Yunchuan Kong

According to our database, Yunchuan Kong authored at least 7 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

BraceNet: Graph-Embedded Neural Network For Brain Network Analysis.

Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo

Proceedings of the IEEE International Conference on Big Data, 2022

2020

forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction.

Yunchuan Kong, Tianwei Yu

Bioinform., 2020

2019

DNLC: differential network local consistency analysis.

Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu

BMC Bioinform., December, 2019

forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction.

Yunchuan Kong, Tianwei Yu

CoRR, 2019

2018

A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data.

Yunchuan Kong, Tianwei Yu

Bioinform., 2018

2017

A Bayesian Method for Joint Clustering of Vectorial Data and Network Data.

Yunchuan Kong, Xiaodan Fan

CoRR, 2017

2015

zoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression.

Fang Liu, Yunchuan Kong

R J., 2015