Yunchuan Kong

According to our database, Yunchuan Kong authored at least 8 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions.

Jianheng Ling, Pratik Worah, Yawen Wang, Yunchuan Kong, Chunlei Wang, Clifford Stein, Diwakar Gupta, Jason Behmer, Logan A. Bush, Prakash Ramanan, Rajesh Kumar, Thomas Chestna, Yajing Liu, Ying Liu, Ye Zhao, Kathryn S. McKinley, Meeyoung Park, Martin Maas

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

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