| 2026 | AAAI | A Flat Minima Perspective on Understanding Augmentations and Model Robustness. | Weebum Yoo, Sung Whan Yoon |
| 2025 | ICCV | Understanding Flatness in Generative Models: Its Role and Benefits. | Taehwan Lee, Kyeongkook Seo, Jaejun Yoo, Sung Whan Yoon |
| 2025 | ICLR | Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning. | Hyun-Kyu Lee, Sung Whan Yoon |
| 2025 | ICLR | Can One Modality Model Synergize Training of Other Modality Models? | Jae-Jun Lee, Sung Whan Yoon |
| 2025 | WoWMoM | RiSi: Spectro-temporal RAN-agnostic Modulation Identification for OFDMA Signals. | Daulet Kurmantayev, Dohyun Kwun, Hyoil Kim, Sung Whan Yoon |
| 2024 | AISTATS | XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage. | Jae-Jun Lee, Sung Whan Yoon |
| 2024 | ICML | Rethinking the Flat Minima Searching in Federated Learning. | Taehwan Lee, Sung Whan Yoon |
| 2024 | WACV | 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 |
| 2024 | WACV | MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning. | Jin Hyuk Lim, SeungBum Ha, Sung Whan Yoon |
| 2023 | AAAI | POEM: Polarization of Embeddings for Domain-Invariant Representations. | Sang-Yeong Jo, Sung Whan Yoon |
| 2020 | ICML | XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning. | Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon |
| 2019 | ICML | TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning. | Sung Whan Yoon, Jun Seo, Jaekyun Moon |
| 2012 | GLOBECOM | Two-dimensional cyclic codes correcting known error patterns. | Sung Whan Yoon, Jaekyun Moon |