Regularizing Neural Networks via Stochastic Branch Layers. - Wonpyo Park; Paul Hongsuck Seo; Bohyung Han; Minsu Cho (ACML, 2019)

Relational Knowledge Distillation. - Wonpyo Park; Dongju Kim; Yan Lu; Minsu Cho (CVPR, 2019)

GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition. - Yonghyun Kim; Wonpyo Park; Myung-Cheol Roh; Jongju Shin (CVPR, 2020)

BroadFace: Looking at Tens of Thousands of People at once for Face Recognition. - Yonghyun Kim; Wonpyo Park; Jongju Shin (ECCV (9), 2020)

Diversified Mutual Learning for Deep Metric Learning. - Wonpyo Park; Wonjae Kim; Kihyun You; Minsu Cho (ECCV Workshops (1), 2020)

Multi-level Distance Regularization for Deep Metric Learning. - Yonghyun Kim; Wonpyo Park (AAAI, 2021)

Graph Self-Attention for learning graph representation with Transformer. - Wonpyo Park; Woonggi Chang; Donggeon Lee; Juntae Kim (CoRR, 2022)

Discrete Infomax Codes for Supervised Representation Learning. - Yoonho Lee 001; Wonjae Kim; Wonpyo Park; Seungjin Choi (Entropy, 2022)

Jaxpruner: A Concise Library for Sparsity Research. - Joo Hyung Lee; Wonpyo Park; Nicole Mitchell; Jonathan Pilault; Johan Samir Obando Ceron; Han-Byul Kim; Namhoon Lee; Elias Frantar; Yun Long; Amir Yazdanbakhsh; Woohyun Han; Shivani Agrawal; et al. (CPAL, 2024)

Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models. - Jaeseong Lee 002; Seung-won Hwang; Wonpyo Park; Mingi Ji (EMNLP, 2024)

Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. - Sungbin Shin; Wonpyo Park; Jaeho Lee 001; Namhoon Lee (EMNLP, 2024)

Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. - Seungwoo Son 005; Wonpyo Park; Woohyun Han; Kyuyeun Kim; Jaeho Lee 001 (EMNLP, 2024)

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 (NAACL (Long Papers), 2025)

Compression Scaling Laws:Unifying Sparsity and Quantization. - Elias Frantar; Utku Evci; Wonpyo Park; Neil Houlsby; Dan Alistarh (CoRR, 2025)

GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance. - Jinuk Kim; Marwa El Halabi; Wonpyo Park; Clemens JS Schaefer; Deokjae Lee; Yeonhong Park; Jae W. Lee; Hyun Oh Song (CoRR, 2025)