Kefei Liu

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 35

Top Topics

Comparative Study

Top Venues

Digit. Signal Process.

Medical Image Anal.

Publications

Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. 76 (2022)
Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. BMC Bioinform. (3) (2022)
Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM (2022)
Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen
A structural enriched functional network: An application to predict brain cognitive performance. Medical Image Anal. 71 (2021)
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. BIBE (2020)
Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen
Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. MLMI@MICCAI (2020)
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans. Medical Imaging 39 (11) (2020)
Kefei Liu, Qi Long, Li Shen
Grouping effects of sparse CCA models in variable selection. CoRR (2020)
Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA (2020)
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. 36 (Supplement-1) (2020)
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. 61 (2020)
Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. 35 (14) (2019)
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) (2019)
Kefei Liu, Li Shen, Hui Jiang
Joint between-sample normalization and differential expression detection through ℓ 0-regularized regression. BMC Bioinform. (16) (2019)
Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. MBIA/MFCA@MICCAI (2019)
Kefei Liu, Jieping Ye, Yang Yang, Li Shen, Hui Jiang
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI (2019)
Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico, Shannon L. Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. ISBI (2018)
Kefei Liu, Li Shen, Hui Jian
A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data. BIBM (2018)
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM (2018)
Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. 34 (2) (2018)
Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33 (20) (2017)
Kefei Liu, Florian Roemer, João Paulo Carvalho Lustosa da Costa, Jie Xiong, Yi-Sheng Yan, Wen-Qin Wang, Giovanni Del Galdo
Tensor-based sparsity order estimation for big data applications. EUSIPCO (2017)
Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI (2017)
Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI (2017)
Jie Xiong, Kefei Liu, João Paulo Carvalho Lustosa da Costa, Wen-Qin Wang
Bayesian information criterion for multidimensional sinusoidal order selection. ICASSP (2017)
Kefei Liu, Hui Cao, Hing-Cheung So, Andreas Jakobsson
Multi-dimensional sinusoidal order estimation using angles between subspaces. Digit. Signal Process. 64 (2017)
Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI (2017)
Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI (2017)
Kefei Liu, João Paulo C. L. da Costa, Hing-Cheung So, Lei Huang, Jieping Ye
Detection of number of components in CANDECOMP/PARAFAC models via minimum description length. Digit. Signal Process. 51 (2016)
Kefei Liu, Lei Huang, Hing-Cheung So, Jieping Ye
Multidimensional folding for sinusoidal order selection. Digit. Signal Process. 48 (2016)
Lei Huang, Yu-Hang Xiao, Kefei Liu, Hing-Cheung So, Jian-Kang Zhang
Bayesian Information Criterion for Source Enumeration in Large-Scale Adaptive Antenna Array. IEEE Trans. Veh. Technol. 65 (5) (2016)
Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM (2016)
Lei Huang, Jun Fang, Kefei Liu, Hing-Cheung So, Hongbin Li
An Eigenvalue-Moment-Ratio Approach to Blind Spectrum Sensing for Cognitive Radio Under Sample-Starving Environment. IEEE Trans. Veh. Technol. 64 (8) (2015)
Ricardo Kehrle Miranda, João Paulo Carvalho Lustosa da Costa, Marco A. M. Marinho, Edison Pignaton de Freitas, Rafael de Freitas Ramos, Kefei Liu, Hing-Cheung So, Leonardo Gomes Baltar, Rafael Timóteo de Sousa Júnior
Evaluation of Space-Time-Frequency (STF)-Coded MIMO-OFDM Systems in Realistic Channel Models. AINA Workshops (2014)
Kefei Liu, Hing-Cheung So, João Paulo Carvalho Lustosa da Costa, Lei Huang
Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in parafac models. ICASSP (2013)
Marco A. M. Marinho, Ronaldo S. Ferreira Jr., João Paulo Carvalho Lustosa da Costa, Edison Pignaton de Freitas, Felix Antreich, Kefei Liu, Hing-Cheung So, Rafael Timóteo de Sousa Júnior, Ricardo Zelenovsky
Antenna Array Based Positioning Scheme for Unmanned Aerial Vehicles. WSA (2013)
João Paulo Carvalho Lustosa da Costa, Kefei Liu, Hing-Cheung So, Stefanie Schwarz, Martin Haardt, Florian Römer
Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure. Signal Process. 93 (11) (2013)
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Lei Huang
Subspace techniques for multidimensional model order selection in colored noise. Signal Process. 93 (7) (2013)
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, André Lima Férrer de Almeida
Semi-Blind Receivers for Joint Symbol and Channel Estimation in Space-Time-Frequency MIMO-OFDM Systems. IEEE Trans. Signal Process. 61 (21) (2013)
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Rafael Timóteo de Sousa Júnior
Iterative prewhitening for multidimensional harmonic retrieval: New variants and comparative study. CAMSAP (2013)
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Florian Roemer, Lei Huang, Rafael Timóteo de Sousa Júnior
On the use of order selection rules for accurate parameter estimation in threshold region. EUSIPCO (2013)
Kefei Liu, Hing-Cheung So, João Paulo Carvalho Lustosa da Costa, Florian Römer, Lei Huang
Efficient source enumeration for accurate direction-of-arrival estimation in threshold region. Digit. Signal Process. 23 (5) (2013)
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Florian Römer, Martin Haardt, Luiz F. de A. Gadêlha
3-D Unitary ESPRIT: Accurate attitude estimation for unmanned aerial vehicles with a hexagon-shaped ESPAR array. Digit. Signal Process. 23 (3) (2013)
Kefei Liu, Hing-Cheung So, Lei Huang
A multi-dimensional model order selection criterion with improved identifiability. ICASSP (2012)
Ronaldo S. Ferreira, Marco A. M. Marinho, Kefei Liu, João Paulo Carvalho Lustosa da Costa, Arthur V. Amaral, Hing-Cheung So
Improved landing radio altimeter for unmanned aerial vehicles based on an antenna array. ICUMT (2012)
Xiaojing Ye, Kefei Liu, Meizhu Liu
Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL (2011)
Meizhu Liu, Kefei Liu, Xiaojing Ye
Find the intrinsic space for multiclass classification. ISABEL (2011)
Sheng Hong, Dongkai Yang, Kefei Liu, Xiaoxiang He, Manos M. Tentzeris
Robust passive beamformer using bridge function sequences as weights. IEICE Electron. Express 6 (16) (2009)