Kang, Jaewoo

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Lee, J., Yoon, W., Kim, S., Kim, D., Kim, S., So, C. H., & Kang, J. (2020) · Bioinformatics

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 7,218

Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models

Jeong, M., Sohn, J., Sung, M., & Kang, J. (2024) · Bioinformatics

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 132

ChimerDB 4.0: an updated and expanded database of fusion genes

Jang, Y. E., Jang, I., Kim, S., Cho, S., Kim, D., Kim, K., Kim, J., Hwang, J., Kim, S., Kim, J., et al. (2019) · Nucleic Acids Research

Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities

Cited by 108

Perceiver CPI: a nested cross-attention network for compound–protein interaction prediction

Nguyen, N.-Q., Jang, G., Kim, H., & Kang, J. (2023) · Bioinformatics

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 83

Improved survival analysis by learning shared genomic information from pan-cancer data

Kim, S., Kim, K., Choe, J., Lee, I., & Kang, J. (2020) · Bioinformatics

Gene expression and cancer classificationMachine Learning in Healthcare

Cited by 77

ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder

Chang, B., Choi, Y., Jeon, M., Lee, J., Han, K.-M., Kim, A., Ham, B.-J., & Kang, J. (2019) · Genes

Treatment of Major DepressionMachine Learning in Healthcare

Cited by 35

CompAct: Compressing Retrieved Documents Actively for Question Answering

Yoon, C., Lee, T., Hwang, H., Jeong, M., & Kang, J. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14

CompAct: Compressing Retrieved Documents Actively for Question Answering

Yoon, C., Lee, T., Hwang, H., Jeong, M., & Kang, J. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions

Nguyen, N.-Q., & Kang, J. (2025) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 7