Jingwen Yan
Orcid: 0000-0002-6153-3519
According to our database1,
Jingwen Yan
authored at least 107 papers
between 2008 and 2024.
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Bibliography
2024
IEEE Internet Things J., 2024
2023
Digit. Signal Process., November, 2023
MP-Net: An efficient and precise multi-layer pyramid crop classification network for remote sensing images.
Comput. Electron. Agric., September, 2023
Biomed. Signal Process. Control., August, 2023
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting.
Neurocomputing, March, 2023
Knowl. Based Syst., 2023
Error-distribution-free kernel extreme learning machine for traffic flow forecasting.
Eng. Appl. Artif. Intell., 2023
2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Remote. Sens., 2022
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Medical Image Anal., 2022
Road Segmentation from High-Fidelity Remote Sensing Images using a Context Information Capture Network.
Cogn. Comput., 2022
Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation.
IEEE Access, 2022
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the 3rd International Conference on Computer Engineering and Intelligent Control Virtual Event, 2022
2021
Wirel. Commun. Mob. Comput., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
E-D-Net: Automatic Building Extraction From High-Resolution Aerial Images With Boundary Information.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images.
Sensors, 2021
Medical Image Anal., 2021
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease.
Briefings Bioinform., 2021
IEEE Access, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021
Proceedings of the Human Centered Computing - 7th International Conference, 2021
2020
Symmetry, 2020
Sensors, 2020
Sensors, 2020
Hyperspectral Estimation of Soil Organic Matter Content using Different Spectral Preprocessing Techniques and PLSR Method.
Remote. Sens., 2020
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes.
Int. J. Comput. Biol. Drug Des., 2020
Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach.
IEEE Access, 2020
IEEE Access, 2020
Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images.
IEEE Access, 2020
2019
Parameter Estimation of Decaying DC Component via Improved Levenberg-Marquardt Algorithm.
Trans. Edutainment, 2019
Parameter identification of a nonlinear model using an improved version of simulated annealing.
Int. J. Distributed Sens. Networks, 2019
A novel semi-empirical supervised model of vortex-induced vertical force on a flat closed-box bridge deck.
Int. J. Distributed Sens. Networks, 2019
Region-division-based joint sparse representation classification for hyperspectral images.
IET Image Process., 2019
Corrigendum to "Seismic signal sparse time-frequency representation by Lp-quasinorm constraint" [Digital Signal Processing 87 (2019) 43-59].
Digit. Signal Process., 2019
Digit. Signal Process., 2019
IEEE Access, 2019
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.
IEEE Access, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
A Customized Convolutional Neural Network with Low Model Complexity for JPEG Steganalysis.
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2019
Proceedings of the Image and Graphics - 10th International Conference, 2019
Adaptive and Rotating Non-local Weighted Joint Sparse Representation Classification for Hyperspectral Images.
Proceedings of the Image and Graphics - 10th International Conference, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Disruption of gene co-expression network along the progression of Alzheimer's disease.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol., 2018
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
Bioinform., 2018
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform., 2018
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data.
Briefings Bioinform., 2018
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics, 2017
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 2017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform., 2017
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
Proceedings of the Research in Computational Molecular Biology, 2017
Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model.
Proceedings of the Information Processing in Medical Imaging, 2017
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Image and Graphics - 9th International Conference, 2017
Proceedings of the Image and Graphics - 9th International Conference, 2017
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
A Novel Real-Time Tracking Algorithm Using Spatio-Temporal Context and Color Histogram.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017
2016
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics, 2016
Multim. Tools Appl., 2016
BMC Syst. Biol., 2016
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.
Bioinform., 2016
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.
BioData Min., 2016
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Modulation assisted preprocessing for non-binary LDPC decoding with extended min-sum algorithm.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
J. Sensors, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
2014
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning.
IEEE Trans. Medical Imaging, 2014
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinform., 2014
Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data.
Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Algorithm for image fusion based on orthogonal grouplet transform and pulse-coupled neural network.
J. Electronic Imaging, 2013
Neurocomputing, 2013
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.
Proceedings of the Information Processing in Medical Imaging, 2013
2012
Modified Iterative-Learning-Control-Based Ramp Metering Strategies for Freeway Traffic Control With Iteration-Dependent Factors.
IEEE Trans. Intell. Transp. Syst., 2012
Learning an Adaptive Dictionary Using a Projected Gradient Method and its Application on Image de-noising.
Int. J. Wavelets Multiresolution Inf. Process., 2012
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform., 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
A Complementary Modularized Ramp Metering Approach Based on Iterative Learning Control and ALINEA.
IEEE Trans. Intell. Transp. Syst., 2011
Proceedings of the Sixth International Conference on Image and Graphics, 2011
2008
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
A novel inter-scale correlation image denoising method based on Dual-tree M-band wavelet.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
The cycle spinning-based sharp frequency localized contourlet transform for image denoising.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008