Minseok Lee

21 papers A* 3A 5B 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
HierarchicalKV: A GPU Hash Table with Cache Semantics for Continuous Online Embedding Storage.
CoRR
Haidong Rong, Jiashu Yao, Matthias Langer, Shijie Liu, Li Fan, Dongxin Wang, Jia He, Jinglin Chen, Jiaheng Rang, Julian Qian, Mengyao Xu, Fan Yu, Minseok Lee, Zehuan Wang, Even Oldridge
2025 J jnl
Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning.
Pattern Recognit.
Chaewon Park, Donghyeong Kim, MyeongAh Cho, Minjung Kim, Minseok Lee, Seungwook Park, Sangyoun Lee
2024 J jnl
A 464-nA Quiescent Current Buck Converter With 93.7% Peak Efficiency for IoT Devices.
IEEE Trans. Ind. Electron.
Tian Guo, Quanzhen Duan, Minseok Lee, Jeongjin Roh
2024 A conf
Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark.
RecSys
Shijie Liu, Nan Zheng, Hui Kang, Xavier Simmons, Junjie Zhang, Matthias Langer, Wenjing Zhu, Minseok Lee, Zehuan Wang
2023 — conf
Bootstrap Capacitor Charge Control Method for GaN-based 4-Switch Buck-Boost Converter.
ICECS
Minseok Lee, Dongsu Lee, Jeongjin Roh
2022 A conf
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models.
RecSys
Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Jie Liu, Ji Shi, Zehuan Wang
2022 J jnl
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models.
CoRR
Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Kingsley Liu, Jerry Shi, Joey Wang
2022 A conf
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference.
RecSys
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
2022 J jnl
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference.
CoRR
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
2022 — conf
Variance based Averaging and Standard Normal Distribution for Improvement of SBT Quantization in Neural Network Coding.
SCIS/ISIS
Minseok Lee, Seongbae Rhee, Kyuheon Kim
2019 J jnl
Missing-Value Imputation of Continuous Missing Based on Deep Imputation Network Using Correlations among Multiple IoT Data Streams in a Smart Space.
IEICE Trans. Inf. Syst.
Minseok Lee, Jihoon An, Younghee Lee
2018 — conf
Non-Repudiable Dynamic PDP with Stronger Security based on Stateful Rank Based Skip List.
ICTC
Minseok Lee, Doo-Ho Choi, Taek-Young Youn
2017 — conf
A Solution for Reducing Redistribution Costs of HAIL.
CSA/CUTE
Taehyuk Kim, Minseok Lee, Doo-Ho Choi, Taek-Young Youn
2017 B conf
An Activity-Embedding Approach for Next-Activity Prediction in a Multi-User Smart Space.
SMARTCOMP
Younggi Kim, Jihoon An, Minseok Lee, Younghee Lee
2016 A* conf
iPAWS: Instruction-issue pattern-based adaptive warp scheduling for GPGPUs.
HPCA
Minseok Lee, Gwangsun Kim, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu
2015 — conf
A home cloud-based home network auto-configuration using SDN.
ICNSC
Minseok Lee, Younggi Kim, Young Hee Lee
2014 A conf
Energy harvesting from anti-corrosion power sources.
ISLPED
Sehwan Kim, Minseok Lee, Pai H. Chou
2014 A conf
Energy-efficient scheduling for memory-intensive GPGPU workloads.
DATE
Seokwoo Song, Minseok Lee, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu
2014 A* conf
Improving GPGPU resource utilization through alternative thread block scheduling.
HPCA
Minseok Lee, Seokwoo Song, Joosik Moon, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu
2014 A* conf
Multi-GPU System Design with Memory Networks.
MICRO
Gwangsun Kim, Minseok Lee, Jiyun Jeong, John Kim
2013 — conf
Ontology Property-based Adaptive Crawler for Linked Data(OPAC).
NOF
Jihoon An, Younggi Kim, Minseok Lee, Younghee Lee