A tridirectional method for corticomuscular coupling analysis in Parkinson's disease. - Xun Chen 001; Z. Jane Wang 001; Martin J. McKeown (MMSP, 2012)

A P300-based BCI classification algorithm using median filtering and Bayesian feature extraction. - Xiao-ou Li; Feng Wang; Xun Chen 001; Rabab K. Ward (MMSP, 2012)

On the performance of MIMO RFID backscattering channels. - Chen He 002; Xun Chen 001; Zhen Jane Wang 001; Weifeng Su (EURASIP J. Wirel. Commun. Netw., 2012)

Pattern recognition of number gestures based on a wireless surface EMG system. - Xun Chen 001; Z. Jane Wang 001 (Biomed. Signal Process. Control., 2013)

Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. - Xun Chen 001; Aiping Liu; Z. Jane Wang 001; Hu Peng (J. Appl. Math., 2013)

An IC-PLS Framework for Group Corticomuscular Coupling Analysis. - Xun Chen 001; Chen He 002; Z. Jane Wang 001; Martin J. McKeown (IEEE Trans. Biomed. Eng., 2013)

A Joint Multimodal Group Analysis Framework for Modeling Corticomuscular Activity. - Xun Chen 001; Xiang Chen 004; Rabab Kreidieh Ward; Z. Jane Wang 001 (IEEE Trans. Multim., 2013)

A heart beat rate detection framework using multiple nanofiber sensor signals. - Liang Zou; Xun Chen 001; Amir Servati; Peyman Servati; Martin J. McKeown (ChinaSIP, 2014)

Time varying brain connectivity modeling using FMRI signals. - Aiping Liu; Xun Chen 001; Z. Jane Wang 001; Martin J. McKeown (ICASSP, 2014)

Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis. - Xun Chen 001; Chen He 002; Hu Peng (J. Appl. Math., 2014)

A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG. - Xun Chen 001; Aiping Liu; Hu Peng; Rabab K. Ward (Sensors, 2014)

Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine. - Xiaoou Li; Xun Chen 001; Yuning Yan; Wenshi Wei; Z. Jane Wang 001 (Sensors, 2014)

An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis. - Xun Chen 001; Aiping Liu; Martin J. McKeown; Howard Poizner; Z. Jane Wang 001 (IEEE Trans. Biomed. Eng., 2014)

A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson's Disease. - Xun Chen 001; Z. Jane Wang 001; Martin J. McKeown (IEEE J. Biomed. Health Informatics, 2014)

A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors. - Juan Cheng; Xun Chen 001; Aiping Liu; Hu Peng (Sensors, 2015)

A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation. - Aiping Liu; Xun Chen 001; Martin J. McKeown; Z. Jane Wang 001 (IEEE Trans. Biomed. Eng., 2015)

Performance of General STCs Over Spatially Correlated MIMO Single-Keyhole Channels. - Chen He 002; Xun Chen 001; Z. Jane Wang 001 (IEEE Trans. Veh. Technol., 2015)

Joint time invariant and time dependent brain connectivity network estimation. - Aiping Liu; Xun Chen 001; Xiaojuan Dan; Martin J. McKeown; Z. Jane Wang 001 (CCECE, 2016)

Underdetermined joint blind source separation based on tensor decomposition. - Liang Zou; Z. Jane Wang 001; Xun Chen 001; Xiangyang Ji (CCECE, 2016)

Visualization of boundaries in CT volumetric data sets using dynamic M-|∇f| histogram. - Lu Li; Hu Peng; Xun Chen 001; Juan Cheng; Dayong Gao (Comput. Biol. Medicine, 2016)

Visualization of boundaries in volumetric data sets through a what material you pick is what boundary you see approach. - Lu Li; Hu Peng; Xun Chen 001; Juan Cheng; Dayong Gao (Comput. Methods Programs Biomed., 2016)

A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks. - Aiping Liu; Xun Chen 001; Xiaojuan Dan; Martin J. McKeown; Z. Jane Wang 001 (IEEE J. Sel. Top. Signal Process., 2016)

Image Fusion With Convolutional Sparse Representation. - Yu Liu 023; Xun Chen 001; Rabab K. Ward; Z. Jane Wang 001 (IEEE Signal Process. Lett., 2016)

Underdetermined Joint Blind Source Separation for Two Datasets Based on Tensor Decomposition. - Liang Zou; Xun Chen 001; Z. Jane Wang 001 (IEEE Signal Process. Lett., 2016)

Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods. - Xun Chen 001; Z. Jane Wang 001; Martin J. McKeown (IEEE Signal Process. Mag., 2016)

A medical image fusion method based on convolutional neural networks. - Yu Liu 023; Xun Chen 001; Juan Cheng; Hu Peng (FUSION, 2017)

A novel few-channel strategy for removing muscle artifacts from multichannel EEG data. - Xueyuan Xu; Aiping Liu; Xun Chen 001 (GlobalSIP, 2017)

Underdetermined Joint Blind Source Separation of Multiple Datasets. - Liang Zou; Xun Chen 001; Xiangyang Ji; Z. Jane Wang 001 (IEEE Access, 2017)

Opacity specification based on visibility ratio and occlusion vector in direct volume rendering. - Lu Li; Hu Peng; Xun Chen 001; Juan Cheng; Dayong Gao (Biomed. Signal Process. Control., 2017)

Video-based human heart rate measurement using joint blind source separation. - Huan Qi; Zhenyu Guo; Xun Chen 001; Zhiqi Shen 001; Z. Jane Wang 001 (Biomed. Signal Process. Control., 2017)

Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics. - Xun Chen 001; Aiping Liu; Qiang Chen; Yu Liu 023; Liang Zou; Martin J. McKeown (Comput. Biol. Medicine, 2017)

Short-lag spatial coherence combined with eigenspace-based minimum variance beamformer for synthetic aperture ultrasound imaging. - Yuanguo Wang; Chichao Zheng; Hu Peng; Xun Chen 001 (Comput. Biol. Medicine, 2017)

Multi-focus image fusion with a deep convolutional neural network. - Yu Liu 023; Xun Chen 001; Hu Peng; Zengfu Wang (Inf. Fusion, 2017)

Independent Vector Analysis Applied to Remove Muscle Artifacts in EEG Data. - Xun Chen 001; Hu Peng; Fengqiong Yu; Kai Wang (IEEE Trans. Instrum. Meas., 2017)

Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition. - Juan Cheng; Xun Chen 001; Lingxi Xu; Z. Jane Wang 001 (IEEE J. Biomed. Health Informatics, 2017)

Bone Age Assessment with X-Ray Images Based on Contourlet Motivated Deep Convolutional Networks. - Xun Chen 001; Chao Zhang 057; Yu Liu 023 (MMSP, 2018)

Position-independent gesture recognition using sEMG signals via canonical correlation analysis. - Juan Cheng; Fulin Wei; Chang Li 001; Yu Liu 023; Aiping Liu; Xun Chen 001 (Comput. Biol. Medicine, 2018)

Infrared and visible image fusion with convolutional neural networks. - Yu Liu 023; Xun Chen 001; Juan Cheng; Hu Peng; Zengfu Wang (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Deep learning for pixel-level image fusion: Recent advances and future prospects. - Yu Liu 023; Xun Chen 001; Zengfu Wang; Z. Jane Wang 001; Rabab K. Ward; Xuesong Wang 001 (Inf. Fusion, 2018)

Hyperspectral Unmixing with Bandwise Generalized Bilinear Model. - Chang Li 001; Yu Liu 023; Juan Cheng; Rencheng Song; Hu Peng; Qiang Chen; Xun Chen 001 (Remote. Sens., 2018)

A SEMG-Force Estimation Framework Based on a Fast Orthogonal Search Method Coupled with Factorization Algorithms. - Xiang Chen 004; Yuan Yuan; Shuai Cao; Xu Zhang 002; Xun Chen 001 (Sensors, 2018)

Feasibility Study of Advanced Neural Networks Applied to sEMG-Based Force Estimation. - Lingfeng Xu; Xiang Chen 004; Shuai Cao; Xu Zhang 002; Xun Chen 001 (Sensors, 2018)

The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings. - Xun Chen 001; Xueyuan Xu; Aiping Liu; Martin J. McKeown; Z. Jane Wang 001 (IEEE Trans. Instrum. Meas., 2018)

Convolutional Neural Network with Data Augmentation for Robust Myoelectric Control. - Tong Luo; Xu Zhang 002; Le Wu; Xi Chen 092; Xiang Chen 004; Xun Chen 001 (CIVEMSA, 2019)

A feasibility study of a video-based heart rate estimation method with convolutional neural networks. - Senle Zhang; Rencheng Song; Juan Cheng; Yunfei Zhang; Xun Chen 001 (CIVEMSA, 2019)

Investigation on the Contributions of Different Muscles to the Generated Force based on HD-sEMG and DBN. - Ruochen Hu; Xiang Chen 004; Shuai Cao; Xu Zhang 002; Xun Chen 001 (EMBC, 2019)

Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks. - Le Wu; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (EMBC, 2019)

Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study. - Juan Cheng; Luchang Li; Chang Li 001; Yu Liu 023; Aiping Liu; Ruobing Qian; Xun Chen 001 (IEEE Access, 2019)

A multi-scale data fusion framework for bone age assessment with convolutional neural networks. - Yu Liu 023; Chao Zhang 057; Juan Cheng; Xun Chen 001; Z. Jane Wang 001 (Comput. Biol. Medicine, 2019)

Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks. - Wei Tang 018; Yu Liu 023; Chao Zhang 057; Juan Cheng; Hu Peng; Xun Chen 001 (Comput. Math. Methods Medicine, 2019)

Acoustic Indoor Localization System Integrating TDMA+FDMA Transmission Scheme and Positioning Correction Technique. - Xiang Chen 004; Yuheng Chen; Shuai Cao; Lei Zhang; Xu Zhang 002; Xun Chen 001 (Sensors, 2019)

Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis. - Yu Liu 023; Xun Chen 001; Rabab K. Ward; Z. Jane Wang 001 (IEEE Signal Process. Lett., 2019)

Removal of High-Voltage Brain Stimulation Artifacts From Simultaneous EEG Recordings. - Soojin Lee; Martin J. McKeown; Z. Jane Wang 001; Xun Chen 001 (IEEE Trans. Biomed. Eng., 2019)

Video-Based Heart Rate Measurement: Recent Advances and Future Prospects. - Xun Chen 001; Juan Cheng; Rencheng Song; Yu Liu 023; Rabab Ward; Z. Jane Wang 001 (IEEE Trans. Instrum. Meas., 2019)

Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain. - Ming Yin; Xiaoning Liu 003; Yu Liu 023; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2019)

Sparse Group Representation Model for Motor Imagery EEG Classification. - Yong Jiao; Yu Zhang 009; Xun Chen 001; Erwei Yin; Jing Jin 001; Xingyu Wang 004; Andrzej Cichocki (IEEE J. Biomed. Health Informatics, 2019)

Hybrid Encoder-Decoder Deep Networks for Decoding Neural Drive Information towards Precise Muscle Force Estimation. - Xiao Tang; Maoqi Chen; Xun Chen 001; Xiang Chen 004; Xu Zhang 002 (EMBC, 2020)

ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network. - Jing Zhang; Aiping Liu; Min Gao; Xiang Chen 004; Xu Zhang 002; Xun Chen 001 (Artif. Intell. Medicine, 2020)

Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network. - Yu Liu 023; Yufeng Ding; Chang Li 001; Juan Cheng; Rencheng Song; Feng Wan; Xun Chen 001 (Comput. Biol. Medicine, 2020)

A practical PET/CT data visualization method with dual-threshold PET colorization and image fusion. - Yu Liu 023; Chao Zhang 057; Chang Li 001; Juan Cheng; Yadong Zhang; Huiqin Xu; Tao Song; Liang Zhao 018; Xun Chen 001 (Comput. Biol. Medicine, 2020)

New insights on super-high resolution for video-based heart rate estimation with a semi-blind source separation method. - Rencheng Song; Senle Zhang; Juan Cheng; Chang Li 001; Xun Chen 001 (Comput. Biol. Medicine, 2020)

MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG. - Jing Zhang; Deng Liang; Aiping Liu; Min Gao; Xiang Chen 004; Xu Zhang 002; Xun Chen 001 (CoRR, 2020)

Multi-focus image fusion: A Survey of the state of the art. - Yu Liu 023; Lei Wang 168; Juan Cheng; Chang Li 001; Xun Chen 001 (Inf. Fusion, 2020)

Sparse unmixing of hyperspectral data with bandwise model. - Chang Li 001; Yu Liu 023; Juan Cheng; Rencheng Song; Jiayi Ma 001; Chenhong Sui; Xun Chen 001 (Inf. Sci., 2020)

EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network. - Heng Cui 001; Aiping Liu; Xu Zhang 002; Xiang Chen 004; Kongqiao Wang; Xun Chen 001 (Knowl. Based Syst., 2020)

Quantitative assessment of lower limbs gross motor function in children with cerebral palsy based on surface EMG and inertial sensors. - Xiang Chen 004; Qi Wu; Lu Tang; Shuai Cao; Xu Zhang 002; Xun Chen 001 (Medical Biol. Eng. Comput., 2020)

Exploring the feasibility of seamless remote heart rate measurement using multiple synchronized cameras. - Juan Cheng; Xingmao Wang; Rencheng Song; Yu Liu 023; Chang Li 001; Xun Chen 001 (Multim. Tools Appl., 2020)

Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control. - Xu Zhang 002; Le Wu; Bin Yu; Xiang Chen 004; Xun Chen 001 (IEEE Trans. Biomed. Eng., 2020)

Removing Muscle Artifacts From EEG Data via Underdetermined Joint Blind Source Separation: A Simulation Study. - Liang Zou; Xun Chen 001; Ge Dang; Yi Guo 007; Z. Jane Wang 001 (IEEE Trans. on Circuits and Systems, 2020)

A Novel Postprocessing Method for Robust Myoelectric Pattern-Recognition Control Through Movement Pattern Transition Detection. - Bin Yu; Xu Zhang 002; Le Wu; Xiang Chen 004; Xun Chen 001 (IEEE Trans. Hum. Mach. Syst., 2020)

Combined Weighted Method for TDOA-Based Localization. - Shuai Cao; Xiang Chen 004; Xu Zhang 002; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2020)

Effective Audio Signal Arrival Time Detection Algorithm for Realization of Robust Acoustic Indoor Positioning. - Shuai Cao; Xiang Chen 004; Xu Zhang 002; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2020)

ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG. - Xun Chen 001; Qingze Liu; Wei Tao; Luchang Li; Soojin Lee; Aiping Liu; Qiang Chen; Juan Cheng; Martin J. McKeown; Z. Jane Wang 001 (IEEE Trans. Instrum. Meas., 2020)

Heart Rate Estimation From Facial Videos Using a Spatiotemporal Representation With Convolutional Neural Networks. - Rencheng Song; Senle Zhang; Chang Li 001; Yunfei Zhang; Juan Cheng; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2020)

Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net. - Yi Yu; Xiang Chen 004; Shuai Cao; Xu Zhang 002; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2020)

Zero-Shot Learning Based on Deep Weighted Attribute Prediction. - Xuesong Wang 001; Chen Chen 033; Yuhu Cheng; Xun Chen 001; Yu Liu 023 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

White-Box Attacks on the CNN-Based Myoelectric Control System. - Bo Xue 005; Le Wu; Aiping Liu; Xu Zhang 002; Xun Chen 001 (CICAI, 2021)

Multi-view 3D Reconstruction with Transformers. - Dan Wang 011; Xinrui Cui; Xun Chen 001; Zhengxia Zou; Tianyang Shi; Septimiu E. Salcudean; Z. Jane Wang 001; Rabab Ward (ICCV, 2021)

Prediction of arterial blood pressure waveforms from photoplethysmogram signals via fully convolutional neural networks. - Juan Cheng; Yufei Xu; Rencheng Song; Yu Liu 023; Chang Li 001; Xun Chen 001 (Comput. Biol. Medicine, 2021)

Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport. - Bo Xue 005; Le Wu; Kun Wang; Xu Zhang 002; Juan Cheng; Xiang Chen 004; Xun Chen 001 (Comput. Biol. Medicine, 2021)

Multi-view 3D Reconstruction with Transformer. - Dan Wang 011; Xinrui Cui; Xun Chen 001; Zhengxia Zou; Tianyang Shi; Septimiu E. Salcudean; Z. Jane Wang 001; Rabab Ward (CoRR, 2021)

Recent Advances in Sparse Representation Based Medical Image Fusion. - Yu Liu 023; Xun Chen 001; Aiping Liu; Rabab K. Ward; Zhen Jane Wang 001 (IEEE Instrum. Meas. Mag., 2021)

Metric learning for novel motion rejection in high-density myoelectric pattern recognition. - Le Wu; Xu Zhang 002; Xuan Zhang; Xiang Chen 004; Xun Chen 001 (Knowl. Based Syst., 2021)

Constrained independent vector extraction of quasi-periodic signals from multiple data sets. - Rencheng Song; Guoping Wang; Juan Cheng; Aiping Liu; Chang Li 001; Xun Chen 001 (Signal Process., 2021)

Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation. - Aiping Liu; Soojin Lee; Xun Chen 001; Martin J. McKeown; Z. Jane Wang 001 (IEEE Signal Process. Mag., 2021)

Electromagnetic Inverse Scattering With Perceptual Generative Adversarial Networks. - Rencheng Song; Youyou Huang; Kuiwen Xu; Xiuzhu Ye; Chang Li 001; Xun Chen 001 (IEEE Trans. Computational Imaging, 2021)

Green Fluorescent Protein and Phase Contrast Image Fusion Via Detail Preserving Cross Network. - Wei Tang 018; Yu Liu 023; Juan Cheng; Chang Li 001; Xun Chen 001 (IEEE Trans. Computational Imaging, 2021)

Remote Heart Rate Measurement From Near-Infrared Videos Based on Joint Blind Source Separation With Delay-Coordinate Transformation. - Juan Cheng; Ping Wang 030; Rencheng Song; Yu Liu 023; Chang Li 001; Yong Liu 020; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2021)

Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study. - Aiping Liu; Qingze Liu; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2021)

A State-Dependent IVA Model for Muscle Artifacts Removal From EEG Recordings. - Aiping Liu; Gongzheng Song; Soojin Lee; Xueyang Fu; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2021)

Multiscale Feature Interactive Network for Multifocus Image Fusion. - Yu Liu 023; Lei Wang 168; Juan Cheng; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2021)

Motion Robust Imaging Ballistocardiography Through a Two-Step Canonical Correlation Analysis. - Rencheng Song; Jiji Li; Juan Cheng; Chang Li 001; Yu Liu 023; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2021)

Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion. - Huafeng Li; Yueliang Cen; Yu Liu 023; Xun Chen 001; Zhengtao Yu 001 (IEEE Trans. Image Process., 2021)

Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference. - Dan Wang 011; Xinrui Cui; Xun Chen 001; Rabab Ward; Z. Jane Wang 001 (IEEE Trans. Image Process., 2021)

Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method. - Xiang Chen 004; Yu Li; Ruochen Hu; Xu Zhang 002; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2021)

Emotion Recognition From Multi-Channel EEG via Deep Forest. - Juan Cheng; Meiyao Chen; Chang Li 001; Yu Liu 023; Rencheng Song; Aiping Liu; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2021)

Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease. - Yu Li 027; Aiping Liu; Taomian Mi; Runyu Yang; Piu Chan; Martin J. McKeown; Xun Chen 001; Feng Wu 001 (IEEE J. Biomed. Health Informatics, 2021)

PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography. - Rencheng Song; Huan Chen; Juan Cheng; Chang Li 001; Yu Liu 023; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2021)

Hip Landmark Detection With Dependency Mining in Ultrasound Image. - Jingyuan Xu; Hongtao Xie; Chuanbin Liu 001; Fang Yang; Sicheng Zhang; Xun Chen 001; Yongdong Zhang 001 (IEEE Trans. Medical Imaging, 2021)

Performance Analysis of the Generalized Likelihood Ratio Test in General Phased Array Radar Configuration. - Jun Liu 004; Weijian Liu 001; Xun Chen 001; Danilo Orlando; Alfonso Farina (IEEE Trans. Signal Process., 2021)

Encoder-Decoder Architectures for Silent Speech Recognition based on High-density Surface Electromyogram. - Xi Chen 092; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (ICARM, 2022)

Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. - Gang Yang; Li Zhang 104; Man Zhou; Aiping Liu; Xun Chen 001; Zhiwei Xiong; Feng Wu 001 (ACM Multimedia, 2022)

Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks. - Xinhui Li; Xu Zhang 002; Xiao Tang; Maoqi Chen; Xiang Chen 004; Xun Chen 001; Aiping Liu (Biomed. Signal Process. Control., 2022)

A general sample-weighted framework for epileptic seizure prediction. - Yikai Gao; Aiping Liu; Xinrui Cui; Ruobing Qian; Xun Chen 001 (Comput. Biol. Medicine, 2022)

Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex. - Yu Li 027; Aiping Liu; Xueyang Fu; Martin J. McKeown; Z. Jane Wang 001; Xun Chen 001 (Comput. Biol. Medicine, 2022)

Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism. - Chang Li 001; Bin Wang 088; Silin Zhang; Yu Liu 023; Rencheng Song; Juan Cheng; Xun Chen 001 (Comput. Biol. Medicine, 2022)

Detecting the universal adversarial perturbations on high-density sEMG signals. - Bo Xue 005; Le Wu; Aiping Liu; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (Comput. Biol. Medicine, 2022)

Multi-channel EEG-based emotion recognition in the presence of noisy labels. - Chang Li 001; Yimeng Hou; Rencheng Song; Juan Cheng; Yu Liu 023; Xun Chen 001 (Sci. China Inf. Sci., 2022)

DSG-Fusion: Infrared and visible image fusion via generative adversarial networks and guided filter. - Xin Yang; Hongtao Huo; Jing Li 040; Chang Li 001; Zhao Liu; Xun Chen 001 (Expert Syst. Appl., 2022)

Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks. - Le Wu; Xun Chen 001; Xiang Chen 004; Xu Zhang 002 (Frontiers Neurorobotics, 2022)

Glioma Segmentation-Oriented Multi-Modal MR Image Fusion With Adversarial Learning. - Yu Liu 023; Yu Shi; Fuhao Mu; Juan Cheng; Xun Chen 001 (IEEE CAA J. Autom. Sinica, 2022)

Multi-focus image fusion with deep residual learning and focus property detection. - Yu Liu 023; Lei Wang 168; Huafeng Li; Xun Chen 001 (Inf. Fusion, 2022)

Superpixel-Based Noise-Robust Sparse Unmixing of Hyperspectral Image. - Chang Li 001; Chenhong Sui; Rencheng Song; Juan Cheng; Yu Liu 023; Xun Chen 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals. - Jiaqi Zhao; Xiang Chen 004; Xu Zhang 002; Xun Chen 001 (Medical Biol. Eng. Comput., 2022)

SF-Net: A Multi-Task Model for Brain Tumor Segmentation in Multimodal MRI via Image Fusion. - Yu Liu 023; Fuhao Mu; Yu Shi; Xun Chen 001 (IEEE Signal Process. Lett., 2022)

Video-Based Heart Rate Measurement Against Uneven Illuminations Using Multivariate Singular Spectrum Analysis. - Rencheng Song; Xiaoxue Sun; Juan Cheng; Xuezhi Yang; Xun Chen 001 (IEEE Signal Process. Lett., 2022)

Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. - Xun Chen 001; Chang Li 001; Aiping Liu; Martin J. McKeown; Ruobing Qian; Z. Jane Wang 001 (IEEE Signal Process. Mag., 2022)

Wald Test for Adaptive Array Detection With General Configuration. - Jun Liu 004; Weijian Liu 001; Xun Chen 001; Danilo Orlando; Alfonso Farina (IEEE Trans. Aerosp. Electron. Syst., 2022)

SOM-Net: Unrolling the Subspace-Based Optimization for Solving Full-Wave Inverse Scattering Problems. - Yu Liu 023; Hao Zhao; Rencheng Song; Xudong Chen 001; Chang Li 001; Xun Chen 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion. - Jing Li 040; Jianming Zhu; Chang Li 001; Xun Chen 001; Bin Yang 008 (IEEE Trans. Instrum. Meas., 2022)

Multimodal MRI Volumetric Data Fusion With Convolutional Neural Networks. - Yu Liu 023; Yu Shi; Fuhao Mu; Juan Cheng; Chang Li 001; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2022)

Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. - Le Wu; Aiping Liu; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2022)

Transformer-Based End-to-End Anatomical and Functional Image Fusion. - Jing Zhang; Aiping Liu; Dan Wang 011; Yu Liu 023; Z. Jane Wang 001; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2022)

Deep Fourier Ranking Quantization for Semi-Supervised Image Retrieval. - Pandeng Li; Hongtao Xie; Shaobo Min; Jiannan Ge; Xun Chen 001; Yongdong Zhang 001 (IEEE Trans. Image Process., 2022)

An Effective Photoplethysmography Heart Rate Estimation Framework Integrating Two-Level Denoising Method and Heart Rate Tracking Algorithm Guided by Finite State Machine. - Jingbin Guo; Xiang Chen 004; Jiaqi Zhao; Xu Zhang 002; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2022)

A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation. - Qinrui Ling; Aiping Liu; Yu Li 027; Xueyang Fu; Xun Chen 001; Martin J. McKeown; Feng Wu 001 (IEEE J. Biomed. Health Informatics, 2022)

A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG. - Yuheng Feng; Qingze Liu; Aiping Liu; Ruobing Qian; Xun Chen 001 (Virtual Real. Intell. Hardw., 2022)

Domain Incremental Learning for EEG-Based Seizure Prediction. - Zhiwei Deng; Tingting Mao; Chenghao Shao; Chang Li 001; Xun Chen 001 (CICAI (2), 2023)

PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. - Gang Yang; Xiangyong Cao; Wenzhe Xiao; Man Zhou; Aiping Liu; Xun Chen 001; Deyu Meng (ICCV, 2023)

Accurate MRI Reconstruction via Multi-Domain Recurrent Networks. - Jinbao Wei; Zhijie Wang; Kongqiao Wang; Li Guo; Xueyang Fu; Ji Liu; Xun Chen 001 (IJCAI, 2023)

Decoding silent speech from high-density surface electromyographic data using transformer. - Rui Song; Xu Zhang 002; Xi Chen 092; Xiang Chen 004; Xun Chen 001; Shuang Yang; Erwei Yin (Biomed. Signal Process. Control., 2023)

TC-Net: A Transformer Capsule Network for EEG-based emotion recognition. - Yi Wei; Yu Liu 023; Chang Li 001; Juan Cheng; Rencheng Song; Xun Chen 001 (Comput. Biol. Medicine, 2023)

EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning. - Zhiwei Deng; Chang Li 001; Rencheng Song; Xiang Liu; Ruobing Qian; Xun Chen 001 (Eng. Appl. Artif. Intell., 2023)

Multi-Exposure Image Fusion via Multi-Scale and Context-Aware Feature Learning. - Yu Liu 023; Zhigang Yang; Juan Cheng; Xun Chen 001 (IEEE Signal Process. Lett., 2023)

EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion. - Heng Cui 001; Aiping Liu; Xu Zhang 002; Xiang Chen 004; Jun Liu 004; Xun Chen 001 (IEEE Trans. Affect. Comput., 2023)

EEG-Based Emotion Recognition via Neural Architecture Search. - Chang Li 001; Zhongzhen Zhang; Rencheng Song; Juan Cheng; Yu Liu 023; Xun Chen 001 (IEEE Trans. Affect. Comput., 2023)

EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention. - Wei Tao; Chang Li 001; Rencheng Song; Juan Cheng; Yu Liu 023; Feng Wan; Xun Chen 001 (IEEE Trans. Affect. Comput., 2023)

Motion-Robust Respiratory Rate Estimation From Camera Videos via Fusing Pixel Movement and Pixel Intensity Information. - Juan Cheng; Runqing Liu; Jiajie Li; Rencheng Song; Yu Liu 023; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2023)

Silent Speech Recognition Based on Surface Electromyography Using a Few Electrode Sites Under the Guidance From High-Density Electrode Arrays. - Zhihang Deng; Xu Zhang 002; Xi Chen 092; Xiang Chen 004; Xun Chen 001; Erwei Yin (IEEE Trans. Instrum. Meas., 2023)

Exploration on the Negative Effects of Sensor Shifts in Photoplethysmography-Based Gesture Recognition and a Solution Based on Transfer Learning. - Chengfeng Fang; Xin Ruan; Xu Zhang 002; Xun Chen 001; Xiang Chen 004 (IEEE Trans. Instrum. Meas., 2023)

Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization. - Deng Liang; Aiping Liu; Yikai Gao; Chang Li 001; Ruobing Qian; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2023)

Uncertainty Quantification for Deep Learning-Based Remote Photoplethysmography. - Rencheng Song; Han Wang; Haojie Xia; Juan Cheng; Chang Li 001; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2023)

MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images. - Xiaowen Zhang; Aiping Liu; Pan Jiang; Ruobing Qian; Wei Wei 068; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2023)

Bi-CapsNet: A Binary Capsule Network for EEG-Based Emotion Recognition. - Yu Liu 023; Yi Wei; Chang Li 001; Juan Cheng; Rencheng Song; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2023)

Spatio-temporal deep forest for emotion recognition based on facial electromyography signals. - Muhua Xu; Juan Cheng; Chang Li 001; Yu Liu 023; Xun Chen 001 (Comput. Biol. Medicine, 2023)

Silent Speech Recognition Based on High-Density Surface Electromyogram Using Hybrid Neural Networks. - Xi Chen 092; Yuanfei Xia; Yong Sun; Le Wu; Xiang Chen 004; Xun Chen 001; Xu Zhang 002 (IEEE Trans. Hum. Mach. Syst., 2023)

EEG-based Emotion Recognition via Transformer Neural Architecture Search. - Chang Li 001; Zhongzhen Zhang; Xiaodong Zhang; Guoning Huang; Yu Liu 023; Xun Chen 001 (IEEE Trans. Ind. Informatics, 2023)

Connectivity-Based Brain Parcellation for Parkinson's Disease. - Yu Li 027; Aiping Liu; Liangyong Li; Yunhu Wu; Martin J. McKeown; Xun Chen 001; Feng Wu 001 (IEEE Trans. Biomed. Eng., 2023)

Signal Processing for Brain-Computer Interfaces: A review and current perspectives. - Le Wu; Aiping Liu; Rabab K. Ward; Z. Jane Wang 001; Xun Chen 001 (IEEE Signal Process. Mag., 2023)

A Unified User-Generic Framework for Myoelectric Pattern Recognition: Mix-Up and Adversarial Training for Domain Generalization and Adaptation. - Xinhui Li; Xu Zhang 002; Xiang Chen 004; Xun Chen 001; Liwei Zhang (IEEE Trans. Biomed. Eng., 2023)

Motion-robust anterior-posterior imaging ballistocardiography for non-contact heart rate measurements. - Juan Cheng; Bicheng Yue; Rencheng Song; Yu Liu 023; Chang Li 001; Xun Chen 001 (Biomed. Signal Process. Control., 2023)

Patient-Specific Seizure Prediction From Electroencephalogram Signal via Multichannel Feedback Capsule Network. - Chang Li 001; Yuchang Zhao; Rencheng Song; Xiang Liu; Ruobing Qian; Xun Chen 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

A Novel Event-Driven Spiking Convolutional Neural Network for Electromyography Pattern Recognition. - Mengjuan Xu; Xiang Chen 004; Antong Sun; Xu Zhang 002; Xun Chen 001 (IEEE Trans. Biomed. Eng., 2023)

MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features. - Yu Liu 023; Haihang Li; Juan Cheng; Xun Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework. - Xinhui Li; Xu Zhang 002; Xiang Chen 004; Xun Chen 001; Aiping Liu (Comput. Biol. Medicine, 2023)

Hyperspectral Anomaly Detection With Tensor Average Rank and Piecewise Smoothness Constraints. - Siyu Sun; Jun Liu 004; Xun Chen 001; Wei Li 032; Hongbin Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction. - Gang Yang; Li Zhang 104; Aiping Liu; Xueyang Fu; Xun Chen 001; Rujing Wang (Comput. Biol. Medicine, 2023)

Enhancing EEG artifact removal through neural architecture search with large kernels. - Le Wu; Aiping Liu; Chang Li 001; Xun Chen 001 (Adv. Eng. Informatics, 2024)

SFE-Net: Spatial-Frequency Enhancement Network for robust nuclei segmentation in histopathology images. - Jinsha Chen; Gang Yang; Aiping Liu; Xun Chen 001; Ji Liu (Comput. Biol. Medicine, 2024)

An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning. - Yikai Gao; Aiping Liu; Heng Cui 001; Ruobing Qian; Xun Chen 001 (Comput. Biol. Medicine, 2024)

SIMFusion: A semantic information-guided modality-specific fusion network for MR Images. - Xiaowen Zhang; Aiping Liu; Gang Yang; Yu Liu 023; Xun Chen 001 (Inf. Fusion, 2024)

Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction. - Jinbao Wei; Gang Yang; Zhijie Wang; Yu Liu 023; Aiping Liu; Xun Chen 001 (Knowl. Based Syst., 2024)

RSMoDM: Multimodal Momentum Distillation Model for Remote Sensing Visual Question Answering. - Pengfei Li; Gang Liu 021; Jinlong He; Xiangxu Meng; Shenjun Zhong; Xun Chen 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG. - Heng Cui 001; Chang Li 001; Aiping Liu; Ruobing Qian; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2024)

Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction. - Zhiwei Deng; Chang Li 001; Rencheng Song; Xiang Liu; Ruobing Qian; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2024)

TransSea: Hybrid CNN-Transformer With Semantic Awareness for 3-D Brain Tumor Segmentation. - Yu Liu 023; Yize Ma; Zhiqin Zhu; Juan Cheng; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2024)

Imagined Speech Reconstruction From Neural Signals - An Overview of Sources and Methods. - Jiye Tang; Junxin Chen 001; Xu Xu; Aiping Liu; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2024)

MM-Net: A MixFormer-Based Multi-Scale Network for Anatomical and Functional Image Fusion. - Yu Liu 023; Chen Yu; Juan Cheng; Z. Jane Wang 001; Xun Chen 001 (IEEE Trans. Image Process., 2024)

Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction. - Ziye Zhang; Aiping Liu; Yikai Gao; Xinrui Cui; Ruobing Qian; Xun Chen 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Source-Free Domain Adaptation for Privacy-Preserving Seizure Prediction. - Yuchang Zhao; Shuai Feng; Chang Li 001; Rencheng Song; Deng Liang; Xun Chen 001 (IEEE Trans. Ind. Informatics, 2024)

Intelligent Proximate Analysis of Coal Based on Near-Infrared Spectroscopy and Multioutput Deep Learning. - Liang Zou; Jiahui Qiao; Xinhui Yu; Xun Chen 001; Meng Lei (IEEE Trans. Artif. Intell., 2024)

Detecting fake information with knowledge-enhanced AutoPrompt. - Xun Chen 001; Gang Yang; Yadang Chen; Qianmu Li (Neural Comput. Appl., 2024)

Rethinking Deep Supervision for Brain Tumor Segmentation. - Jiale Li; Aiping Liu; Yu Li 027; Wei Wei 068; Ruobing Qian; Qingguo Xie; Bensheng Qiu; Xun Chen 001 (IEEE Trans. Artif. Intell., 2024)

Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation. - Tingting Mao; Chang Li 001; Rencheng Song; Guoping Xu; Xun Chen 001 (IEEE Internet Things J., 2024)

Rethinking the Effectiveness of Objective Evaluation Metrics in Multi-Focus Image Fusion: A Statistic-Based Approach. - Yu Liu 023; Zhengzheng Qi; Juan Cheng; Xun Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Multi-Dimensional Medical Image Fusion With Complex Sparse Representation. - Yuhang Chen; Aiping Liu; Yu Liu 023; Zhiyang He; Cong Liu 006; Xun Chen 001 (IEEE Trans. Biomed. Eng., 2024)

Machine Unlearning for Seizure Prediction. - Chenghao Shao; Chang Li 001; Rencheng Song; Xiang Liu; Ruobing Qian; Xun Chen 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Test time adaptation for cross-domain sleep stage classification. - Hanfei Guo; Chang Li 001; Hu Peng; Zhihui Han; Xun Chen 001 (Biomed. Signal Process. Control., 2025)

Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity. - Kun Wang; Ming Yang; Aiping Liu; Chang Li 001; Ruobing Qian; Xun Chen 001 (Biomed. Signal Process. Control., 2025)

Uncertainty-guided Fourier-based domain generalization for seizure prediction. - Zhiwei Deng; Chang Li 001; Rencheng Song; Xiang Liu; Ruobing Qian; Xun Chen 001 (Expert Syst. Appl., 2025)

Data Distillation for Sleep Stage Classification. - Hanfei Guo; Chang Li 001; Wei Zhao; Hu Peng; Heyuan Qiao; Xun Chen 001 (IEEE Internet Things J., 2025)

VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion. - Yu Shi; Yu Liu 023; Juan Cheng; Z. Jane Wang 001; Xun Chen 001 (IEEE Trans. Image Process., 2025)

Enhancing Domain Diversity of Transfer Learning-Based SSVEP-BCIs by the Reconstruction of Channel Correlation. - Wenlong Ding; Aiping Liu; Chengjuan Xie; Kai Wang; Xun Chen 001 (IEEE Trans. Biomed. Eng., 2025)

Feature Unlearning for EEG-Based Seizure Prediction. - Chenghao Shao; Chang Li 001; Rencheng Song; Guoping Xu; Xun Chen 001 (IEEE Internet Things J., 2025)

CH-Net: A Cross Hybrid Network for Medical Image Segmentation. - Jiale Li; Aiping Liu; Wei Wei 068; Ruobing Qian; Xun Chen 001 (IEEE Trans. Artif. Intell., 2025)

Edge-Centric Functional-Connectivity-Based Cofluctuation-Guided Subcortical Connectivity Network Construction. - Qinrui Ling; Aiping Liu; Taomian Mi; Piu Chan; Xun Chen 001 (IEEE Trans. Cogn. Dev. Syst., 2025)

EEGDfus: A Conditional Diffusion Model for Fine-Grained EEG Denoising. - Xiaoyang Huang; Chang Li 001; Aiping Liu; Ruobing Qian; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

MIF: Multi-Shot Interactive Fusion Model for Cancer Survival Prediction Using Pathological Image and Genomic Data. - Yi Shi; Minghui Wang; Honglei Liu; Fang Zhao; Ao Li 001; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

Data Augmentation for Seizure Prediction With Generative Diffusion Model. - Kai Shu; Le Wu; Yuchang Zhao; Aiping Liu; Ruobing Qian; Xun Chen 001 (IEEE Trans. Cogn. Dev. Syst., 2025)

A GAN Guided Parallel CNN and Transformer Network for EEG Denoising. - Jin Yin; Aiping Liu; Chang Li 001; Ruobing Qian; Xun Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

GZSL-Lite: A Lightweight Generalized Zero-Shot Learning Network for SSVEP-Based BCIs. - Xietian Wang; Aiping Liu; Heng Cui 001; Xingui Chen; Kai Wang; Xun Chen 001 (IEEE Trans. Biomed. Eng., 2025)