Yifeng Li

发表

Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

W. Wasserman, Yifeng Li, Wenqiang Shi, 2016, BMC Bioinformatics.

Genome-Wide Prediction of cis-Regulatory Regions Using Supervised Deep Learning Methods

W. Wasserman, Yifeng Li, Wenqiang Shi, 2016, bioRxiv.

YeastNet: Deep Learning Enabled Accurate Segmentation of Budding Yeast Cells in Bright-field Microscopy

Mads Kærn, Mads Kaern, Yifeng Li, 2020, bioRxiv.

Non-Negative Matrix and Tensor Factorization Methods for Microarray Data Analysis

A. Ngom, Yifeng Li, 2010 .

Properties and algorithms of the (n, k)-arrangement graphs

Yifeng Li, 2010 .

A role for YY1 in sex-biased transcription revealed through X-linked promoter activity and allelic binding analyses

David J. Arenillas, Carolyn J. Brown, Piero Carninci, 2016, bioRxiv.

YY1 binding association with sex-biased transcription revealed through X-linked transcript levels and allelic binding analyses

David J. Arenillas, Carolyn J. Brown, Piero Carninci, 2016, Scientific Reports.

Strain screening and optimization of biohydrogen production by Enterobacter aerogenes EB-06 from glycerol fermentation

W. Tan, Yifeng Li, Xu Zhang, 2019, Bioresources and Bioprocessing.

Sparse machine learning models in bioinformatics

Alioune Ngom, Luis Rueda, Yifeng Li, 2014 .

Sparse representation approaches for the classification of high-dimensional biological data

Alioune Ngom, Yifeng Li, A. Ngom, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

W. Wasserman, Yifeng Li, Wenqiang Shi, 2016, bioRxiv.

The identification of cis-regulatory elements: A review from a machine learning perspective

Chih-Yu Chen, Wyeth W Wasserman, Yifeng Li, 2015, Biosyst..

Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters

Wyeth W. Wasserman, Yifeng Li, Chih-Yu Chen, 2015, RECOMB.

The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations

Alioune Ngom, Jie Zheng, Yifeng Li, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery

Yifeng Li, Ziying Liu, Youlian Pan, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Alignment-based versus variation-based transformation methods for clustering microarray time-series data

Alioune Ngom, Luis Rueda, Yifeng Li, 2010, BCB '10.

Alignment versus variation methods for clustering microarray time-series data

Alioune Ngom, Luis Rueda, Yifeng Li, 2010, IEEE Congress on Evolutionary Computation.

Pattern classification using a new border identification paradigm: The nearest border technique

B. John Oommen, Alioune Ngom, Luis Rueda, 2015, Neurocomputing.

A New Paradigm for Pattern Classification: Nearest Border Techniques

B. John Oommen, Alioune Ngom, Luis Rueda, 2013, Australasian Conference on Artificial Intelligence.

Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data

Alioune Ngom, Yifeng Li, A. Ngom, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data

Alioune Ngom, Yifeng Li, A. Ngom, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Identifying Informative Genes for Prediction of Breast Cancer Subtypes

Alioune Ngom, Luis Rueda, Yifeng Li, 2013, PRIB.

Chinese Semantic Matching with Multi-granularity Alignment and Feature Fusion

Yifeng Li, Wenpeng Lu, Ping Jian, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data

Alioune Ngom, Yifeng Li, A. Ngom, 2013, 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

The non-negative matrix factorization toolbox for biological data mining

Alioune Ngom, Yifeng Li, A. Ngom, 2013, Source Code for Biology and Medicine.

Classification approach based on non-negative least squares

Alioune Ngom, Yifeng Li, A. Ngom, 2013, Neurocomputing.

Intra-Correlation Encoding for Chinese Sentence Intention Matching

Xu Zhang, Yifeng Li, Wenpeng Lu, 2020, COLING.

Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation

Wenpeng Lu, Rui Yu, Yifeng Li, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Missing value imputation methods for gene-sample-time microarray data analysis

Alioune Ngom, Luis Rueda, Yifeng Li, 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

The identification of cis-regulatory elements: A review from a machine learning perspective

W. Wasserman, Chih-Yu Chen, Yifeng Li, 2015, Biosyst..

Versatile sparse matrix factorization: Theory and applications

Alioune Ngom, Yifeng Li, A. Ngom, 2014, Neurocomputing.

Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis

Alioune Ngom, Yifeng Li, A. Ngom, 2013, PRIB.

A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm

Alioune Ngom, Luis Rueda, Yifeng Li, 2012, PRIB.

The non-negative matrix factorization toolbox for biological data mining

A. Ngom, Yifeng Li, 2013, Source Code for Biology and Medicine.

A decomposition method for large-scale sparse coding in representation learning

Alioune Ngom, Yifeng Li, Richard J. Caron, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Sparse Representation for Machine Learning

Yifeng Li, Yifeng Li, 2013, Canadian Conference on AI.

Fast Kernel Sparse Representation Approaches for Classification

Alioune Ngom, Yifeng Li, A. Ngom, 2012, 2012 IEEE 12th International Conference on Data Mining.

Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods

Alioune Ngom, Yifeng Li, A. Ngom, 2010, CIBB.

Sparse representation approaches for the classification of high-dimensional biological data

A. Ngom, Yifeng Li, 2013, BMC Systems Biology.