zoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression. - Fang Liu 006; Yunchuan Kong (R J., 2015)

A Bayesian Method for Joint Clustering of Vectorial Data and Network Data. - Yunchuan Kong; Xiaodan Fan (CoRR, 2017)

A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. - Yunchuan Kong; Tianwei Yu (Bioinform., 2018)

forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction. - Yunchuan Kong; Tianwei Yu (CoRR, 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., 2019)

forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction. - Yunchuan Kong; Tianwei Yu (Bioinform., 2020)

BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. - Xuan Kan; Yunchuan Kong; Tianwei Yu; Ying Guo 003 (IEEE Big Data, 2022)

LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions. - Jianheng Ling; Pratik Worah; Yawen Wang; Yunchuan Kong; Chunlei Wang; Clifford Stein 003; Diwakar Gupta; Jason Behmer; Logan A. Bush; Prakash Ramanan; Rajesh Kumar; Thomas Chestna; et al. (CoRR, 2024)