| 2025 | AISTATS | A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning. | Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn |
| 2025 | ICML | Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective. | Joonkyu Kim, Yejin Kim, Jy-yong Sohn |
| 2025 | ICML | On the Similarities of Embeddings in Contrastive Learning. | Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn |
| 2024 | AISTATS | Analysis of Using Sigmoid Loss for Contrastive Learning. | Chungpa Lee, Joonhwan Chang, Jy-yong Sohn |
| 2024 | NAACL | Improving Multi-lingual Alignment Through Soft Contrastive Learning. | Minsu Park, Seyeon Choi, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn |
| 2024 | UAI | Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. | Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee |
| 2023 | AAAI | Can We Find Strong Lottery Tickets in Generative Models? | Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo |
| 2023 | ICLR | Equal Improvability: A New Fairness Notion Considering the Long-term Impact. | Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee |
| 2023 | ICML | Looped Transformers as Programmable Computers. | Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos |
| 2022 | AISTATS | Finding Nearly Everything within Random Binary Networks. | Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos |
| 2022 | EMNLP | Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. | Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee |
| 2022 | ICML | GenLabel: Mixup Relabeling using Generative Models. | Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee |
| 2022 | ISIT | Breaking Fair Binary Classification with Optimal Flipping Attacks. | Changhun Jo, Jy-yong Sohn, Kangwook Lee |
| 2021 | INFOCOM | TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks. | Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon |
| 2019 | ISIT | Scalable Network-Coded PBFT Consensus Algorithm. | Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon |
| 2019 | ISIT | Coded Distributed Computing over Packet Erasure Channels. | Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon |
| 2019 | ISIT | Coded Matrix Multiplication on a Group-Based Model. | Muah Kim, Jy-yong Sohn, Jaekyun Moon |
| 2018 | ISIT | Hierarchical Coding for Distributed Computing. | Hyegyeong Park, Kangwook Lee, Jy-yong Sohn, Changho Suh, Jaekyun Moon |
| 2018 | ISIT | A Class of MSR Codes for Clustered Distributed Storage. | Jy-yong Sohn, Beongjun Choi, Jaekyun Moon |