A New Approach for Finding an Optimal Solution and Regularization by Learning Dynamic Momentum. - Eun-Mi Kim; Jong Cheol Jeong; Bae-Ho Lee (ICAISC, 2006)

A New Feature Selection Method for Improving the Precision of Diagnosing Abnormal Protein Sequences by Support Vector Machine and Vectorization Method. - Eun-Mi Kim; Jong Cheol Jeong; Ho-Young Pae; Bae-Ho Lee (ICANNGA (2), 2007)

Minimum reference set based feature selection for small sample classifications. - Xue-wen Chen 001; Jong Cheol Jeong (ICML, 2007)

Enhanced recursive feature elimination. - Xue-wen Chen 001; Jong Cheol Jeong (ICMLA, 2007)

Sequence-based prediction of protein interaction sites with an integrative method. - Xue-wen Chen 001; Jong Cheol Jeong (Bioinform., 2009)

KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions. - Xue-wen Chen 001; Jong Cheol Jeong; Patrick Dermyer (Nucleic Acids Res., 2011)

On Position-Specific Scoring Matrix for Protein Function Prediction. - Jong Cheol Jeong; Xiaotong Lin 001; Xue-wen Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Evaluating topology-based metrics for GO term similarity measures. - Jong Cheol Jeong; Xue-wen Chen 001 (BIBM, 2013)

New Methodology for Measuring Semantic Functional Similarity Based on Bidirectional Integration. - Jong Cheol Jeong (2013)

ST-analyzer: A web-based user interface for simulation trajectory analysis. - Jong Cheol Jeong; Sunhwan Jo; Emilia L. Wu; Yifei Qi; Viviana Monje-Galvan; Min Sun Yeom; Lev Gorenstein; Feng Chen; Jeffery B. Klauda; Wonpil Im (J. Comput. Chem., 2014)

A New Semantic Functional Similarity over Gene Ontology. - Jong Cheol Jeong; Xue-wen Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

GOAL: the comprehensive gene ontology analysis layer. - Jong Cheol Jeong; George Li 003; Xue-wen Chen 001 (Sci. China Inf. Sci., 2016)

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Noah Schaefferkoetter; Jacob D. Hinkle; Hong-Jun Yoon; James Blair Christian; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; et al. (BHI, 2019)

Privacy-Preserving Deep Learning NLP Models for Cancer Registries. - Mohammed M. Alawad; Hong-Jun Yoon; Shang Gao 008; Brent J. Mumphrey; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE Trans. Emerg. Top. Comput., 2021)

Local data commons: the sleeping beauty in the community of data commons. - Jong Cheol Jeong; Isaac Hands; Jill M. Kolesar; Mahadev Rao; Bront Davis; York H. Dobyns; Joseph Hurt-Mueller; Justin Levens; Jenny Gregory; John Williams; Lisa Witt; Eun Mi Kim; et al. (BMC Bioinform., 2022)