Jingwen Yan

According to our database1, Jingwen Yan authored at least 71 papers between 2011 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

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.
IJDSN, 2019

A novel semi-empirical supervised model of vortex-induced vertical force on a flat closed-box bridge deck.
IJDSN, 2019

Region-division-based joint sparse representation classification for hyperspectral images.
IET Image Processing, 2019

Corrigendum to "Seismic signal sparse time-frequency representation by Lp-quasinorm constraint" [Digital Signal Processing 87 (2019) 43-59].
Digit. Signal Process., 2019

Seismic signal sparse time-frequency representation by Lp-quasinorm constraint.
Digit. Signal Process., 2019

Hyperspectral Image Classification Based on Adaptive Sparse Deep Network.
CoRR, 2019

Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation.
IEEE Access, 2019

Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.
IEEE Access, 2019

A Cascaded Multi-modality Analysis in Mild Cognitive Impairment.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Multi-modal Image Prediction via Spatial Hybrid U-Net.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Rapid Acceleration of the Permutation Test via Transpositions.
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

Road Detection of Remote Sensing Image Based on Convolutional Neural Network.
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

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis.
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
GPU Accelerated Browser for Neuroimaging Genomics.
Neuroinformatics, 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 in Bioinformatics, 2018

Heritability Estimation of Reliable Connectomic Features.
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

A Fine-Grained Filtered Viewpoint Informed Keypoint Prediction from 2D Images.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
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

An Algorithm for Tight Frame Grouplet to Compute Association Fields.
Proceedings of the Image and Graphics - 9th International Conference, 2017

Research on Color Image Segmentation.
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

Target detection for SAR images based on beamlet transform.
Multim. Tools Appl., 2016

Structured sparse CCA for brain imaging genetics via graph OSCAR.
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
Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform.
J. Sensors, 2015

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut.
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. Med. 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

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics.
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

Data synthesis and method evaluation for brain imaging genetics.
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

Interactive object extraction by merging regions with k-global maximal similarity.
Neurocomputing, 2013

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis.
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.
IJWMIP, 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

Measurement Matrix of Compressive Sensing Based on Gram-Schmidt Orthogonalization.
Proceedings of the Sixth International Conference on Image and Graphics, 2011


  Loading...