Yonggyun Yu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 6

Top Topics

Global Convergence

Anomaly Detection

Constrained Optimization

Top Venues

Eng. Appl. Artif. Intell.

IEEE Trans. Ind. Informatics

Publications

Seunghyoung Ryu, Yonggyun Yu
Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting. IEEE Trans. Smart Grid 15 (2) (2024)
Younghwan Joo, Heesun Choi, Gil-Eon Jeong, Yonggyun Yu
Dynamic graph-based convergence acceleration for topology optimization in unstructured meshes. Eng. Appl. Artif. Intell. 132 (2024)
Seunghyoung Ryu, Yonggyun Yu, Hogeon Seo
Can Untrained Neural Networks Detect Anomalies? IEEE Trans. Ind. Informatics 20 (4) (2024)
Seunghyoung Ryu, Jiyeon Yim, Junghoon Seo, Yonggyun Yu, Hogeon Seo
Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data. IEEE Access 10 (2022)
Younghwan Joo, Yonggyun Yu, In Gwun Jang
Unit Module-Based Convergence Acceleration for Topology Optimization Using the Spatiotemporal Deep Neural Network. IEEE Access 9 (2021)
Yonggyun Yu, Taeil Hur, Jaeho Jung
Deep learning for topology optimization design. CoRR (2018)