| 2025 | ICML | GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance. | Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens J. S. Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song |
| 2025 | NAACL | LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs. | Sumin An, Junyoung Sung, Wonpyo Park, Chanjun Park, Paul Hongsuck Seo |
| 2024 | EMNLP | Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models. | Jaeseong Lee, Seung-won Hwang, Wonpyo Park, Mingi Ji |
| 2024 | EMNLP | Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. | Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee |
| 2024 | EMNLP | Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. | Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee |
| 2021 | AAAI | Multi-level Distance Regularization for Deep Metric Learning. | Yonghyun Kim, Wonpyo Park |
| 2020 | CVPR | GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition. | Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin |
| 2020 | ECCV | BroadFace: Looking at Tens of Thousands of People at once for Face Recognition. | Yonghyun Kim, Wonpyo Park, Jongju Shin |
| 2020 | ECCV | Diversified Mutual Learning for Deep Metric Learning. | Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho |
| 2019 | ACML | Regularizing Neural Networks via Stochastic Branch Layers. | Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho |
| 2019 | CVPR | Relational Knowledge Distillation. | Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho |