PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach. - Jihwan Ha; Chihyun Park; Sanghyun Park 003 (BMC Syst. Biol., 2019)

Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset. - Chihyun Park; Jihwan Ha; Sanghyun Park 003 (Expert Syst. Appl., 2020)

Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition. - Minsoo Cho; Jihwan Ha; Chihyun Park; Sanghyun Park 003 (J. Biomed. Informatics, 2020)

IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization. - Jihwan Ha; Chihyun Park; Chanyoung Park; Sanghyun Park 003 (J. Biomed. Informatics, 2020)

MLMD: Metric Learning for Predicting MiRNA-Disease Associations. - Jihwan Ha; Chihyun Park (IEEE Access, 2021)

NCMD: Node2vec-Based Neural Collaborative Filtering for Predicting MiRNA-Disease Association. - Jihwan Ha; Sanghyun Park 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association. - Jihwan Ha (Knowl. Based Syst., 2023)

LncRNA Expression Profile-Based Matrix Factorization for Predicting lncRNA- Disease Association. - Jihwan Ha (IEEE Access, 2024)

GMFLDA: Improved Prediction of lncRNA-Disease Association via Graph Convolutional Network. - Kwang Su Kim; Jihwan Ha (IEEE Access, 2025)