Ontology Property-based Adaptive Crawler for Linked Data(OPAC). - Jihoon An; Younggi Kim; Minseok Lee; Younghee Lee (NOF, 2013)

Energy-efficient scheduling for memory-intensive GPGPU workloads. - Seokwoo Song; Minseok Lee; John Kim 001; Woong Seo; Yeon-Gon Cho; Soojung Ryu (DATE, 2014)

Improving GPGPU resource utilization through alternative thread block scheduling. - Minseok Lee; Seokwoo Song; Joosik Moon; John Kim 001; Woong Seo; Yeon-Gon Cho; Soojung Ryu (HPCA, 2014)

Energy harvesting from anti-corrosion power sources. - Sehwan Kim; Minseok Lee; Pai H. Chou (ISLPED, 2014)

Multi-GPU System Design with Memory Networks. - Gwangsun Kim; Minseok Lee; Jiyun Jeong; John Kim 001 (MICRO, 2014)

A home cloud-based home network auto-configuration using SDN. - Minseok Lee; Younggi Kim; Young Hee Lee (ICNSC, 2015)

iPAWS: Instruction-issue pattern-based adaptive warp scheduling for GPGPUs. - Minseok Lee; Gwangsun Kim; John Kim 001; Woong Seo; Yeon-Gon Cho; Soojung Ryu (HPCA, 2016)

A Solution for Reducing Redistribution Costs of HAIL. - Taehyuk Kim; Minseok Lee; Doo-Ho Choi; Taek-Young Youn (CSA/CUTE, 2017)

An Activity-Embedding Approach for Next-Activity Prediction in a Multi-User Smart Space. - Younggi Kim; Jihoon An; Minseok Lee; Younghee Lee (SMARTCOMP, 2017)

Non-Repudiable Dynamic PDP with Stronger Security based on Stateful Rank Based Skip List. - Minseok Lee; Doo-Ho Choi; Taek-Young Youn (ICTC, 2018)

Missing-Value Imputation of Continuous Missing Based on Deep Imputation Network Using Correlations among Multiple IoT Data Streams in a Smart Space. - Minseok Lee; Jihoon An; Younghee Lee (IEICE Trans. Inf. Syst., 2019)

Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. - Zehuan Wang; Yingcan Wei; Minseok Lee; Matthias Langer; Fan Yu; Jie Liu; Shijie Liu; Daniel G. Abel; Xu Guo; Jianbing Dong; Ji Shi; Kunlun Li (RecSys, 2022)

A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. - Yingcan Wei; Matthias Langer; Fan Yu; Minseok Lee; Jie Liu; Ji Shi; Zehuan Wang (RecSys, 2022)

Variance based Averaging and Standard Normal Distribution for Improvement of SBT Quantization in Neural Network Coding. - Minseok Lee; Seongbae Rhee; Kyuheon Kim (SCIS/ISIS, 2022)

Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. - Joey Wang; Yingcan Wei; Minseok Lee; Matthias Langer; Fan Yu; Jie Liu; Alex Liu; Daniel G. Abel; Gems Guo; Jianbing Dong; Jerry Shi; Kunlun Li (CoRR, 2022)

A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. - Yingcan Wei; Matthias Langer; Fan Yu; Minseok Lee; Kingsley Liu; Jerry Shi; Joey Wang (CoRR, 2022)

Bootstrap Capacitor Charge Control Method for GaN-based 4-Switch Buck-Boost Converter. - Minseok Lee; Dongsu Lee; Jeongjin Roh (ICECS, 2023)

Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark. - Shijie Liu; Nan Zheng; Hui Kang; Xavier Simmons; Junjie Zhang; Matthias Langer; Wenjing Zhu; Minseok Lee; Zehuan Wang (RecSys, 2024)

A 464-nA Quiescent Current Buck Converter With 93.7% Peak Efficiency for IoT Devices. - Tian Guo 006; Quanzhen Duan; Minseok Lee; Jeongjin Roh (IEEE Trans. Ind. Electron., 2024)

Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning. - Chaewon Park; Donghyeong Kim; MyeongAh Cho; Minjung Kim 002; Minseok Lee; Seungwook Park; Sangyoun Lee (Pattern Recognit., 2025)