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Yunchuan Kong
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2020 – today
- 2022
- [c1]Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo:
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. IEEE Big Data 2022: 4979-4987 - 2020
- [j4]Yunchuan Kong, Tianwei Yu:
forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction. Bioinform. 36(11): 3507-3515 (2020)
2010 – 2019
- 2019
- [j3]Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu:
DNLC: differential network local consistency analysis. BMC Bioinform. 20-S(15): 489 (2019) - [i2]Yunchuan Kong, Tianwei Yu:
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction. CoRR abs/1905.09889 (2019) - 2018
- [j2]Yunchuan Kong, Tianwei Yu:
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. Bioinform. 34(21): 3727-3737 (2018) - 2017
- [i1]Yunchuan Kong, Xiaodan Fan:
A Bayesian Method for Joint Clustering of Vectorial Data and Network Data. CoRR abs/1710.08846 (2017) - 2015
- [j1]Fang Liu, Yunchuan Kong:
zoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression. R J. 7(2): 34 (2015)
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last updated on 2024-08-21 21:34 CEST by the dblp team
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