Yifeng Li

According to our database1, Yifeng Li
  • authored at least 38 papers between 2005 and 2016.
  • has a "Dijkstra number"2 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2016
The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters.
Journal of Computational Biology, 2016

Advances in multi-view matrix factorizations.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

RADARSAT-2 and TerraSAR-X polarimetric data for crop growth stages estimation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Pattern classification using a new border identification paradigm: The nearest border technique.
Neurocomputing, 2015

Research of EEG change feature under +Gz acceleration.
Computers in Industry, 2015

The identification of cis-regulatory elements: A review from a machine learning perspective.
Biosystems, 2015

Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters.
Proceedings of the Research in Computational Molecular Biology, 2015

Data integration in machine learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Versatile sparse matrix factorization: Theory and applications.
Neurocomputing, 2014

A decomposition method for large-scale sparse coding in representation learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

RADARSAT-2 POLInSAR coherence optimization for agriculture crop change detection.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

The non-negative matrix factorization toolbox for biological data mining.
Source Code for Biology and Medicine, 2013

EEG Physiological Signals Correlation under Condition of +Gz Accelerations.
Journal of Multimedia, 2013

Classification approach based on non-negative least squares.
Neurocomputing, 2013

Sparse representation approaches for the classification of high-dimensional biological data.
BMC Systems Biology, 2013

Identifying Informative Genes for Prediction of Breast Cancer Subtypes.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013

A New Paradigm for Pattern Classification: Nearest Border Techniques.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Sparse Representation for Machine Learning.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Fast Kernel Sparse Representation Approaches for Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A new Kernel non-negative matrix factorization and its application in microarray data analysis.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Fast sparse representation approaches for the classification of high-dimensional biological data.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Design of Dual-Shared DRAM Controller Based on Switch.
Proceedings of the Emerging Research in Web Information Systems and Mining, 2011

Global Correlated Data Gathering in Wireless Sensor Networks with Compressive Sensing and Randomized Gossiping.
Proceedings of the Global Communications Conference, 2011

2010
Missing value imputation methods for gene-sample-time microarray data analysis.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

Alignment versus variation methods for clustering microarray time-series data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Alignment-based versus variation-based transformation methods for clustering microarray time-series data.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2008
A Wrapper Feature Selection Method Based on Simulated Annealing Algorithm for Prostate Protein Mass Spectrometry Data.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

Genetic algorithm based feature selection for mass spectrometry data.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2005
SWAT: A New Spliced Alignment Tool Tailored for Handling More Sequencing Errors.
Proceedings of the Computational Science, 2005


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