Sung Whan Yoon

According to our database, Sung Whan Yoon authored at least 22 papers between 2012 and 2025.

Collaborative distances:

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

2025

RiSi: Spectro-temporal RAN-agnostic Modulation Identification for OFDMA Signals.

Daulet Kurmantayev, Dohyun Kwun, Hyoil Kim, Sung Whan Yoon

Proceedings of the 25th IEEE International Symposium on a World of Wireless, 2025

2024

MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning.

Jin Hyuk Lim, SeungBum Ha, Sung Whan Yoon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MICS: Midpoint Interpolation to Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning.

Solang Kim, Yuho Jeong, Joon Sung Park, Sung Whan Yoon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Rethinking the Flat Minima Searching in Federated Learning.

Taehwan Lee, Sung Whan Yoon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage.

Jae-Jun Lee, Sung Whan Yoon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Analysis and optimization for non-orthogonal pilot sequence sets in massive MIMO systems.

Hong-Jae Lee, Dohyun Kwun, Sung Whan Yoon, Jin-Ho Chung, Seok-Ki Ahn

Phys. Commun., October, 2023

POEM: Polarization of Embeddings for Domain-Invariant Representations.

Sang-Yeong Jo, Sung Whan Yoon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation.

Jun Seo, Young-Hyun Park, Sung Whan Yoon, Jaekyun Moon

CoRR, 2022

2020

Task-Adaptive Feature Transformer for Few-Shot Segmentation.

Jun Seo, Young-Hyun Park, Sung Whan Yoon, Jaekyun Moon

CoRR, 2020

Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification.

Jun Seo, Sung Whan Yoon, Jaekyun Moon

CoRR, 2020

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning.

Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Capacity of Clustered Distributed Storage.

Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon

IEEE Trans. Inf. Theory, 2019

Secure Clustered Distributed Storage Against Eavesdropping.

Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon

IEEE Trans. Inf. Theory, 2019

TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning.

Sung Whan Yoon, Jun Seo, Jaekyun Moon

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Meta Learner with Linear Nulling.

Sung Whan Yoon, Jun Seo, Jaekyun Moon

CoRR, 2018

2017

On Reusing Pilots Among Interfering Cells in Massive MIMO.

Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon

IEEE Trans. Wirel. Commun., 2017

Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems.

Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon

IEEE J. Sel. Areas Commun., 2017

Low-complexity concatenated polar codes with excellent scaling behavior.

Sung Whan Yoon, Jaekyun Moon

Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017

Secure clustered distributed storage against eavesdroppers.

Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon

Proceedings of the IEEE International Conference on Communications, 2017

2015

Two-Dimensional Error-Pattern-Correcting Codes.

Sung Whan Yoon, Jaekyun Moon

IEEE Trans. Commun., 2015

When pilots should not be reused across interfering cells in massive MIMO.

Ji Yong Sohn, Sung Whan Yoon, Jaekyun Moon

Proceedings of the IEEE International Conference on Communication, 2015

2012

Two-dimensional cyclic codes correcting known error patterns.

Sung Whan Yoon, Jaekyun Moon

Proceedings of the 2012 IEEE Global Communications Conference, 2012