Two-dimensional cyclic codes correcting known error patterns. - Sung Whan Yoon; Jaekyun Moon (GLOBECOM, 2012)

When pilots should not be reused across interfering cells in massive MIMO. - Ji Yong Sohn; Sung Whan Yoon; Jaekyun Moon (ICC Workshops, 2015)

Two-Dimensional Error-Pattern-Correcting Codes. - Sung Whan Yoon; Jaekyun Moon (IEEE Trans. Commun., 2015)

Secure clustered distributed storage against eavesdroppers. - Beongjun Choi; Jy-yong Sohn; Sung Whan Yoon; Jaekyun Moon (ICC, 2017)

Low-complexity concatenated polar codes with excellent scaling behavior. - Sung Whan Yoon; Jaekyun Moon (ICC Workshops, 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)

On Reusing Pilots Among Interfering Cells in Massive MIMO. - Jy-yong Sohn; Sung Whan Yoon; Jaekyun Moon (IEEE Trans. Wirel. Commun., 2017)

Meta Learner with Linear Nulling. - Sung Whan Yoon; Jun Seo; Jaekyun Moon (CoRR, 2018)

TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning. - Sung Whan Yoon; Jun Seo; Jaekyun Moon (ICML, 2019)

Secure Clustered Distributed Storage Against Eavesdropping. - Beongjun Choi; Jy-yong Sohn; Sung Whan Yoon; Jaekyun Moon (IEEE Trans. Inf. Theory, 2019)

Capacity of Clustered Distributed Storage. - Jy-yong Sohn; Beongjun Choi; Sung Whan Yoon; Jaekyun Moon (IEEE Trans. Inf. Theory, 2019)

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning. - Sung Whan Yoon; Do-Yeon Kim 001; Jun Seo; Jaekyun Moon (ICML, 2020)

Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification. - Jun Seo; Sung Whan Yoon; Jaekyun Moon (CoRR, 2020)

Task-Adaptive Feature Transformer for Few-Shot Segmentation. - Jun Seo; Young-Hyun Park; Sung Whan Yoon; Jaekyun Moon (CoRR, 2020)

Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation. - Jun Seo; Young-Hyun Park; Sung Whan Yoon; Jaekyun Moon (CoRR, 2022)

POEM: Polarization of Embeddings for Domain-Invariant Representations. - Sang-Yeong Jo; Sung Whan Yoon (AAAI, 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., 2023)

XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage. - Jae-Jun Lee; Sung Whan Yoon (AISTATS, 2024)

Rethinking the Flat Minima Searching in Federated Learning. - Taehwan Lee; Sung Whan Yoon (ICML, 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 (WACV, 2024)

MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning. - Jin Hyuk Lim; SeungBum Ha; Sung Whan Yoon (WACV, 2024)

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation. - SeungBum Ha; Taehwan Lee; Jiyoun Lim; Sung Whan Yoon (CoRR, 2024)

Transmit What You Need: Task-Adaptive Semantic Communications for Visual Information. - Jeonghun Park; Sung Whan Yoon (CoRR, 2024)

Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning. - Hyun-Kyu Lee; Sung Whan Yoon (ICLR, 2025)

Can One Modality Model Synergize Training of Other Modality Models? - Jae-Jun Lee; Sung Whan Yoon (ICLR, 2025)

RiSi: Spectro-temporal RAN-agnostic Modulation Identification for OFDMA Signals. - Daulet Kurmantayev; Dohyun Kwun; Hyoil Kim; Sung Whan Yoon (WoWMoM, 2025)

Understanding Flatness in Generative Models: Its Role and Benefits. - Taehwan Lee; Kyeongkook Seo; Jaejun Yoo; Sung Whan Yoon (CoRR, 2025)

A Flat Minima Perspective on Understanding Augmentations and Model Robustness. - Weebum Yoo; Sung Whan Yoon (CoRR, 2025)

Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack. - SeungBum Ha; Saerom Park; Sung Whan Yoon (CoRR, 2025)