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2020 – today
- 2025
[j3]Chaewon Park
, Donghyeong Kim, MyeongAh Cho, Minjung Kim, Minseok Lee, Seungwook Park, Sangyoun Lee:
Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning. Pattern Recognit. 157: 110877 (2025)- 2024
- [j2]Tian Guo, Quanzhen Duan, Minseok Lee, Jeongjin Roh:
A 464-nA Quiescent Current Buck Converter With 93.7% Peak Efficiency for IoT Devices. IEEE Trans. Ind. Electron. 71(7): 8197-8201 (2024) - [c15]Shijie Liu, Nan Zheng, Hui Kang, Xavier Simmons, Junjie Zhang, Matthias Langer, Wenjing Zhu, Minseok Lee, Zehuan Wang:
Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark. RecSys 2024: 622-632 - 2023
- [c14]Minseok Lee, Dongsu Lee, Jeongjin Roh:
Bootstrap Capacitor Charge Control Method for GaN-based 4-Switch Buck-Boost Converter. ICECS 2023: 1-4 - 2022
- [c13]Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Jie Liu, Ji Shi, Zehuan Wang:
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. RecSys 2022: 408-419 - [c12]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:
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. RecSys 2022: 534-537 - [c11]Minseok Lee, Seongbae Rhee, Kyuheon Kim:
Variance based Averaging and Standard Normal Distribution for Improvement of SBT Quantization in Neural Network Coding. SCIS/ISIS 2022: 1-6 - [i2]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:
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. CoRR abs/2210.08803 (2022) - [i1]Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Kingsley Liu, Jerry Shi, Joey Wang:
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. CoRR abs/2210.08804 (2022)
2010 – 2019
- 2019
- [j1]Minseok Lee, Jihoon An, Younghee Lee:
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. 102-D(2): 289-298 (2019) - 2018
- [c10]Minseok Lee, Doo-Ho Choi, Taek-Young Youn:
Non-Repudiable Dynamic PDP with Stronger Security based on Stateful Rank Based Skip List. ICTC 2018: 836-841 - 2017
- [c9]Taehyuk Kim, Minseok Lee, Doo-Ho Choi, Taek-Young Youn:
A Solution for Reducing Redistribution Costs of HAIL. CSA/CUTE 2017: 973-978 - [c8]Younggi Kim, Jihoon An, Minseok Lee, Younghee Lee:
An Activity-Embedding Approach for Next-Activity Prediction in a Multi-User Smart Space. SMARTCOMP 2017: 1-6 - 2016
- [c7]Minseok Lee, Gwangsun Kim, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu:
iPAWS: Instruction-issue pattern-based adaptive warp scheduling for GPGPUs. HPCA 2016: 370-381 - 2015
- [c6]Minseok Lee, Younggi Kim, Young Hee Lee:
A home cloud-based home network auto-configuration using SDN. ICNSC 2015: 444-449 - 2014
- [c5]Seokwoo Song, Minseok Lee, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu:
Energy-efficient scheduling for memory-intensive GPGPU workloads. DATE 2014: 1-6 - [c4]Minseok Lee, Seokwoo Song, Joosik Moon, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu:
Improving GPGPU resource utilization through alternative thread block scheduling. HPCA 2014: 260-271 - [c3]Sehwan Kim, Minseok Lee, Pai H. Chou:
Energy harvesting from anti-corrosion power sources. ISLPED 2014: 363-368 - [c2]Gwangsun Kim, Minseok Lee, Jiyun Jeong, John Kim:
Multi-GPU System Design with Memory Networks. MICRO 2014: 484-495 - 2013
- [c1]Jihoon An, Younggi Kim, Minseok Lee, Younghee Lee:
Ontology Property-based Adaptive Crawler for Linked Data(OPAC). NOF 2013: 1-6
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