Identifying clusters of functionally related genes in genomes. - Gangman Yi; Sing-Hoi Sze; Michael R. Thon (Bioinform., 2007)

PoGO: Prediction of Gene Ontology terms for fungal proteins. - Jaehee Jung; Gangman Yi; Serenella A. Sukno; Michael R. Thon (BMC Bioinform., 2010)

Identifying Gene Clusters within Localized Regions in Multiple Genomes. - Qingwu Yang; Gangman Yi; Fenghui Zhang; Michael R. Thon; Sing-Hoi Sze (J. Comput. Biol., 2010)

Supervised Protein Family Classification and New Family Construction. - Gangman Yi; Michael R. Thon; Sing-Hoi Sze (J. Comput. Biol., 2012)

Performance Optimization by Simplification of Relationship in Scalable Layer Stream. - Heung Ki Lee; Kyung Jin Ahn; Jaehee Jung; Gangman Yi (AINA Workshops, 2014)

Functional Annotation of Proteins by a Novel Method Using Weight and Feature Selection. - Jaehee Jung; Heung Ki Lee; Gangman Yi (FCC, 2014)

ActiveSTB: Scalable Scheme Over Wireless Networks. - Heung Ki Lee; Kyung Jin Ahn; Jaehee Jung; Gangman Yi (FCC, 2014)

SmartJoin: a network-aware multiway join for MapReduce. - Kenn Slagter; Ching-Hsien Hsu; Yeh-Ching Chung; Gangman Yi (Clust. Comput., 2014)

Adjusting Control Packet Transmission Intervals in Low Power Sensor Systems. - Gangman Yi; Daeun Yu; Namgi Kim (Int. J. Distributed Sens. Networks, 2014)

Numeric Analysis for Relationship-Aware Scalable Streaming Scheme. - Heung Ki Lee; Jaehee Jung; Kyung Jin Ahn; Hwa-Young Jeong; Gangman Yi (J. Appl. Math., 2014)

An optimal control policy to realize green cloud systems with SLA-awareness. - Yen-Chieh Ouyang; Yi-Ju Chiang; Ching-Hsien Hsu; Gangman Yi (J. Supercomput., 2014)

Attendance Check System and Implementation for Wi-Fi Networks Supporting Unlimited Number of Concurrent Connections. - Min Choi; Jong Hyuk Park 001; Gangman Yi (Int. J. Distributed Sens. Networks, 2015)

Energy-Efficient Distributed Topology Control Algorithm for Low-Power IoT Communication Networks. - Gangman Yi; Jong Hyuk Park 001; Sangil Choi (IEEE Access, 2016)

Guest Editorial: Technologies and Applications for Interactive NUX/NUI. - Jong Hyuk Park 001; Young-Sik Jeong; Gangman Yi; Neil Y. Yen (Multim. Tools Appl., 2016)

A service composition model based on user experience in Ubi-cloud comp. - Hwa-Young Jeong; Gangman Yi; Jong Hyuk Park 001 (Telecommun. Syst., 2016)

High performance clustering algorithm for analysis of protein family clusters. - Seok-Hyeon Han; Gangman Yi (J. Supercomput., 2016)

Energy Consumption and Efficiency Issues in Human Activity Monitoring System. - Sangil Choi; Gangman Yi (Wirel. Pers. Commun., 2016)

A Robust Method for Finding the Automated Best Matched Genes Based on Grouping Similar Fragments of Large-Scale References for Genome Assembly. - Jaehee Jung; Jong Im Kim; Young-Sik Jeong; Gangman Yi (Symmetry, 2017)

Analysis of Clustering Evaluation Considering Features of Item Response Data Using Data Mining Technique for Setting Cut-Off Scores. - Byoungwook Kim; JaMee Kim; Gangman Yi (Symmetry, 2017)

Advances in next era cloud-empowered computing and techniques. - Jason C. Hung; Gangman Yi (J. Supercomput., 2017)

Novel assessment method for accessing private data in social network security services. - Jong Hyuk Park 001; Yunsick Sung; Pradip Kumar Sharma; Young-Sik Jeong; Gangman Yi (J. Supercomput., 2017)

A tool for analyzing evolutionary trees of reconciled genes and single gene. - Jaehee Jung; Gangman Yi (BIBM, 2018)

Job Allocation Mechanism for Battery Consumption Minimization of Cyber-Physical-Social Big Data Processing Based on Mobile Cloud Computing. - Gangman Yi; Hyun-Woo Kim 001; Jong Hyuk Park 001; Young-Sik Jeong (IEEE Access, 2018)

AGORA: organellar genome annotation from the amino acid and nucleotide references. - Jaehee Jung; Jong Im Kim; Young-Sik Jeong; Gangman Yi (Bioinform., 2018)

MRM: mobile resource management scheme on mobile cloud computing. - Gangman Yi; Yoon-A. Heo; HwiRim Byun; Young-Sik Jeong (J. Ambient Intell. Humaniz. Comput., 2018)

Advanced computer science and applications for soft computing of converged IT environments. - Gangman Yi; Yi Pan 001 (Soft Comput., 2018)

A computational model based on long short-term memory for predicting organellar genes in plastid genomes. - Jaehee Jung; Gangman Yi (BIBM, 2019)

Location-Based Parallel Sequential Pattern Mining Algorithm. - Byoungwook Kim; Gangman Yi (IEEE Access, 2019)

geneCo: a visualized comparative genomic method to analyze multiple genome structures. - Jaehee Jung; Jong Im Kim; Gangman Yi (Bioinform., 2019)

Spatial task management method for location privacy aware crowdsourcing. - Yan Li 050; Gangman Yi; Byeong-Seok Shin (Clust. Comput., 2019)

A performance analysis of genome search by matching whole targeted reads on different environments. - Jaehee Jung; Gangman Yi (Soft Comput., 2019)

Neighbor Discovery Optimization for Big Data Analysis in Low-Power, Low-Cost Communication Networks. - Sangil Choi; Gangman Yi (Symmetry, 2019)

High-performance computing systems and applications for AI. - Gangman Yi; Vincenzo Loia (J. Supercomput., 2019)

Central Prediction System for Time Series Comparison and Analysis of Water Usage Data. - Mingeun Ji; Gangman Yi; Jaehee Jung (IEEE Access, 2020)

A Review on Sequence Alignment Algorithms for Short Reads Based on Next-Generation Sequencing. - Jeongkyu Kim; Mingeun Ji; Gangman Yi (IEEE Access, 2020)

Adaptive resource management using many-core processing for fault tolerance based on cyber-physical cloud systems. - Hyun-Woo Kim 001; Gangman Yi; Jong Hyuk Park 001; Young-Sik Jeong (Future Gener. Comput. Syst., 2020)

Comparative Analysis Review of Pioneering DBSCAN and Successive Density-Based Clustering Algorithms. - Adil Abdu Bushra; Gangman Yi (IEEE Access, 2021)

Empirical evaluation of methods for de novo genome assembly. - Firaol Dida; Gangman Yi (PeerJ Comput. Sci., 2021)

A Novel Gap-Filling Method Based on Hybrid Read Information Analysis. - Yejin Kan; Dongyeon Kim; Gangman Yi (BIBM, 2022)

Novel Patrol Route Optimization Method Based on Big Data Analysis. - Dongyeon Kim; Yejin Kan; Gangman Yi (IEEE Big Data, 2022)

Parameter-free basis allocation for efficient multiple metric learning. - Dongyeon Kim; Yejin Kan; Seungmin Lee; Gangman Yi (Mach. Learn. Sci. Technol., 2023)

AutoSCAN: automatic detection of DBSCAN parameters and efficient clustering of data in overlapping density regions. - Adil Abdu Bushra; Dongyeon Kim; Yejin Kan; Gangman Yi (PeerJ Comput. Sci., 2024)

T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation. - Dongyeon Kim; Yejin Kan; Gangman Yi (AAAI, 2025)

Algorithm for Mining Maximal Balanced Bicliques Using Formal Concept Analysis. - Sadriddinov Ilkhomjon; Sony Peng; Sophort Siet; Dae-Young Kim 005; Doo-Soon Park; Gangman Yi (IEEE Access, 2025)