Changgee Chang

According to our database, Changgee Chang authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Robust knowledge-guided biclustering for multi-omics data.

Qiyiwen Zhang, Changgee Chang, Qi Long

Briefings Bioinform., January, 2024

2023

Integrative learning of structured high-dimensional data from multiple datasets.

Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long

Stat. Anal. Data Min., April, 2023

Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.

Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long

Briefings Bioinform., March, 2023

2021

Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data.

Wenli Sun, Changgee Chang, Qi Long

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

GRIA: Graphical Regularization for Integrative Analysis.

Changgee Chang, Jihwan Oh, Qi Long

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data.

Wenli Sun, Changgee Chang, Qi Long

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Knowledge-Guided Biclustering via Sparse Variational EM Algorithm.

Changgee Chang, Eun Jeong Min, Jihwan Oh, Qi Long

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features.

Wenli Sun, Changgee Chang, Qi Long

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data.

Eun Jeong Min, Changgee Chang, Qi Long

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data.

Wenli Sun, Changgee Chang, Yize Zhao, Qi Long

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018