Jinsu Lee

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 36

Top Topics

Heterogeneous Computing

Learning Process

Data Acquisition

Object Recognition

Top Venues

IEEE J. Solid State Circuits

Publications

Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC. IEEE J. Solid State Circuits 58 (1) (2023)
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. IEEE Micro 43 (3) (2023)
Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms. COOL CHIPS (2022)
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip. HCS (2022)
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
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 (2022)
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Jinsu Lee, Hoi-Jun Yoo
A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory. VLSI Circuits (2021)
Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer. VLSI Circuits (2021)
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, Joo-Young Kim
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 56 (4) (2021)
Zhiyong Li, Dongseok Im, Jinsu Lee, Hoi-Jun Yoo
A 3.6 TOPS/W Hybrid FP-FXP Deep Learning Processor with Outlier Compensation for Image-to-Image Application. ISCAS (2021)
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory. HCS (2021)
Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning. IEEE J. Solid State Circuits 56 (5) (2021)
Jinsu Lee, Sanghoon Kang, Jinmook Lee, Dongjoo Shin, Donghyeon Han, Hoi-Jun Yoo
The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices. IEEE Trans. Circuits Syst. (10) (2020)
Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, Hoi-Jun Yoo
A Power-Efficient CNN Accelerator With Similar Feature Skipping for Face Recognition in Mobile Devices. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. (4) (2020)
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo, Joo-Young Kim
Z-PIM: An Energy-Efficient Sparsity Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision. VLSI Circuits (2020)
Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo
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. 10 (3) (2020)
Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, Hoi-Jun Yoo
A 15.2 TOPS/W CNN Accelerator with Similar Feature Skipping for Face Recognition in Mobile Devices. ISCAS (2019)
Juhyoung Lee, Dongjoo Shin, Jinsu Lee, Jinmook Lee, Sanghoon Kang, Hoi-Jun Yoo
A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices. VLSI Circuits (2019)
Jinsu Lee, Juhyoung Lee, Donghyeon Han, Jinmook Lee, Gwangtae Park, Hoi-Jun Yoo
LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16. ISSCC (2019)
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture. VLSI Circuits (2019)
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2019)
Jinsu Lee, Sang-Kwang Lee, Seong-Il Yang
An Ensemble Method of CNN Models for Object Detection. ICTC (2018)
Donghyeon Han, Jinsu Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo
A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices. ISCAS (2018)
Hwa-Yeon Kim, Jinsu Lee, Na Young Yeo, Marcella Astrid, Seung-Ik Lee, Young-Kil Kim
CNN based Sentence Classification with Semantic Features using Word Clustering. ICTC (2018)
Youchang Kim, Dongjoo Shin, Jinsu Lee, Yongsu Lee, Hoi-Jun Yoo
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. (2) (2018)
Sungpill Choi, Jinsu Lee, Kyuho Jason Lee, Hoi-Jun Yoo
A 9.02mW CNN-stereo-based real-time 3D hand-gesture recognition processor for smart mobile devices. ISSCC (2018)
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Juhyoung Lee, Hoi-Jun Yoo
DNPU: An Energy-Efficient Deep-Learning Processor with Heterogeneous Multi-Core Architecture. IEEE Micro 38 (5) (2018)
Youchang Kim, Dongjoo Shin, Jinsu Lee, Hoi-Jun Yoo
BRAIN: A Low-Power Deep Search Engine for Autonomous Robots. IEEE Micro 37 (5) (2017)
Jinsu Lee, Junseong Bang, Seong-Il Yang
Object detection with sliding window in images including multiple similar objects. ICTC (2017)
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Juhyoung Lee, Hoi-Jun Yoo
An energy-efficient deep learning processor with heterogeneous multi-core architecture for convolutional neural networks and recurrent neural networks. COOL Chips (2017)
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Hoi-Jun Yoo
14.2 DNPU: An 8.1TOPS/W reconfigurable CNN-RNN processor for general-purpose deep neural networks. ISSCC (2017)
Jinsu Lee, Dongjoo Shin, Youchang Kim, Hoi-Jun Yoo
A 17.5-fJ/bit Energy-Efficient Analog SRAM for Mixed-Signal Processing. IEEE Trans. Very Large Scale Integr. Syst. 25 (10) (2017)
Youchang Kim, Dongjoo Shin, Jinsu Lee, Hoi-Jun Yoo
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 (2016)
Jinsu Lee, Dongjoo Shin, Youchang Kim, Hoi-Jun Yoo
A 17.5 fJ/bit energy-efficient analog SRAM for mixed-signal processing. ISCAS (2016)
Zahra Khatami, Sungpack Hong, Jinsu Lee, Siegfried Depner, Hassan Chafi
A Balanced Parallel Distributed Sorting Implemented with PGX.D. CoRR (2016)
Youchang Kim, Dongjoo Shin, Jinsu Lee, Yongsu Lee, Hoi-Jun Yoo
14.3 A 0.55V 1.1mW artificial-intelligence processor with PVT compensation for micro robots. ISSCC (2016)
Qiongjie Lin, Jinsu Lee, Mary Ann Weitnauer
Practical Residual Error of Interference Cancellation for Spread MSK with a Pseudo-Noise Preamble. GLOBECOM (2016)