - [c40]Xiulin Wang
, Chi Zhang, Tapani Ristaniemi, Fengyu Cong
:
Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis. ISNN (2) 2019: 180-189 - [c39]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: 540-547 - 2018
- [c38]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: 789-799 - 2017
- [c37]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: 856-860 - [c36]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: 81-84 - [c35]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: 507-515 - [c34]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: 559-566 - 2016
- [c33]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: 714-718 - [c32]Namgil Lee, Anh Huy Phan
, Fengyu Cong
, Andrzej Cichocki:
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. ICONIP (3) 2016: 87-95 - [c31]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: 30-39 - [c30]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: 1-6 - 2015
- [c29]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: 1-6 - [c28]Deqing Wang
, Zengwu Liu, Fengyu Cong
:
Wood Surface Quality Detection and Classification Using Gray Level and Texture Features. ISNN 2015: 248-257 - 2014
- [c27]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: 2490-2494 - [c26]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: 369-373 - 2013
- [c25]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: 269-272 - [c24]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: 5986-5989 - [c23]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 - [c22]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: 1310-1314 - [c21]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: 291-299 - [c20]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: 1-6 - 2012
- [c19]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: 494-498 - [c18]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: 1870-1874 - [c17]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: 502-510 - [c16]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: 166-173 - [c15]Fengyu Cong
, Aleksandr Aleksandrov
, Veronika Knyazeva
, Tatyana Deinekina, Tapani Ristaniemi:
A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity. ISNN (1) 2012: 411-421 - [c14]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: 1-6 - 2011
- [c13]Jia-Chen Wang, Qiu-Hua Lin, Fengyu Cong
, Vince D. Calhoun:
A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA. iCAST 2011: 154-159 - [c12]Fengyu Cong
, Tapani Ristaniemi:
Data model conversion for independent component analysis to extract brain signals. iCAST 2011: 187-192 - [c11]Fengyu Cong, Igor Kalyakin, Tapani Ristaniemi, Heikki Lyytinen:
How many single trials' EEG recordings are enough to extract children's brain activity of mismatch negativity by independent component analysis? ISPA 2011: 546-551 - [c10]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: 1-6 - [c9]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: 1-6 - [c8]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: 64-78 - 2010
- [c7]Fengyu Cong
, Anh Huy Phan
, Heikki Lyytinen, Tapani Ristaniemi, Andrzej Cichocki
:
Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential. LVA/ICA 2010: 620-628 - [c6]Fengyu Cong
, Anh Huy Phan
, Andrzej Cichocki
, Heikki Lyytinen, Tapani Ristaniemi:
Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials. IJCNN 2010: 1-5 - [c5]Fengyu Cong
, Tuomo Sipola
, Xiaonan Xu, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
Concatenated trial based Hilbert-Huang transformation on event-related potentials. IJCNN 2010: 1-5 - [c4]Fengyu Cong
, Igor Kalyakin, Anh Huy Phan
, Andrzej Cichocki
, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials. ISNN (2) 2010: 385-391 - 2009
- [c3]Fengyu Cong
, Zhilin Zhang, Igor Kalyakin, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
Non-negative matrix factorization Vs. FastICA on mismatch negativity of children. IJCNN 2009: 586-590 - 2005
- [c2]Fengyu Cong, Yanxue Liang, Shaoling Ji, Yifan Hu, Xizhi Shi:
Blind speech signal separation based on non-stationary and colored characteristics. ISSPA 2005: 491-494 - [c1]Fengyu Cong
, Yifan Hu, Xizhi Shi, Chi Hau Chen, Liangji Lin:
Blind signal separation and reverberation cancelling with active sonar data. ISSPA 2005: 523-526
Editorship
- 2017
- [e2]Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei:
Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10261, Springer 2017, ISBN 978-3-319-59071-4 [contents] - [e1]Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei:
Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10262, Springer 2017, ISBN 978-3-319-59080-6 [contents]
Informal and Other Publications
- 2024
- [i4]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 abs/2404.11890 (2024) - 2023
- [i3]Xiulin Wang, Tapani Ristaniemi, Fengyu Cong:
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation. CoRR abs/2302.05119 (2023) - 2018
- [i2]Deqing Wang
, Fengyu Cong, Tapani Ristaniemi:
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study. CoRR abs/1812.10637 (2018) - 2013
- [i1]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 abs/1306.1350 (2013)
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
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