Real-time Background Subtraction via L1 Norm Tensor Decomposition. - Taehyeon Kim 003; Yoonsik Choe (APSIPA, 2018)

Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-Maps. - Taehyeon Kim 003; Jieun Lee 004; Yoonsik Choe (ICCV Workshops, 2019)

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks. - Taehyeon Kim 003; Jieun Lee 004; Yoonsik Choe (IEEE Access, 2020)

Fast Circulant Tensor Power Method for High-Order Principal Component Analysis. - Taehyeon Kim 003; Yoonsik Choe (IEEE Access, 2021)

Efficient Perceptual Loss based on Low-rank Tucker Decomposition. - Taehyeon Kim 003; Heungjun Choi; Yoonsik Choe (ICEIC, 2022)

Automated Filter Pruning Based on High-Dimensional Bayesian Optimization. - Taehyeon Kim 003; Heungjun Choi; Yoonsik Choe (IEEE Access, 2022)

Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces. - Myeongseop Kim; Taehyeon Kim 003 (BDCAT, 2023)

WiFi's Unspoken Tales: Deep Neural Network Decodes Human Behavior from Channel State Information. - Taehyeon Kim 003; Seho Park; Myeongseop Kim (BDCAT, 2023)

Multi-Head Convolutional Neural Network Compression based on High-Order Principal Component Analysis. - Taehyeon Kim 003; Youjeong Na; Seho Park (ICEIC, 2023)

Digital Human Interaction Based on Mono Camera for Digital Twin. - Myeongseop Kim; Taehyeon Kim 003; Kyung-Taek Lee (ICTC, 2023)

CLIMB: Computational Lane Identification using Multi-Objective Bayesian Optimization. - Taehyeon Kim 003; Seho Park; Kyungtaek Lee (ICTC, 2023)

Efficient Human Computer Interaction Pipeline for Mobile Devices. - Myeongseop Kim; Kyung-Taek Lee; Seho Park; Taehyeon Kim 003 (ISCIT, 2023)

Deep Lane Detection Based on Kullback-Leibler Divergence. - Taehyeon Kim 003; Seho Park; KyungTaek Lee; Myeongseop Kim (ISCIT, 2023)

Wifi Channel State Information Sensing based on Introspective Metric Learning. - Taehyeon Kim 003; Seho Park (ICSPIS, 2024)