Jinsu Lee

38 papers B 1C 4Journal 13Unranked 20
YearRankTypeTitle / Venue / Authors
2025 — conf
Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs.
SIGMOD Conference Companion
Kihong Kim, Hyunwook Kim, Jinsu Lee, Taehyung Lee, Alexander Böhm, Norman May, Guido Moerkotte, Daniel Ritter, Ralf Dentzer, Heiko Gerwens, Irena Kofman, Mihnea Andrei
2024 — conf
Automotive Holographic Head-Up Display.
SIGGRAPH Asia Posters
Jinsu Lee, Keehoon Hong, Minsik Park
2023 J jnl
A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation.
IEEE Micro
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2023 J jnl
DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC.
IEEE J. Solid State Circuits
Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2022 — conf
A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms.
COOL CHIPS
Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2022 — conf
DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip.
HCS
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2022 — conf
DSPU: A 281.6mW Real-Time Depth Signal Processing Unit for Deep Learning-Based Dense RGB-D Data Acquisition with Depth Fusion and 3D Bounding Box Extraction in Mobile Platforms.
ISSCC
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021 — conf
A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory.
VLSI Circuits
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Jinsu Lee, Hoi-Jun Yoo
2021 C conf
A 3.6 TOPS/W Hybrid FP-FXP Deep Learning Processor with Outlier Compensation for Image-to-Image Application.
ISCAS
Zhiyong Li, Dongseok Im, Jinsu Lee, Hoi-Jun Yoo
2021 — conf
An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory.
HCS
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021 J jnl
DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning.
IEEE J. Solid State Circuits
Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021 — conf
OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer.
VLSI Circuits
Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021 J jnl
Z-PIM: A Sparsity-Aware Processing-in-Memory Architecture With Fully Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks.
IEEE J. Solid State Circuits
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, Joo-Young Kim
2020 J jnl
A Power-Efficient CNN Accelerator With Similar Feature Skipping for Face Recognition in Mobile Devices.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl.
Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, Hoi-Jun Yoo
2020 J jnl
SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo
2020 J jnl
The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices.
IEEE Trans. Circuits Syst.
Jinsu Lee, Sanghoon Kang, Jinmook Lee, Dongjoo Shin, Donghyeon Han, Hoi-Jun Yoo
2020 — conf
Z-PIM: An Energy-Efficient Sparsity Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision.
VLSI Circuits
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo, Joo-Young Kim
2019 — conf
A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture.
VLSI Circuits
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
2019 C conf
A 15.2 TOPS/W CNN Accelerator with Similar Feature Skipping for Face Recognition in Mobile Devices.
ISCAS
Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, Hoi-Jun Yoo
2019 — conf
A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices.
VLSI Circuits
Juhyoung Lee, Dongjoo Shin, Jinsu Lee, Jinmook Lee, Sanghoon Kang, Hoi-Jun Yoo
2019 J jnl
A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application.
IEEE Trans. Circuits Syst. I Regul. Pap.
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
2019 — conf
LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16.
ISSCC
Jinsu Lee, Juhyoung Lee, Donghyeon Han, Jinmook Lee, Gwangtae Park, Hoi-Jun Yoo
2018 J jnl
A 0.55 V 1.1 mW Artificial Intelligence Processor With On-Chip PVT Compensation for Autonomous Mobile Robots.
IEEE Trans. Circuits Syst. I Regul. Pap.
Youchang Kim, Dongjoo Shin, Jinsu Lee, Yongsu Lee, Hoi-Jun Yoo
2018 C conf
A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices.
ISCAS
Donghyeon Han, Jinsu Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo
2018 — conf
A 9.02mW CNN-stereo-based real-time 3D hand-gesture recognition processor for smart mobile devices.
ISSCC
Sungpill Choi, Jinsu Lee, Kyuho Lee, Hoi-Jun Yoo
2018 — conf
An Ensemble Method of CNN Models for Object Detection.
ICTC
Jinsu Lee, Sang-Kwang Lee, Seong-Il Yang
2018 — conf
CNN based Sentence Classification with Semantic Features using Word Clustering.
ICTC
Hwa-Yeon Kim, Jinsu Lee, Na Young Yeo, Marcella Astrid, Seung-Ik Lee, Young-Kil Kim
2018 J jnl
DNPU: An Energy-Efficient Deep-Learning Processor with Heterogeneous Multi-Core Architecture.
IEEE Micro
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Juhyoung Lee, Hoi-Jun Yoo
2017 — conf
14.2 DNPU: An 8.1TOPS/W reconfigurable CNN-RNN processor for general-purpose deep neural networks.
ISSCC
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Hoi-Jun Yoo
2017 J jnl
A 17.5-fJ/bit Energy-Efficient Analog SRAM for Mixed-Signal Processing.
IEEE Trans. Very Large Scale Integr. Syst.
Jinsu Lee, Dongjoo Shin, Youchang Kim, Hoi-Jun Yoo
2017 — conf
An energy-efficient deep learning processor with heterogeneous multi-core architecture for convolutional neural networks and recurrent neural networks.
COOL Chips
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Juhyoung Lee, Hoi-Jun Yoo
2017 J jnl
BRAIN: A Low-Power Deep Search Engine for Autonomous Robots.
IEEE Micro
Youchang Kim, Dongjoo Shin, Jinsu Lee, Hoi-Jun Yoo
2017 — conf
Object detection with sliding window in images including multiple similar objects.
ICTC
Jinsu Lee, Junseong Bang, Seong-Il Yang
2016 — conf
14.3 A 0.55V 1.1mW artificial-intelligence processor with PVT compensation for micro robots.
ISSCC
Youchang Kim, Dongjoo Shin, Jinsu Lee, Yongsu Lee, Hoi-Jun Yoo
2016 — conf
A 1.1 mW 32-thread artificial intelligence processor with 3-level transposition table and on-chip PVT compensation for autonomous mobile robots.
COOL Chips
Youchang Kim, Dongjoo Shin, Jinsu Lee, Hoi-Jun Yoo
2016 C conf
A 17.5 fJ/bit energy-efficient analog SRAM for mixed-signal processing.
ISCAS
Jinsu Lee, Dongjoo Shin, Youchang Kim, Hoi-Jun Yoo
2016 J jnl
A Balanced Parallel Distributed Sorting Implemented with PGX.D.
CoRR
Zahra Khatami, Sungpack Hong, Jinsu Lee, Siegfried Depner, Hassan Chafi
2016 B conf
Practical Residual Error of Interference Cancellation for Spread MSK with a Pseudo-Noise Preamble.
GLOBECOM
Qiongjie Lin, Jinsu Lee, Mary Ann Weitnauer