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ORCIDKefei Liu 0001
Person information
- affiliation: University of Pennsylvania, The Perelman School of Medicine, USA
Other persons with the same name
- Kefei Liu 0002
![[0000-0003-4722-9438]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4722-9438")
— Peking University, Institute of Microelectronics, Beijing, China - Ke-Fei Liu 0003 (aka: Kefei Liu 0003) — Hebei University of Technology, School of Management, Tianjin, China
- Kefei Liu 0004 — Beijing University of Posts and Telecommunications, China Purple Mountain Laboratories, Nanjing, China
- Kefei Liu 0005 — Shanghai Jiao Tong University, Antai College of Economics and Management, China
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Journal Articles
- 2022
[j23]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. 23-S(3): 402 (2022)- [j22]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: 102297 (2022) - 2021
- [j21]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: 102026 (2021) - [j20]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): 227-239 (2021) - 2020
- [j19]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): i371-i379 (2020) - [j18]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: 101656 (2020) - [j17]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): 3416-3428 (2020) - 2019
- [j16]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): i474-i483 (2019) - [j15]Kefei Liu, Li Shen, Hui Jiang:
Joint between-sample normalization and differential expression detection through ℓ 0-regularized regression. BMC Bioinform. 20-S(16): 593:1-593:16 (2019) - [j14]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): 442-454 (2019) - 2018
- [j13]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): 278-285 (2018) - 2017
- [j12]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): 3250-3257 (2017) - [j11]Kefei Liu, Hui Cao, Hing-Cheung So, Andreas Jakobsson:
Multi-dimensional sinusoidal order estimation using angles between subspaces. Digit. Signal Process. 64: 17-27 (2017) - 2016
- [j10]Kefei Liu, Lei Huang, Hing-Cheung So, Jieping Ye:
Multidimensional folding for sinusoidal order selection. Digit. Signal Process. 48: 349-360 (2016) - [j9]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: 110-123 (2016) - [j8]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): 3018-3032 (2016) - 2015
- [j7]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): 3465-3480 (2015) - 2013
- [j6]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): 701-711 (2013) - [j5]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): 1668-1677 (2013) - [j4]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): 1976-1987 (2013) - [j3]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): 3209-3226 (2013) - [j2]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): 5444-5457 (2013) - 2009
- [j1]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): 1192-1198 (2009)
Conference and Workshop Papers
- 2022
- [c26]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: 541-548 - 2020
- [c25]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 - [c24]Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen:
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. BIBE 2020: 308-314 - [c23]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: 292-302 - 2019
- [c22]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: 356-359 - [c21]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: 139-148 - [c20]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: 447-455 - 2018
- [c19]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: 356-361 - [c18]Kefei Liu, Li Shen, Hui Jian:
A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data. BIBM 2018: 437-442 - [c17]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: 6-9 - 2017
- [c16]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: 648-652 - [c15]Jie Xiong, Kefei Liu, João Paulo Carvalho Lustosa da Costa, Wen-Qin Wang:
Bayesian information criterion for multidimensional sinusoidal order selection. ICASSP 2017: 3106-3110 - [c14]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: 198-209 - [c13]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: 543-555 - [c12]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: 210-219 - [c11]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: 220-229 - 2016
- [c10]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: 707-711 - 2014
- [c9]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: 310-315 - 2013
- [c8]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: 216-219 - [c7]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: 1-5 - [c6]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: 6635-6639 - [c5]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: 1-6 - 2012
- [c4]Kefei Liu, Hing-Cheung So, Lei Huang:
A multi-dimensional model order selection criterion with improved identifiability. ICASSP 2012: 2441-2444 - [c3]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: 105-113 - 2011
- [c2]Xiaojing Ye, Kefei Liu, Meizhu Liu:
Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL 2011: 105:1-105:5 - [c1]Meizhu Liu, Kefei Liu, Xiaojing Ye:
Find the intrinsic space for multiclass classification. ISABEL 2011: 106:1-106:5
Informal and Other Publications
- 2020
- [i1]Kefei Liu, Qi Long, Li Shen:
Grouping effects of sparse CCA models in variable selection. CoRR abs/2008.03392 (2020)
Coauthor Index
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