Efficient and Robust Pseudo-Labeling for Unsupervised Domain Adaptation. - Hochang Rhee; Nam Ik Cho (APSIPA, 2019)

Channel-Wise Progressive Learning For Lossless Image Compression. - Hochang Rhee; Yeong Il Jang; Seyun Kim; Nam Ik Cho (ICIP, 2020)

Network Intrusion Detection with Improved Feature Representation. - Geonsu Lee; Hochang Rhee; Jae Hoon Shim; Hyung Il Koo; Nam Ik Cho (APSIPA ASC, 2021)

Lossless Image Compression Based on Image Decomposition and Progressive Prediction Using Convolutional Neural Networks. - Jae Hoon Shim; Hochang Rhee; Yeong Il Jang; Geonsu Lee; Seyun Kim; Nam Ik Cho (APSIPA ASC, 2021)

Lossless Image Compression by Joint Prediction of Pixel and Context Using Duplex Neural Networks. - Hochang Rhee; Yeong Il Jang; Seyun Kim; Nam Ik Cho (IEEE Access, 2021)

LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network. - Hochang Rhee; Yeong Il Jang; Seyun Kim; Nam Ik Cho (CVPR, 2022)

Episode Difficulty Based Sampling Method for Few-Shot Classification. - Hochang Rhee; Nam Ik Cho (ICIP, 2022)

Resolution-Adaptive Lossless Image Compression Using Frequency Decomposition Network. - Hochang Rhee; Nam Ik Cho (APSIPA ASC, 2023)

Lossless Compression of Raw Images by Learning the Prediction and Frequency Decomposition. - Hochang Rhee; Nam Ik Cho (VCIP, 2023)

Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network. - Hochang Rhee; Seyun Kim; Nam Ik Cho (CoRR, 2023)

SANERV: Scene-Adaptive Neural Representation for Videos. - Hochang Rhee; Haesoo Chung; Junho Jo; Eunji Lee; Nam Ik Cho (ICIP, 2024)