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Kefei Liu
Kefei Liu
Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
Verified email at pennmedicine.upenn.edu
Title
Cited by
Cited by
Year
Semi-blind receivers for joint symbol and channel estimation in space-time-frequency MIMO-OFDM systems
K Liu, JPCL da Costa, HC So, ALF de Almeida
IEEE Transactions on Signal Processing 61 (21), 5444-5457, 2013
712013
An eigenvalue-moment-ratio approach to blind spectrum sensing for cognitive radio under sample-starving environment
L Huang, J Fang, K Liu, HC So, H Li
IEEE Transactions on Vehicular Technology 64 (8), 3465-3480, 2015
652015
Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach
L Du, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Guo, L Shen
Medical image analysis 61, 101656, 2020
592020
Detection of number of components in CANDECOMP/PARAFAC models via minimum description length
K Liu, JPCL da Costa, HC So, L Huang, J Ye
Digital Signal Processing 51, 110-123, 2016
582016
Bayesian information criterion for source enumeration in large-scale adaptive antenna array
L Huang, Y Xiao, K Liu, HC So, JK Zhang
IEEE Transactions on Vehicular Technology 65 (5), 3018-3032, 2016
522016
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: A longitudinal study of the ADNI cohort
L Du, K Liu, L Zhu, X Yao, SL Risacher, L Guo, AJ Saykin, L Shen, ...
Bioinformatics 35 (14), i474-i483, 2019
452019
A novel SCCA approach via truncated ℓ 1-norm and truncated group lasso for brain imaging genetics
L Du, K Liu, T Zhang, X Yao, J Yan, SL Risacher, J Han, L Guo, AJ Saykin, ...
Bioinformatics 34 (2), 278-285, 2018
362018
Associating multi-modal brain imaging phenotypes and genetic risk factors via a dirty multi-task learning method
L Du, F Liu, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Shen
IEEE Transactions on Medical Imaging 39 (11), 3416-3428, 2020
342020
Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure
JPCL da Costa, K Liu, HC So, S Schwarz, M Haardt, F Roemer
Signal Processing 93 (11), 3209-3226, 2013
342013
Multi-task sparse canonical correlation analysis with application to multi-modal brain imaging genetics
L Du, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Guo, L Shen
IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …, 2019
292019
Identifying diagnosis-specific genotype–phenotype associations via joint multitask sparse canonical correlation analysis and classification
L Du, F Liu, K Liu, X Yao, SL Risacher, J Han, L Guo, AJ Saykin, L Shen, ...
Bioinformatics 36 (Supplement_1), i371-i379, 2020
272020
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules
X Yao, J Yan, K Liu, S Kim, K Nho, SL Risacher, CS Greene, JH Moore, ...
Bioinformatics 33 (20), 3250-3257, 2017
272017
Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in PARAFAC models
K Liu, HC So, JPCL da Costa, L Huang
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
212013
A structural enriched functional network: An application to predict brain cognitive performance
M Kim, J Bao, K Liu, BY Park, H Park, JY Baik, L Shen
Medical image analysis 71, 102026, 2021
172021
Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach
L Du, T Zhang, K Liu, J Yan, X Yao, SL Risacher, AJ Saykin, J Han, L Guo, ...
25th International Conference on Information Processing in Medical Imaging …, 2017
172017
Subspace techniques for multidimensional model order selection in colored noise
K Liu, JPCL da Costa, HC So, L Huang
Signal Processing 93 (7), 1976-1987, 2013
172013
Antenna array based positioning scheme for unmanned aerial vehicles
MAM Marinho, RS Ferreira Júnior, JPCL da Costa, EP de Freitas, ...
WSA 2013; 17th International ITG Workshop on Smart Antennas, 1-6, 2013
162013
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics
M Kim, EJ Min, K Liu, J Yan, AJ Saykin, JH Moore, Q Long, L Shen
Medical Image Analysis 76, 102297, 2022
152022
Fast multi-task SCCA learning with feature selection for multi-modal brain imaging genetics
L Du, K Liu, X Yao, SL Risacher, J Han, L Guo, AJ Saykin, L Shen, ...
2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018
152018
A unified model for joint normalization and differential gene expression detection in RNA-seq data
K Liu, J Ye, Y Yang, L Shen, H Jiang
IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2018
142018
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