Yejin Kan

According to our database, Yejin Kan authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ProtDML: label-aware representation learning for broad-spectrum protein function prediction.

Yejin Kan, Gangman Yi

Briefings Bioinform., 2026

A Method for Consensus Anchor Graph Learning for Incomplete Multi-View Clustering.

Seungmin Lee, Yejin Kan, Dongyeon Kim, Minseop Kim, Gangman Yi

IEEE Access, 2026

2025

T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation.

Dongyeon Kim, Yejin Kan, Gangman Yi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

2023

Parameter-free basis allocation for efficient multiple metric learning.

Dongyeon Kim, Yejin Kan, Seungmin Lee, Gangman Yi

Mach. Learn. Sci. Technol., December, 2023

2022

Novel Patrol Route Optimization Method Based on Big Data Analysis.

Dongyeon Kim, Yejin Kan, Gangman Yi

Proceedings of the IEEE International Conference on Big Data, 2022

A Novel Gap-Filling Method Based on Hybrid Read Information Analysis.

Yejin Kan, Dongyeon Kim, Gangman Yi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022