Yifeng Li

Enter the Matrix: Factorization Uncovers Knowledge from Omics

Alexander V. Favorov, Genevieve L. Stein-O’Brien, R. Arora, 2018, Trends in genetics : TIG.

Enter the matrix: Interpreting unsupervised feature learning with matrix decomposition to discover hidden knowledge in high-throughput omics data

Aedín C. Culhane, Casey S. Greene, Raman Arora, 2017, bioRxiv.

A review on machine learning principles for multi-view biological data integration

Alioune Ngom, Fang-Xiang Wu, Yifeng Li, 2016, Briefings Bioinform..

Advances in multi-view matrix factorizations

Yifeng Li, Yifeng Li, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Data integration in machine learning

Alioune Ngom, Yifeng Li, A. Ngom, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine

Yifeng Li, Youlian Pan, Jinfeng Zou, 2019, Neurocomputing.

Capsule Deep Generative Model That Forms Parse Trees

Richard Naud, Yifeng Li, Pengcheng Xi, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling

Yifeng Li, Xiao-Dan Zhu, Xiao-Dan Zhu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Enter the Matrix: Factorization Uncovers Knowledge from Omics

Alexander V. Favorov, R. Arora, L. Goff, 2018, Trends in genetics : TIG.