Ye-tian Fan

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
Enhance the Hidden Structure of Deep Neural Networks by Double Laplacian Regularization.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

A Bayesian model for identifying cancer subtypes from paired methylation profiles.
Briefings Bioinform., January, 2023

2022
A backpropagation learning algorithm with graph regularization for feedforward neural networks.
Inf. Sci., 2022

Discounted-Cost Linear Quadratic Output Regulation of Switched Linear Systems.
Circuits Syst. Signal Process., 2022

2017
Prediction of essential proteins based on subcellular localization and gene expression correlation.
BMC Bioinform., 2017

Integrating extra knowledge into word embedding models for biomedical NLP tasks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A novel algorithm for identifying essential proteins by integrating subcellular localization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
An Algorithm for Motif Discovery with Iteration on Lengths of Motifs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
A pruning algorithm with L 1/2 regularizer for extreme learning machine.
J. Zhejiang Univ. Sci. C, 2014

A Proof of a Key Formula in the Error-Backpropagation Learning Algorithm for Multiple Spiking Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014


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