Jianting Cao

发表

An empirical EEG analysis in brain death diagnosis for adults

A. Cichocki, Zhe Chen, Jianting Cao, 2008, Cognitive Neurodynamics.

Sparse Representation and Its Applications in Blind Source Separation

Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, 2003, NIPS.

Semiparametric Approach to Blind Deconvolution

Liqing Zhang, Shun-ichi Amari, Jianting Cao, 1999 .

A stable and robust ICA algorithm based on t-distribution and generalized Gaussian distribution models

Noboru Murata, Jianting Cao, N. Murata, 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

Neural Network Models for Blind Separation of Time Delayed and Convolved Signals

Shun-ichi Amari, Jianting Cao, Andrzej Cichocki, 1997 .

Single-Trial Magnetoencephalographic Data Decomposition and Localization Based on Independent Component Analysis Approach

Tsunehiro Takeda, Andrzej Cichocki, Shun-ichi Amari, 2000 .

Tensor denoising using Bayesian CP factorization

Jianting Cao, Qibin Zhao, Lihua Gui, 2016, 2016 Sixth International Conference on Information Science and Technology (ICIST).

An Empirical Quantitative EEG Analysis for Evaluating Clinical Brain Death

Zhe Chen, Jianting Cao, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Analysis of Deep Coma and Brain Death Based on Phase Synchronization with EEG

Jianting Cao, W. Kong, Jianhai Zhang, 2018, 2018 14th IEEE International Conference on Signal Processing (ICSP).

ICA and Complexity Measures of EEG Analysis in Brain Death Determination

Zhe Chen, Jianting Cao, 2008 .

Image and Video Completion by Using Bayesian Tensor Decomposition

Jianting Cao, Qibin Zhao, Xuyang Zhao, 2018 .

Time-Dependent Approximate and Sample Entropy Measures for Brain Death Diagnosis

Rubin Wang, Jianting Cao, L. Ni, 2015 .

An Intelligent Data Processing Method for Residential Load Analysis

Jianting Cao, Dong-sheng Wang, Gaochao Cui, 2016 .

Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation

H. Sugano, Jianting Cao, Guoxu Zhou, 2022, Cognitive Neurodynamics.

Multidimensional clinical data denoising via Bayesian CP factorization

Jianting Cao, Qianchuan Zhao, Lihua Gui, 2019, Science China Technological Sciences.

A robust approach to independent component analysis of signals with high-level noise measurements

Andrzej Cichocki, Shun-ichi Amari, Noboru Murata, 2003, IEEE Trans. Neural Networks.

Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization

Andrzej Cichocki, Shun-ichi Amari, Noboru Murata, 2002, Neurocomputing.

CLASSIFICATION OF SINGLE TRIAL EEG SIGNALS BY A COMBINED PRINCIPAL + INDEPENDENT COMPONENT ANALYSIS AND PROBABILISTIC NEURAL NETWORK APPROACH

Jianting Cao, Gen Hori, Hovagim Bakardjian, 2003 .

Modelling of brain consciousness based on collaborative adaptive filters

Ling Li, Danilo P. Mandic, Yili Xia, 2012, Neurocomputing.

Low tensor-train rank with total variation for magnetic resonance imaging reconstruction

QiPeng Chen, JianTing Cao, Jianting Cao, 2021, Science China Technological Sciences.

Synchronization study in ring-like and grid-like neuronal networks

Rubin Wang, Jianting Cao, Ying Du, 2012, Cognitive Neurodynamics.

Discussion on Rhythmic Gait Movement Affected by Cerebral Cortex Signal

Rubin Wang, Jianting Cao, Zhikang Zhang, 2011 .

Analyzing inner and outer synchronization between two coupled discrete-time networks with time delays

Rubin Wang, Weigang Sun, Weixiang Wang, 2010, Cognitive Neurodynamics.

Detection of the human-activity using the FCM

Jianting Cao, J. Murakami, S.-i. Ito, 2007, 2007 International Conference on Control, Automation and Systems.

Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion

Longhao Yuan, Qibin Zhao, Jianting Cao, 2019, Machine Learning.

A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG

Yong Peng, Na Zhang, Wanzeng Kong, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population

Rubin Wang, Jianting Cao, Xiaodan Zhang, 2010, Neurocomputing.

Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms

Toshihisa Tanaka, Andrzej Cichocki, Donna Erickson, 2011, Comput. Hum. Behav..

Multichannel spectral pattern separation - An EEG processing application -

Toshihisa Tanaka, Andrzej Cichocki, Danilo P. Mandic, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Brain-Computer Interface System Using Approximate Entropy and EMD Techniques

Toshihisa Tanaka, Wei Zhou, Rubin Wang, 2010, ICSI.

Dynamic multivariate multiscale entropy based analysis on brain death diagnosis

Rubin Wang, Jianting Cao, Li Ni, 2015 .

Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion pdf

Chao Li, Danilo P. Mandic, Jianting Cao, 2018, AAAI.

A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma

Andrzej Cichocki, Jianting Cao, Qibin Zhao, 2017, ICONIP.

P300 Oddball Task and Classification Based on Support Vector Machine for BCI System

Gao Chao Cui, Jian Ting Cao, Jianting Cao, 2013 .

Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition

Toshihisa Tanaka, Jianting Cao, Qibin Zhao, 2019, ISNN.

Data Fusion via Fission for the Analysis of Brain Death

Danilo P. Mandic, David Looney, Jianting Cao, 2010 .

A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features

Andrzej Cichocki, Jianting Cao, Jianhai Zhang, 2019, Sensors.

A Human-Computer Control System Based on Intelligent Recognition of Eye Movements and Its Application in Wheelchair Driving

Kousuke Ishikawa, Jianting Cao, Wenping Luo, 2021, Multimodal Technol. Interact..

Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition

Jianting Cao, Qibin Zhao, Qiang Wu, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

High-Order Tensor Completion for Data Recovery via Sparse Tensor-Train Optimization

Jianting Cao, Qibin Zhao, Longhao Yuan, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A robust spatio-temporal processing for multipath environments with an antenna array

M. Tanaka, Jianting Cao, Yoshio Konno, 2005 .

Assessment of Nonlinearity in Brain Electrical Activity: A DVV Approach

Mo Chen, Danilo P. Mandic, Tomasz M. Rutkowski, 2007 .

EEG data analysis based on EMD for coma and quasi-brain-death patients

Toshihisa Tanaka, Rubin Wang, Jianting Cao, 2011, J. Exp. Theor. Artif. Intell..

Multidimensional clinical data denoising via Bayesian CP factorization

Jianting Cao, Jianhai Zhang, Li Zhu, 2020, Science China Technological Sciences.

Brain image completion by Bayesian tensor decomposition

Jianting Cao, Qibin Zhao, Lihua Gui, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG

Toshihisa Tanaka, Jianting Cao, Qibin Zhao, 2021, Neural plasticity.

Common Spatial Pattern Using Multivariate EMD for EEG Classification

Cheng Zhang, Jianting Cao, Long Zhang, 2011 .

Analysis of Brain-Death EEG Data Using 2T-EMD Algorithm

Toshihisa Tanaka, Jianting Cao, Gaochao Cui, 2015, 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Patients' EEG Data Analysis via Spectrogram Image with a Convolution Neural Network

Longhao Yuan, Jianting Cao, Jianting Cao, 2017, KES-IDT.

A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli

Liqing Zhang, Andrzej Cichocki, Jianting Cao, 2011, ICONIP.

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction

Chao Li, Jianting Cao, Qibin Zhao, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Brain-Machine Coupled Learning Method for Facial Emotion Recognition

Jianting Cao, Xuanyu Jin, Weichen Dai, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Classification of Epileptic IEEG Signals by CNN and Data Augmentation

Andong Wang, Zihao Huang, Jianting Cao, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Descriptive statistical analysis based on patientsâ€™ EEG energy in coma and quasi-brain-death state

Jianting Cao, Y. Miao, 2018 .

CTNN: A Convolutional Tensor-Train Neural Network for Multi-Task Brainprint Recognition

Yong Peng, Xianghao Kong, Qibin Zhao, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Gaussian mixture modeling in stroke patients' rehabilitation EEG data analysis

Liqing Zhang, Ye Liu, Hao Zhang, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Neural coding in networks of multi-populations of neural oscillators

C. K. Michael Tse, Rubin Wang, Jianting Cao, 2012, Math. Comput. Simul..

Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures

Li Ni, Rubin Wang, Jianting Cao, 2013, Comput. Math. Methods Medicine.

An Application of Translation Error to Brain Death Diagnosis

Jianting Cao, Gen Hori, Jianting Cao, 2011, ICONIP.

Selecting EEG components using time series analysis in brain death diagnosis

Gen Hori, Jianting Cao, Jianting Cao, 2011, Cognitive Neurodynamics.

Advanced EEG Signal Processing in Brain Death Diagnosis

Zhe Chen, Jianting Cao, Zhe Chen, 2008 .

Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network

Toshihisa Tanaka, Wanzeng Kong, Jianting Cao, 2018, 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP).

Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning

Toshihisa Tanaka, Wanzeng Kong, Jianting Cao, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation

Toshihisa Tanaka, Jianting Cao, Qibin Zhao, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci

Toshihisa Tanaka, Jianting Cao, Xuyang Zhao, 2019, 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Localization of Epileptic Foci by Using Convolutional Neural Network Based on iEEG

Toshihisa Tanaka, Jianting Cao, Qibin Zhao, 2019, AIAI.

Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion pdf

Chao Li, Danilo P. Mandic, Jianting Cao, 2018, ArXiv.

EEG Analysis for Differentiating between Brain Death and Coma in Humans

Jianting Cao, Gaochao Cui, Li Zhu, 2016, BIOINFORMATICS 2016.

A robust approach to independent component analysis of signals with high-level noise measurements

S. Amari, A. Cichocki, Jianting Cao, 2003, IEEE Trans. Neural Networks.

Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEG

Jianting Cao, Yao Miao, Jianting Cao, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Analyzing patients' EEG energy for brain death determination based on Dynamic 2T-EMD

Jianting Cao, Li Zhu, Gaochao Cui, 2017, BIOINFORMATICS 2017.

Patients' consciousness analysis using dynamic approximate entropy and MEMD method

Andrzej Cichocki, Jianting Cao, Qibin Zhao, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

An EEG diagnosis system for quasi brain death based on complexity and energy analyses

Liqing Zhang, Jianting Cao, Daishi Watabe, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

EEG energy analysis based on MEMD with ICA pre-processing

Toshihisa Tanaka, Jianting Cao, Yunchao Yin, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Blind Experiment Based on Dynamic Approximate Entropy Measure for Quasi-brain-death EEG

Rubin Wang, Yinan Zhou, Jianting Cao, 2010, 2010 Third International Symposium on Information Science and Engineering.

Blind testing based on ICA for quasi-brain-death EEG

Yang Cao, Wei Zhou, Rubin Wang, 2010, 2010 Sixth International Conference on Natural Computation.

Empirical Mode Decomposition Method for MEG Phantom Data Analysis

Toshihisa Tanaka, Jianting Cao, Yuki Saito, 2009, J. Circuits Syst. Comput..

Auditory Evoked Fields Analysis Using EMD and ICA

Jianting Cao, Tsunehiro Takeda, Juhong Yang, 2009 .

Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans

Andrzej Cichocki, François-Benoît Vialatte, Jianting Cao, 2007, Comput. Intell. Neurosci..

Visualization of Brain Dynamics based on the Robust Approach of Blind Signal Separation

Jianting Cao, Y. Konno, T. Takeda, 2007, 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference.

Analysis of the Quasi-Brain-Death EEG Data Based on a Robust ICA Approach

Jianting Cao, Jianting Cao, 2006, KES.

Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis

Andrzej Cichocki, Jianting Cao, Liangyu Zhao, 2006, ISNN.

Multiuser detection based on a robust approach of principal-factor method with determination of the number of sources

Jianting Cao, Y. Konno, M. Tanaka, 2005, IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005..

A novel pre-processing technique of blind source separation applying Q-mode factor analysis

Jianting Cao, Yoshio Kon'no, Mamoru Tanaka, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Visualization of Brain Activities of Single-Trial and Averaged Multiple-Trials MEG Data

Takayuki Arai, Jianting Cao, Yoshio Konno, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Independent Source Separation of MEG Data and its Evaluation

Jianting Cao, T. Arai, T. Takeda, 2004 .

Evaluation of Brain Source Separation for MEG Data Applying JADE, Fast-ICA and Natural Gradient-Based Algorithm with Robust Pre-Whitening Technique

Jianting Cao, Takayuki Arai, M. Tanaka, 2004 .

A ROBUST ICA APPROACH FOR UNAVERAGED SINGLE-TRIAL AUDITORY EVOKED FIELDS DATA DECOMPOSITION

Jianting Cao, Tsunehiro Takeda, Noboru Murata, 2001 .

Independent Component Analysis Algorithm for Online Blind Source Separation and Blind Equalization Systems

Andrzej Cichocki, Noboru Murata, Jianting Cao, 2000 .

Self-Scaling and Self-Adaptive Compact Time-Delay Neural Network for Dynamical Nonlinear and Nonstationary System Identification

Jianting Cao, Andrzej Cichocki, Shoji Tanaka, 2000 .

Approach of Complex Networks for the Determination of Brain Death

Weigang Sun, Jianting Cao, Rubin Wang, 2011 .

Multivariate multiscale entropy for brain consciousness analysis

Ling Li, Danilo P. Mandic, Jianting Cao, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.