SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization. - Juyong Kim 002; Yookoon Park; Gunhee Kim; Sung Ju Hwang (ICML, 2017)

A Hierarchical Latent Structure for Variational Conversation Modeling. - Yookoon Park; Jaemin Cho 001; Gunhee Kim (NAACL-HLT, 2018)

Unsupervised Representation Learning via Neural Activation Coding. - Yookoon Park; Sangho Lee 008; Gunhee Kim; David M. Blei (ICML, 2021)

Normalized Contrastive Learning for Text-Video Retrieval. - Yookoon Park; Mahmoud Azab; Seungwhan Moon; Bo Xiong; Florian Metze; Gourab Kundu; Kirmani Ahmed (EMNLP, 2022)

Density Uncertainty Layers for Reliable Uncertainty Estimation. - Yookoon Park; David M. Blei (AISTATS, 2024)

Probabilistic Approaches for Deep Learning: Representation Learning and Uncertainty Estimation - Yookoon Park (2024)