Genome-wide association analysis with matched samples discloses additional novel risk loci. - Jungsoo Gim; Sungkyoung Choi; Jongho Im; Jae-Kwang Kim; Taesung Park (BIBM, 2014)

A post-hoc genome-wide association study using matched samples. - Jungsoo Gim; Sungkyoung Choi; Jongho Im; Jae-Kwang Kim; Taesung Park (Int. J. Data Min. Bioinform., 2016)

FHDI: An R Package for Fractional Hot Deck Imputation. - Jongho Im; In Ho Cho; Jae-Kwang Kim (R J., 2018)

Confirmatory Aspect-based Opinion Mining Processes. - Jongho Im; Taikgun Song; Youngsu Lee; Jewoo Kim (CoRR, 2019)

A least squares-type density estimator using a polynomial function. - Jongho Im; Kosuke Morikawa; Hyung-Tae Ha (Comput. Stat. Data Anal., 2020)

Impacts of Fractional Hot-Deck Imputation on Learning and Prediction of Engineering Data. - Ikkyun Song; Yicheng Yang; Jongho Im; Tong Tong; Halil Ceylan; In Ho Cho (IEEE Trans. Knowl. Data Eng., 2020)

A New Global Measure to Simultaneously Evaluate Data Utility and Privacy Risk. - Donghoon Jeong; Joseph H. T. Kim; Jongho Im (IEEE Trans. Inf. Forensics Secur., 2023)

Resampling approach for one-Class classification. - Hae-Hwan Lee; Seunghwan Park; Jongho Im (Pattern Recognit., 2023)

Overcoming Data Imbalance in Federated Learning with Calibration Weighting. - Nathaniel Kang; Yugyeong Lim; Jongho Im (IEEE Big Data, 2024)

Relabeling & raking algorithm for imbalanced classification. - Seunghwan Park; Hae-Hwan Lee; Jongho Im (Expert Syst. Appl., 2024)

A Generalized Theory of Mixup for Structure-Preserving Synthetic Data. - Chungpa Lee; Jongho Im; Joseph H. T. Kim (AISTATS, 2025)

Optimizing Federated Learning: Addressing Key Challenges in Real-World Applications. - Nathaniel Kang; Yugyeong Lim; Jongho Im (IEEE Internet Things J., 2025)

Online News-Based Economic Sentiment Index. - Nathaniel Kang; Dongeun Min; Yonghun Cho; Dong-Whan Ko; Hyun Hak Kim; Joon Yeon Choeh; Jongho Im (IEEE Trans. Big Data, 2025)