Zhenqiu Liu

Orcid: 0000-0003-1535-4322

According to our database1, Zhenqiu Liu authored at least 34 papers between 2003 and 2021.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2021
LRPBFT-Algorithm-Based Consortium Blockchain Traceability Scheme of Dangerous Goods in Commercial Ports.
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

2019
Sparse support vector machines with <i>L</i><sub>0</sub> approximation for ultra-high dimensional omics data.
Artif. Intell. Medicine, 2019

2018
Broken adaptive ridge regression and its asymptotic properties.
J. Multivar. Anal., 2018

2017
Sparse generalized linear model with L 0 approximation for feature selection and prediction with big omics data.
BioData Min., 2017

2016
Zero-Inflated Beta Regression for Differential Abundance Analysis with Metagenomics Data.
J. Comput. Biol., 2016

Sparse Inverse Covariance Estimation with <i>L</i><sub>0</sub> Penalty for Network Construction with Omics Data.
J. Comput. Biol., 2016

Nonparametric Regularized Regression for Phenotype-Associated Taxa Selection and Network Construction with Metagenomic Count Data.
J. Comput. Biol., 2016

Efficient Regularized Regression with L<sub>0</sub> Penalty for Variable Selection and Network Construction.
Comput. Math. Methods Medicine, 2016

2015
Network tuned multiple rank aggregation and applications to gene ranking.
BMC Bioinform., 2015

Multilevel regularized regression for simultaneous taxa selection and network construction with metagenomic count data.
Bioinform., 2015

Network construction and structure detection with metagenomic count data.
BioData Min., 2015

2014
Efficient Regularized Regression for Variable Selection with L0 Penalty.
CoRR, 2014

2011
Sparse distance-based learning for simultaneous multiclass classification and feature selection of metagenomic data.
Bioinform., 2011

2010
Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Kernel based methods for accelerated failure time model with ultra-high dimensional data.
BMC Bioinform., 2010

Survival associated pathway identification with group L<sub>p </sub>penalized global AUC maximization.
Algorithms Mol. Biol., 2010

Partial AUC for Differentiated Gene Detection.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
Survival Prediction and Gene Identification with Penalized Global AUC Maximization.
J. Comput. Biol., 2009

Gene identification and survival prediction with L<sub>p</sub> Cox regression and novel similarity measure.
Int. J. Data Min. Bioinform., 2009

2008
Classification of proteomic data with multiclass Logistic Partial Least Squares algorithm.
Int. J. Bioinform. Res. Appl., 2008

Gene and pathway identification with <i>L</i><sub><i>p </i></sub>penalized Bayesian logistic regression.
BMC Bioinform., 2008

Detecting Disease Associated Genes and Gene-Gene Interactions with Penalized AUC Maximization.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Structural Risk Minimisation based gene expression profiling analysis.
Int. J. Bioinform. Res. Appl., 2007

Cox's Proportional Hazards Model with Lp Penalty for Biomarker Identification and Survival Prediction.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Conditional Density Estimation with HMM Based Support Vector Machines.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2006
Genome-Wide Tagging SNPs with Entropy-Based Monte Carlo Method.
J. Comput. Biol., 2006

Application of Information Technology: A Method for Automatic Identification of Reliable Heart Rates Calculated from ECG and PPG Waveforms.
J. Am. Medical Informatics Assoc., 2006

2005
Clustering Gene Expression Data with Kernel Principal Components.
J. Bioinform. Comput. Biol., 2005

Logistic support vector machines and their application to gene expression data.
Int. J. Bioinform. Res. Appl., 2005

Classification of Chromosome Sequences with Entropy Kernel and LKPLS Algorithm.
Proceedings of the Advances in Intelligent Computing, 2005

Classification of Proteomic Data with Logistic Kernel Partial Least Squares Algorithm.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004
An integrated system for class prediction using gene expression profiling.
Proceedings of the 8th International Conference on Control, 2004

Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003
RBF neural networks for classification using new kernel functions.
Neural Parallel Sci. Comput., 2003


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