Kefei Liu

Orcid: 0000-0003-0737-9976

Affiliations:
  • University of Pennsylvania, The Perelman School of Medicine, USA


According to our database1, Kefei Liu authored at least 50 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Medical Image Anal., 2022

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.
BMC Bioinform., 2022

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A structural enriched functional network: An application to predict brain cognitive performance.
Medical Image Anal., 2021

2020
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
IEEE Trans. Medical Imaging, 2020

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Medical Image Anal., 2020

Grouping effects of sparse CCA models in variable selection.
CoRR, 2020

Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinform., 2020

Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
Proceedings of the AMIA 2020, 2020

2019
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Joint between-sample normalization and differential expression detection through ℓ 0-regularized regression.
BMC Bioinform., 2019

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Bioinform., 2019

Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform., 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

A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Multi-dimensional sinusoidal order estimation using angles between subspaces.
Digit. Signal Process., 2017

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 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

A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics.
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

Bayesian information criterion for multidimensional sinusoidal order selection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Tensor-based sparsity order estimation for big data applications.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Bayesian Information Criterion for Source Enumeration in Large-Scale Adaptive Antenna Array.
IEEE Trans. Veh. Technol., 2016

Multidimensional folding for sinusoidal order selection.
Digit. Signal Process., 2016

Detection of number of components in CANDECOMP/PARAFAC models via minimum description length.
Digit. Signal Process., 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
An Eigenvalue-Moment-Ratio Approach to Blind Spectrum Sensing for Cognitive Radio Under Sample-Starving Environment.
IEEE Trans. Veh. Technol., 2015

2014
Evaluation of Space-Time-Frequency (STF)-Coded MIMO-OFDM Systems in Realistic Channel Models.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2013
Semi-Blind Receivers for Joint Symbol and Channel Estimation in Space-Time-Frequency MIMO-OFDM Systems.
IEEE Trans. Signal Process., 2013

Subspace techniques for multidimensional model order selection in colored noise.
Signal Process., 2013

Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure.
Signal Process., 2013

Efficient source enumeration for accurate direction-of-arrival estimation in threshold region.
Digit. Signal Process., 2013

3-D Unitary ESPRIT: Accurate attitude estimation for unmanned aerial vehicles with a hexagon-shaped ESPAR array.
Digit. Signal Process., 2013

Antenna Array Based Positioning Scheme for Unmanned Aerial Vehicles.
Proceedings of the 17th International ITG Workshop on Smart Antennas, 2013

Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in parafac models.
Proceedings of the IEEE International Conference on Acoustics, 2013

On the use of order selection rules for accurate parameter estimation in threshold region.
Proceedings of the 21st European Signal Processing Conference, 2013

Iterative prewhitening for multidimensional harmonic retrieval: New variants and comparative study.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Improved landing radio altimeter for unmanned aerial vehicles based on an antenna array.
Proceedings of the 4th International Congress on Ultra Modern Telecommunications and Control Systems, 2012

A multi-dimensional model order selection criterion with improved identifiability.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Efficient minimization for dictionary based sparse representation and signal recovery.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Find the intrinsic space for multiclass classification.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2009
Robust passive beamformer using bridge function sequences as weights.
IEICE Electron. Express, 2009


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