Improving Low-Rank Matrix Completion with Self-Expressiveness. - Minsu Kwon; Han-Gyu Kim; Ho-Jin Choi (CIKM, 2018)

Automatic Speech Recognition Dataset Augmentation with Pre-Trained Model and Script. - Minsu Kwon; Ho-Jin Choi (BigComp, 2019)

Performance Improvement of Ordering and Endorsement Phase in Hyperledger Fabric. - Minsu Kwon; Heonchang Yu (IoTSMS, 2019)

Learning Low-Rank Representation for Matrix Completion. - Minsu Kwon; Ho-Jin Choi (BigComp, 2020)

Implementation of Python-Based Korean Speech Generation Service with Tacotron. - Minsu Kwon; Young-Seob Jeong; Ho-Jin Choi (BigComp, 2020)

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte; Min-Hung Chen; Man-Yu Lee; Yu-Syuan Xu; Yu Tseng; Shusong Xu; Jin Guo; Chao-Hung Chen; et al. (CoRR, 2021)

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Kim Byeoung-su; Radu Timofte; Angeline Pouget; Fenglong Song; Cheng Li 009; Shuai Xiao; Zhongqian Fu; Matteo Maggioni; Yibin Huang; Shen Cheng; Xin Lu 006; et al. (CoRR, 2021)

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Shuai Liu 009; Chaoyu Feng; Furui Bai; Xiaotao Wang; Lei Lei; Ziyao Yi; Yan Xiang; Zibin Liu; Shaoqing Li; Keming Shi; et al. (ECCV Workshops (3), 2022)

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Jin Zhang; Feng Zhang 047; Gaocheng Yu; Zhe Ma; Hongbin Wang 006; Minsu Kwon; Haotian Qian; Wentao Tong; Pan Mu; Ziping Wang; et al. (ECCV Workshops (3), 2022)