Changgee Chang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Support Vector Machine

Factor Analysis

Biological Information

Top Venues

Briefings Bioinform.

Publications

Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long
Integrative learning of structured high-dimensional data from multiple datasets. Stat. Anal. Data Min. 16 (2) (2023)
Qiyiwen Zhang, Changgee Chang, Qi Long
Robust knowledge-guided biclustering for multi-omics data. Briefings Bioinform. 25 (1) (2023)
Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis. Briefings Bioinform. 24 (2) (2023)
Wenli Sun, Changgee Chang, Qi Long
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data. IEEE BigData (2021)
Wenli Sun, Changgee Chang, Qi Long
Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data. DSAA (2020)
Changgee Chang, Jihwan Oh, Qi Long
GRIA: Graphical Regularization for Integrative Analysis. SDM (2020)
Changgee Chang, Eun Jeong Min, Jihwan Oh, Qi Long
Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. ICBK (2019)
Wenli Sun, Changgee Chang, Qi Long
Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features. IEEE BigData (2019)
Wenli Sun, Changgee Chang, Yize Zhao, Qi Long
Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data. IEEE BigData (2018)
Eun Jeong Min, Changgee Chang, Qi Long
Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data. DSAA (2018)