A Real-Time Infrared Ultra-Spectral Signature Classification Method via Spatial Pyramid Matching. - Xiaoguang Mei; Yong Ma 001; Chang Li 001; Fan Fan 001; Jun Huang 008; Jiayi Ma 001 (Sensors, 2015)

Hyperspectral image denoising based on low-rank representation and superpixel segmentation. - Jiayi Ma 001; Chang Li 001; Yong Ma 001; Zhongyuan Wang 001 (ICIP, 2016)

Robust sparse unmixing of hyperspectral data. - Yong Ma 001; Chang Li 001; Jiayi Ma 001 (IGARSS, 2016)

Sparse unmixing of hyperspectral data based on robust linear mixing model. - Chang Li 001; Yong Ma 001; Yuan Gao 015; Zhongyuan Wang 001; Jiayi Ma 001 (VCIP, 2016)

Multimodal retinal image registration using edge map and feature guided Gaussian mixture model. - Jiayi Ma 001; Junjun Jiang; Jun Chen 019; Chengyin Liu; Chang Li 001 (VCIP, 2016)

Hyperspectral image denoising with segmentation-based low rank representation. - Jiayi Ma 001; Junjun Jiang; Chang Li 001 (VCIP, 2016)

Infrared and visible image fusion via gradient transfer and total variation minimization. - Jiayi Ma 001; Chen Chen 003; Chang Li 001; Jun Huang 008 (Inf. Fusion, 2016)

GBM-Based Unmixing of Hyperspectral Data Using Bound Projected Optimal Gradient Method. - Chang Li 001; Yong Ma 001; Jun Huang 008; Xiaoguang Mei; Chengyin Liu; Jiayi Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Hyperspectral Image Classification With Robust Sparse Representation. - Chang Li 001; Yong Ma 001; Xiaoguang Mei; Chengyin Liu; Jiayi Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Hyperspectral Unmixing with Robust Collaborative Sparse Regression. - Chang Li 001; Yong Ma 001; Xiaoguang Mei; Chengyin Liu; Jiayi Ma 001 (Remote. Sens., 2016)

Hyperspectral image denoising with superpixel segmentation and low-rank representation. - Fan Fan 001; Yong Ma 001; Chang Li 001; Xiaoguang Mei; Jun Huang 008; Jiayi Ma 001 (Inf. Sci., 2017)

Sparse Unmixing of Hyperspectral Data with Noise Level Estimation. - Chang Li 001; Yong Ma 001; Xiaoguang Mei; Fan Fan 001; Jun Huang 008; Jiayi Ma 001 (Remote. Sens., 2017)

Hyperspectral Image Classification with Spatial Filtering and l(2, 1) Norm. - Hao Li 034; Chang Li 001; Cong Zhang; Zhe Liu 019; Chengyin Liu (Sensors, 2017)

Robust Sparse Hyperspectral Unmixing With ell2, 1 Norm. - Yong Ma 001; Chang Li 001; Xiaoguang Mei; Chengyin Liu; Jiayi Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

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)

Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation. - Xiaoguang Mei; Yong Ma 001; Chang Li 001; Fan Fan 001; Jun Huang 008; Jiayi Ma 001 (Neurocomputing, 2018)

Hyperspectral Image Classification With Discriminative Kernel Collaborative Representation and Tikhonov Regularization. - Yong Ma 001; Chang Li 001; Hao Li 034; Xiaoguang Mei; Jiayi Ma 001 (IEEE Geosci. Remote. Sens. Lett., 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)

Urban Area Detection in Very High Resolution Remote Sensing Images Using Deep Convolutional Neural Networks. - Tian Tian 006; Chang Li 001; Jinkang Xu; Jiayi Ma 001 (Sensors, 2018)

Spatial-Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising. - Haiyan Fan; Chang Li 001; Yulan Guo; Gangyao Kuang; Jiayi Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

A Robust Algorithm for Multichannel Eeg Compressed Sensing with Mixed Noise. - Wei Tao; Chang Li 001; Juan Cheng (GlobalSIP, 2019)

Infrared and Visible Image Fusion via Multi-discriminators Wasserstein Generative Adversarial Network. - Jing Li 040; Hongtao Huo; Kejian Liu; Chang Li 001; Shuo Li; Xin Yang (ICMLA, 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)

Poisson Reconstruction-Based Fusion of Infrared and Visible Images via Saliency Detection. - Jing Li 040; Hongtao Huo; Chenhong Sui; Chenchen Jiang; Chang Li 001 (IEEE Access, 2019)

Infrared and visible image fusion methods and applications: A survey. - Jiayi Ma 001; Yong Ma 001; Chang Li 001 (Inf. Fusion, 2019)

FusionGAN: A generative adversarial network for infrared and visible image fusion. - Jiayi Ma 001; Wei Yu 018; Pengwei Liang; Chang Li 001; Junjun Jiang (Inf. Fusion, 2019)

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)

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)

Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance. - Jing Li 040; Hongtao Huo; Kejian Liu; Chang Li 001 (Inf. Sci., 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)

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)

Unsupervised Manifold-Preserving and Weakly Redundant Band Selection Method for Hyperspectral Imagery. - Chenhong Sui; Chang Li 001; Jie Feng 003; Xiaoguang Mei (IEEE Trans. Geosci. Remote. Sens., 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)

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)

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)

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)

Multigrained Attention Network for Infrared and Visible Image Fusion. - Jing Li 040; Hongtao Huo; Chang Li 001; Renhua Wang; Chenhong Sui; Zhao Liu (IEEE Trans. Instrum. Meas., 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)

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)

Plane-Wave Image Reconstruction via Generative Adversarial Network and Attention Mechanism. - Jiahua Tang; Bao Zou; Chang Li 001; Shuai Feng; Hu Peng (IEEE Trans. Instrum. Meas., 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)

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)

AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks. - Jing Li 040; Hongtao Huo; Chang Li 001; Renhua Wang; Qi Feng (IEEE Trans. Multim., 2021)

Dual-branch body and boundary supervision network for ultrasound image segmentation. - Wentao Liao; Guoping Xu; Xinglong Wu; Xuan Zhang; Chang Li 001 (BIBM, 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)

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)

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)

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)

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)

Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression. - Chenhong Sui; Jun Zhou 001; Chang Li 001; Qiang Zheng; Jie Feng 003; Xiaoguang Mei; Jing Wang 062 (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)

MGFuseSeg: Attention-Guided Multi-Granularity Fusion for Medical Image Segmentation. - Guoping Xu; Xuesong Leng; Chang Li 001; Xingwei He 005; Xinglong Wu (BIBM, 2023)

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

Graph Representation Learning for Infrared and Visible Image Fusion. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma; Edwin R. Hancock (CoRR, 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)

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)

TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer. - Jing Li 040; Bin Yang 008; Lu Bai 001; Hao Dou; Chang Li 001; Lingfei Ma (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)

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)

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)

EEG-based sleep staging via self-attention based capsule network with Bi-LSTM model. - Jin Chen; Zhihui Han; Heyuan Qiao; Chang Li 001; Hu Peng (Biomed. Signal Process. Control., 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)

Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation. - Guoping Xu; Wentao Liao; Xuan Zhang; Chang Li 001; Xinwei He; Xinglong Wu (Pattern Recognit., 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)

DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation. - Guoping Xu; Ximing Wu; Wentao Liao; Xinglong Wu; Qing Huang; Chang Li 001 (CoRR, 2024)

An improved you only look once algorithm for pronuclei and blastomeres localization. - Xinghao Dong; Chang Li 001; Xu Zhang; Guoning Huang; Xiaodong Zhang (Eng. Appl. Artif. Intell., 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)

Video-Based Respiration Rate Measurement With Adaptive Filtering and Quality-Guided Pulse Selection. - Rencheng Song; Wei Zhao; Juan Cheng; Chang Li 001; Xuezhi Yang (IEEE Trans. Instrum. Meas., 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)

A pixel and channel enhanced up-sampling module for biomedical image segmentation. - Xuan Zhang; Guoping Xu; Xinglong Wu; Wentao Liao; Xuesong Leng; Xiaxia Wang 005; Xinwei He; Chang Li 001 (Mach. Vis. Appl., 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)

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)

Video-based heart rate estimation with spectrogram signal quality ranking and fusion. - Rencheng Song; Zhenzhou Du; Juan Cheng; Chang Li 001; Xuezhi Yang (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)

Graph Representation Learning for Infrared and Visible Image Fusion. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma (IEEE Trans Autom. Sci. 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)

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)

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)

Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma; Lixin Cui; Edwin R. Hancock (IEEE Trans. Intell. Transp. Syst., 2025)