Kefei Liu

51 papers C 1Misc 4Journal 24Unranked 22
YearRankTypeTitle / Venue / Authors
2026 — conf
Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation.
EACL (Industry Track)
Kefei Liu, Meizhu Liu
2022 J jnl
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.
BMC Bioinform.
Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2022 J jnl
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Medical Image Anal.
Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
2022 — conf
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.
BIBM
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
2021 J jnl
A structural enriched functional network: An application to predict brain cognitive performance.
Medical Image Anal.
Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen
2021 J jnl
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020 J jnl
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
IEEE Trans. Medical Imaging
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen
2020 C conf
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.
BIBE
Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2020 J jnl
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Medical Image Anal.
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020 J jnl
Grouping effects of sparse CCA models in variable selection.
CoRR
Kefei Liu, Qi Long, Li Shen
2020 J jnl
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinform.
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2020 Misc conf
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
AMIA
Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen
2020 — conf
Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet.
MLMI@MICCAI
Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen
2019 — conf
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics.
MICCAI (4)
Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2019 J jnl
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Kefei Liu, Jieping Ye, Yang Yang, Li Shen, Hui Jiang
2019 — conf
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis.
ISBI
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019 J jnl
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Bioinform.
Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019 J jnl
Joint between-sample normalization and differential expression detection through ℓ 0-regularized regression.
BMC Bioinform.
Kefei Liu, Li Shen, Hui Jiang
2019 — conf
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
MBIA/MFCA@MICCAI
Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning
2018 — conf
A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data.
BIBM
Kefei Liu, Li Shen, Hui Jian
2018 J jnl
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform.
Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018 — conf
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
BIBM
Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018 — conf
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model.
ISBI
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
2017 — conf
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics.
GRAIL/MFCA/MICGen@MICCAI
Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2017 Misc conf
Bayesian information criterion for multidimensional sinusoidal order selection.
ICASSP
Jie Xiong, Kefei Liu, João Paulo Carvalho Lustosa da Costa, Wen-Qin Wang
2017 — conf
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach.
IPMI
Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen
2017 J jnl
Multi-dimensional sinusoidal order estimation using angles between subspaces.
Digit. Signal Process.
Kefei Liu, Hui Cao, Hing-Cheung So, Andreas Jakobsson
2017 — conf
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model.
IPMI
Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017 — conf
Tensor-based sparsity order estimation for big data applications.
EUSIPCO
Kefei Liu, Florian Roemer, João Paulo Carvalho Lustosa da Costa, Jie Xiong, Yi-Sheng Yan, Wen-Qin Wang, Giovanni Del Galdo
2017 J jnl
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform.
Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
2017 — conf
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
GRAIL/MFCA/MICGen@MICCAI
Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
2016 J jnl
Bayesian Information Criterion for Source Enumeration in Large-Scale Adaptive Antenna Array.
IEEE Trans. Veh. Technol.
Lei Huang, Yu-Hang Xiao, Kefei Liu, Hing-Cheung So, Jian-Kang Zhang
2016 J jnl
Detection of number of components in CANDECOMP/PARAFAC models via minimum description length.
Digit. Signal Process.
Kefei Liu, João Paulo C. L. da Costa, Hing-Cheung So, Lei Huang, Jieping Ye
2016 J jnl
Multidimensional folding for sinusoidal order selection.
Digit. Signal Process.
Kefei Liu, Lei Huang, Hing-Cheung So, Jieping Ye
2016 — conf
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics.
BIBM
Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2015 J jnl
An Eigenvalue-Moment-Ratio Approach to Blind Spectrum Sensing for Cognitive Radio Under Sample-Starving Environment.
IEEE Trans. Veh. Technol.
Lei Huang, Jun Fang, Kefei Liu, Hing-Cheung So, Hongbin Li
2014 — conf
Evaluation of Space-Time-Frequency (STF)-Coded MIMO-OFDM Systems in Realistic Channel Models.
AINA Workshops
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
2013 J jnl
3-D Unitary ESPRIT: Accurate attitude estimation for unmanned aerial vehicles with a hexagon-shaped ESPAR array.
Digit. Signal Process.
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Florian Römer, Martin Haardt, Luiz F. de A. Gadêlha
2013 — conf
Antenna Array Based Positioning Scheme for Unmanned Aerial Vehicles.
WSA
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
2013 Misc conf
Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in parafac models.
ICASSP
Kefei Liu, Hing-Cheung So, João Paulo Carvalho Lustosa da Costa, Lei Huang
2013 J jnl
Efficient source enumeration for accurate direction-of-arrival estimation in threshold region.
Digit. Signal Process.
Kefei Liu, Hing-Cheung So, João Paulo Carvalho Lustosa da Costa, Florian Römer, Lei Huang
2013 — conf
Iterative prewhitening for multidimensional harmonic retrieval: New variants and comparative study.
CAMSAP
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Rafael Timóteo de Sousa Júnior
2013 J jnl
Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure.
Signal Process.
João Paulo Carvalho Lustosa da Costa, Kefei Liu, Hing-Cheung So, Stefanie Schwarz, Martin Haardt, Florian Römer
2013 — conf
On the use of order selection rules for accurate parameter estimation in threshold region.
EUSIPCO
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Florian Roemer, Lei Huang, Rafael Timóteo de Sousa Júnior
2013 J jnl
Semi-Blind Receivers for Joint Symbol and Channel Estimation in Space-Time-Frequency MIMO-OFDM Systems.
IEEE Trans. Signal Process.
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, André Lima Férrer de Almeida
2013 J jnl
Subspace techniques for multidimensional model order selection in colored noise.
Signal Process.
Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, Lei Huang
2012 Misc conf
A multi-dimensional model order selection criterion with improved identifiability.
ICASSP
Kefei Liu, Hing-Cheung So, Lei Huang
2012 — conf
Improved landing radio altimeter for unmanned aerial vehicles based on an antenna array.
ICUMT
Ronaldo S. Ferreira, Marco A. M. Marinho, Kefei Liu, João Paulo Carvalho Lustosa da Costa, Arthur V. Amaral, Hing-Cheung So
2011 — conf
Efficient minimization for dictionary based sparse representation and signal recovery.
ISABEL
Xiaojing Ye, Kefei Liu, Meizhu Liu
2011 — conf
Find the intrinsic space for multiclass classification.
ISABEL
Meizhu Liu, Kefei Liu, Xiaojing Ye
2009 J jnl
Robust passive beamformer using bridge function sequences as weights.
IEICE Electron. Express
Sheng Hong, Dongkai Yang, Kefei Liu, Xiaoxiang He, Manos M. Tentzeris