- Low-noise, low-power bio-potential sensor for wearable healthcare system
- Instrumentation & pre-processing of physiological signal
- Low-noise, low-power analog circuit design
- Bio-signal processing based on signal processing & machine learning theory
2020. 8 Ph.D. Student in EE, Korea Advanced Institute of Science and Technology
2014. 2 M.S. in EE, Korea Advanced Institute of Science and Technology
2012. 2 B.S. in EE, Sung Kyun Kwan University
2007. 2 Han-il High School
- International Journal Papers
Simultaneous Electrical Bio-Impedance Plethysmography at Different Body Parts: Continuous and Non-Invasive Monitoring of Pulse Wave Velocity
Kwonjoon Lee and Hoi-jun Yoo
IEEE Transaction on Biomedical Circuits and Systems (TBioCAS), Oct. 2021
Wrist Watch-type Cardiovascular Monitoring System using Concurrent ECG and APW Measurement
Kwonjoon Lee, Kiseok Song, Taehwan Roh and Hoi-jun Yoo
Journal of Semiconductor Technology and Science (JSTS), Oct. 2016
- International Conference Papers
Wrist Fabric Patch Sensor for Continuous and Comprehensive Monitoring of the Cardiovascular System
IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2016
- Machine Learning Image Processing SoC Design
2020. 8 Ph.D. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2016. 8 M.S. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2014. 8 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2010. 2 Kyunggi Science High School
A CMOS Image Sensor-Based Stereo Matching Accelerator With Focal-Plane Sparse Rectification and Analog Census Transform
Changhyeon Kim, Kyeongryeol Bong, Sungpill Choi, Kyuho Jason Lee, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems I: Regular Papers, Dec. 2016
A 2.1TFLOPS/W Mobile Deep RL Accelerator with Transposable PE Array and Experience Compression
Changhyeon Kim, Sanghoon Kang, Donjoo Shin, Sungpill Choi, Youngwoo Kim, and Hoi-Jun Yoo
International Solid-State Circuits Conference (ISSCC), Feb. 2019
An Ultra-Low-Power and Mixed-Mode Event-Driven Face Detection SoC for Always-on Mobile Applications
Changhyeon Kim, Kyeongryeol Bong, Injoon Hong, Kyuho Lee, Sungpill Choi, and Hoi-Jun Yoo
IEEE European Solid-State Circuits Conference (ESSCIRC), Sep. 2017
A 43.7 mW 94 fps CMOS Image Sensor-based Stereo Match-ing Accelerator with Focal-plane Rectification and Analog Census Transformation
Changhyeon Kim, Kyeongryeol Bong, Sungpill Choi, and Hoi-Jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), May. 2016
- Wearable Healthcare SoC
- Biomedical Sensor Front-end
2021. 2 Ph.D. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2010. 2 Korea Science Academy
A 9.6-mW/Ch 10-MHz Wide-Bandwidth Electrical Impedance Tomography IC With Accurate Phase Compensation for Early Breast Cancer Detection
Jaehyuk Lee, Surin Gweon, Kwonjoon Lee, Soyeon Um, Kyoung-Rog Lee, and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Nov. 2020
A 0.8-V 82.9-μW In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver
Jaehyuk Lee, Kyoung-Rog Lee, Unsoo Ha, Ji-Hoon Kim, Kwonjoon Lee, Surin Gweon, Jaeeun Jang, and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Apr. 2018
0.025mJ/Image Fast-scan and SNR Enhanced Electrical Impedance Tomography IC for Lung Ventilation Monitoring
Jaehyuk Lee, Unsoo Ha and Hoi-Jun Yoo
Journal of Semiconductor Science and Technology (JSTS)
A 9.6 mW/Ch 10 MHz Wide-bandwidth Electrical Impedance Tomography IC with Accurate Phase Compensation for Breast Cancer Detection
Jaehyuk Lee, Surin Gweon, Kwonjoon Lee, Soyeon Um, Kyoung-Rog Lee, Kwantae Kim, Jihee Lee, and Hoi-Jun Yoo
Custom Integrated Circuits Conference (CICC), March, 2020
A 0.8V 82.9μW In-ear BCI Controller System with 8.8 PEF EEG Instrumentational Amplifier and Wireless BAN Transceiver
Jaehyuk Lee, Kyoung-Rog Lee, Unsoo Ha, Ji-Hoon Kim, Kwonjoon Lee, and Hoi-jun Yoo
Symposium on VLSI Circuits (SoVC), Jun. 2018
30-fps SNR Equalized Electrical Impedance Tomography IC with Fast-Settle Filter and Adaptive Current Control for Lung Monitoring
Jaehyuk Lee, Unsoo Ha, and Hoi-Jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), May 2016
- Low-Power Bio-Impedance Sensor
- Digitally Assisted Analog Circuits
2021. 2 Ph.D. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2017. 2 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2015. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2011. 2 Gangbuk High School
A 23 uW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction
Kwantae Kim, Chang Gao, Rui Graca, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu
IEEE Journal of Solid-State Circuits (JSSC), 2022
Design of Sub-10-uW Sub-0.1% THD Sinusoidal Current Generator IC for Bio-Impedance Sensing
Kwantae Kim, Sangyeob Kim and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), 2021
A 0.5 V Sub-10 μW 15.28 mΩ/√Hz Bio-Impedance Sensor IC with Sub-1° Phase Error
Kwantae Kim, Ji-Hoon Kim, Surin Gweon, Minseo Kim, and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), 2020
A 55.77 μW Bio-impedance Sensor with 276 μs Settling Time for Portable Blood Pressure Monitoring System
Kwantae Kim, Minseo Kim , Hyunwoo Cho , Kwonjoon Lee, and Hoi-Jun Yoo
Journal of Semiconductor Science and Technology (JSTS), 2017
- International Conference Papers
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time- Domain Feature Extraction
Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu
International Solid-State Circuits Conference (ISSCC), Feb. 2022
A 0.5V, 6.2μW, 0.059mm² Sinusoidal Current Generator IC with 0.088% THD for Bio-Impedance Sensing
Kwantae Kim, Changhyeon Kim, Sungpill Choi, and Hoi-Jun Yoo
Symposium on VLSI Circuits (SoVC), Jun. 2020
A 0.5V 9.26μW 15.28mΩ/√Hz Bio-Impedance Sensor IC with 0.55° Overall Phase Error
Kwantae Kim, Jihoon Kim, Surin Gweon, Jiwon Lee, Minseo Kim, Yongsu Lee, Soyeon Kim, and Hoi-Jun Yoo
A 24 μW 38.51 mΩrms Resolution Bio-Impedance Sensor with Dual Path Instrumentation Amplifier
Kwantae Kim, Kiseok Song, Kyeongryeol Bong, Jaehyuk Lee, Kwonjoon Lee, Yongsu Lee, Unsoo Ha, and Hoi-Jun Yoo
A 54-μW fast-settling arterial pulse wave sensor for wrist watch type system
Kwantae Kim, Minseo Kim, Hyunwoo Cho, Kwonjoon Lee, Seung-Tak Ryu, and Hoi-Jun Yoo
- Machine learning based knowledge inference with robotics
- Data mining, integration and cleaning with knowledge base(graph).
2019. 7 Ph.D. in Computer Science, Tsinghua University, Beijing, China
2010.07 M.S. in Computer Science, Tsinghua University, Beijing, China
2007.07 B.S. in Computer Science, Tsinghua University, Beijing, China
- Wearable Healthcare System
- Mixed-mode neural network
2017. 9 ~ Ph.D. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2017. 8 M.S. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2015. 2 B.S. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2011. 2 Gyeonggi Science High School
A 1.02-μW STT-MRAM-Based DNN ECG Arrhythmia Monitoring SoC With Leakage-Based Delay MAC Unit
Kyoung-Rog Lee, Jihoon Kim, Changhyeon Kim, Donghyeon Han, Juhyoung Lee, Jinsu Lee, Hongsik Jeong, and Hoi-Jun Yoo
Solid-State Circuits Letters (SSCL), Sep. 2020
A 206.3 μW Non-contact Compensation IC for Body Channel Communication
Kyoung-Rog Lee, Jaeeun Jang, and Hoi-Jun Yoo
A 1.02 μW STT-MRAM based DNN ECG Arrhythmia Monitoring SoC with Leakage-Based Delay MAC Unit
Asian Solid-State Circuits Conference (ASSCC), Nov. 2020
A 635 μW Non-contact Compensation IC for Body Channel Communication
Kyoung-Rog Lee, Jaeeun Jang, Hyunwoo Cho, and Hoi-Jun Yoo
- Computer HW Architecture
- NPU HW Design
- Intelligent Vision SoC
2015. 2 B.S. in EE, Yonsei University
2011. 2 Daegu Science High School
The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices
Jinsu Lee, Sanghoon Kang, Jinmook Lee, Dongjoo Shin, Donghyeon Han, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems I (TCAS-1), Sep. 2020
An Energy-Efficient Sparse Deep-Neural-Network Learning Accelerator with Fine-grained Mixed Precision of FP8-FP16Jinsu Lee, Juhyoung Lee, Donghyeon Han, Jinmook Lee, Gwangtae Park, and Hoi-Jun Yoo
IEEE Solid-State Circuits Letters (SSCL)
A 17.5 fJ/bit Energy-efficient Analog SRAM for Mixed-signal Processing
Jinsu Lee, Dongjoo Shin, Youchang Kim, and Hoi-Jun Yoo
IEEE Transactions on Very Large Scale Integration Systems (TVLSI)
LNPU: An Energy-Efficient Deep-Neural-Network Training Processor with Fine-Grained Mixed Precision
Jinsu Lee, Juhyoung Lee, Donghyeon Han, Jinmook Lee, Gwangtae Park, and Hoi-Jun Yoo
IEEE Hot Chips: A Symposium on High Performance Chips, Aug. 2019
LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16
A 31.2pJ/disparity/pixel Stereo Matching Processor with Stereo SRAM for Mobile UI Application
Jinsu Lee, Dongjoo Shin, Kyuho Lee, and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (SoVC), Jun 2017
- RF and Mixed-mode System IC Design For T-DMB (Territorial Digital Multimedia Broadcasting)
- Digital Broadcasting RF System
- Analog/RF & Mixed-Mode IC Design
- LNA, Mixer, AGC, VCO, Frequency Synthesizer Design
- Clock & Data Recovery Circuit Design
A 330MHz Low Jitter Fast Locking Direct Skew Compensation DLL
Joo-Ho Lee, Seon-Ho Han and Hoi-Jun Yoo
IEEE International Solid State Circuit Conference (ISSCC), pp. 352-353, 2000
The CMOS temperature sensor and cyclic ADC for low power single chip DTCXO
IEEE International Conference on VLSI and CAD (ICVC), pp. 599-601, 1999
- DNN Accelerator Architecture
- DNN SW/HW Co-Design
- Mobile DNN Optimization
2022. 2 Ph.D. in EE, Korea Advanced Institute of Science and Technology
2018. 2 M.S. in EE, Korea Advanced Institute of Science and Technology
2016. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology
2012. 2 Goyang Foreign Language High School
An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence with Software-Hardware Cross-Layer Optimizations
Sanghoon Kang, Gwangtae Park, Sangjin Kim, Soyeon Kim, Donghyeon Han and Hoi-Jun Yoo
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Oct. 2021
GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation
Sanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Junha Ryu and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits, 2021
Low-Power Scalable 3-D Face Frontalization Processor for CNN-based Face Recognition in Mobile Devices
Sanghoon Kang,Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Youchang Kim, and Hoi-Jun Yoo
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Jun. 2018
GANPU: A Versatile Many-Core Processor for Training GAN on Mobile Devices with Speculative Dual-Sparsity Exploitation
Sanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Junha Ryu, and Hoi-Jun Yoo
IEEE Hot Chips: A Symposium on High Performance Chips, Aug. 2020
GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual Sparsity Exploitation
Sanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, and Hoi-Jun Yoo
International Solid-State Circuits Conference (ISSCC), Feb. 2020
B-Face: 0.2 mW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification
Sanghoon Kang, Jinmook Lee, Changhyeon Kim, and Hoi-jun Yoo
A 0.53mW Ultra-Low-Power 3D Face Frontalization Processor for Face Recognition with Human-Level Accuracy in Wearable Devices
Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Hoi-Jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), May. 2017
- Low-power SoC Design
- Deep Learning & AI Algorithm
- Computer Vision & HRI System
2019. 3 ~ Ph.D. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2019. 2 M.S. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2017. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2013. 2 Daejeon Science High School
- International Journal Papers
Energy-efficient DNN Training Processor on Micro-AI Systems
Donghyeon Han, Sanghoon Kang, Sangyeob Kim, Juhyoung Lee, and Hoi-Jun Yoo
IEEE Open Journal of the Solid-State Circuits Society (OJSSCS), 2022
A Mobile DNN Training Processor with Automatic Bit-precision Search and Fine-grained Sparsity Exploitation
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, and Hoi-Jun Yoo
IEEE Micro, Dec. 2021
HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-point and Active Bit-precision Searching
IEEE Journal of Solid-State Circuits (JSSC), Sep. 2021
DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning
Donghyeon Han, Jinsu Lee, and Hoi-jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Dec. 2020
A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application
Donghyeon Han, Jinsu Lee, Jinmook Lee, and Hoi-jun Yoo
IEEE Transactions on Circuits and Systems I (TCAS-I), Nov. 2018
A Low-power Neural 3D Rendering Processor with Bio-inspired Visual Perception Core and Hybrid DNN Acceleration
Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park and Hoi-Jun Yoo
IEEE Symposium on Low-Power and High-Speed Chips (COOL Chips), Mar. 2023
MetaVRain: A 133mW Real-time Hyper-realistic-3D-NeRF Processor with 1D-2D Hybrid-Neural-Engines for Metaverse on Mobile Devices
Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, and Hoi-Jun Yoo
IEEE International Conference on Solid-State Circuits (ISSCC), Feb. 2023
HNPU-V2: A 46.6 FPS DNN Training Processor for Real-World Environmental Adaptation based Robust Object Detection on Moble Devices
IEEE Symposium on High Performance Chips (HOT Chips), Aug. 2022
A 0.95mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation
IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Jun. 2022
An Energy-efficient Deep Neural Network Training Processor with Bit-slice-level Reconfigurability and Sparsity Exploitation
IEEE Symposium on Low-Power and High-Speed Chips (COOL Chips), Apr. 2021
Direct Feedback Alignment based Convolutional Neural Network Training for Low-power Online Learning Processor
Donghyeon Han, and Hoi-Jun Yoo
IEEE International Conference on Computer Vision (ICCVW), Nov. 2019
A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture
Donghyeon Han, Jinsu Lee, Jinmook Lee, and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (S. VLSI), Jun. 2019
A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices
Donghyeon Han, Jinsu Lee, Jinmook Lee, Sungpill Choi, and Hoi-jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), May. 2018
- Machine learning based SoC Design
2013. 2 Daegu Il Science High School
OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor with Dual-mode Weight Compression and Sparse Weight Transposer
Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Jan. 2022
ECIM: Exponent Computing in Memory for an Energy Efficient Heterogeneous Floating-Point DNN Training Processor
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, and Hoi-Jun Yoo
IEEE Micro, Jul. 2021
SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices
Juhyoung Lee, Jinsu Lee, and Hoi-Jun Yoo
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Aug. 2020
Low-power Autonomous Adaptation System with Deep Reinforcement Learning
Juhyoung Lee, Wooyoung Jo, Seong-Wook Park, and Hoi-Jun Yoo
OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed Data
Juhyoung Lee, Sangyeob Kim, Jihoon Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, and Hoi-Jun Yoo
IEEE Symposium on High Performance Chips (HOT Chips), Aug. 2021
An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, and Hoi-Jun Yoo
Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems
Juhyoung Lee, Changhyeon Kim, Donghyeon Han, Sangyeob Kim, Sangjin Kim, and Hoi-Jun Yoo
IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Jun. 2021
A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Jinsu Lee, and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (S. VLSI), Jun. 2021
OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dual-mode Weight Compression and On-chip Sparse Weight Transposer
Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Jinsu Lee, and Hoi-Jun Yoo
A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices
Juhyoung Lee, Dongjoo Shin, Jinsu Lee, Jinmook Lee, Sanghoon Kang, and Hoi-Jun Yoo
A 46.1 fps Global Matching Optical Flow Estimation Processor for Action Recognition in Mobile Devices
Juhyoung Lee, Changhyeon Kim, Sungpill Choi, Dongjoo Shin, Sanghoon Kang, and Hoi-jun Yoo
-
- High Performace Memory and High-Speed I/O Design for Embedded Memory System
A Low Power Reconfigurable I/O DRAM Macro with Single Bit line Writing Scheme
Jeonghoon Kook and Hoi-Jun Yoo
IEEE Proceedings of the 26th ESSCIRC, pp. 384-387, 2000
- Design of high-performance mixed mode I.C.
A Multichip-on-Oxide 1.0Gb/s 80dBΩ Fully-Differential CMOS Transimpedance Amplifier for Optical Interconnect Applications
Jaeseo Lee, Seong-Jun Song, Sung Min Park, Choong-Mo Nam, Young-Se Kwon, and Hoi-Jun Yoo
IEEE International Solid State Circuit Conference (ISSCC), vol.1, pp. 80-447, 2002
Design and Implementation of CMOS LVDS 2.5Gb/s Transmitter and 1.3Gb/s Receiver for Optical Interconnections
Jaeseo Lee, Jae-Won Lim, Sung-Jun Song, Sung-Sik Song, Wang-Joo Lee and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems (ISCAS), Vol. 4, pp. 702-705, 2001
- Domestic Conference Papers
Design and Implementation of CMOS Transeiver for High Speed Interface
Korea Conference on Semiconductors (KCS)
- OLED-driver circuit
- Frequency Synthesizer
2004. 2 M.S. in EE, Korea Advanced Institute of Science and Technology
2002. 2 B.S. in Electrical & Computer Engineering, Hanyang University
A Small Ripple Regulated Charge Pump with Automatic Pumping Control Schemes
Sung-Eun Kim, Seong-Jun Song, Jin Kyung Kim, Sunyoung Kim, Jae-Youl Lee, and Hoi-Jun Yoo
ESSCIRC 2004
CMOS Optical Receiver Chipset for Gigabit Ethernet Applications
Sung-Eun Kim, Seong-Jun Song, Sung Min Park and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems (ISCAS), May 2003
2002. 2 B.S. in EE, Korea Advanced Institute of Science and Technology
- Mobile 3D Graphics Library Design
- Cache Architecture in Mobile System
2005. 2 M.S. in EE, Korea Advanced Institute of Science and Technology
2003. 2 B.S. in EE, Kyungpook National University
1996. 2 Taegu Hyup-Sung High School
A Fixed-Point 3D Graphics Library with Energy-Efficient Cache Architecture
Min-Wuk Lee, Byeong-Gyu Nam, Juho Sohn, Namjun Cho, Hyejung Kim, Kwanho Kim and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems(ISCAS) 2005
- Open O/S H/W Platform
- 3G Multimedia Mobile Development
2008. 2 M.S. in EE, Korea Advanced Institute of Science and Technology
2006. 2 B.S. in EE, Korea Advanced Institute of Science and Technology
2002. 2 Kyonggi Science High School
Dynamic Voltage and Frequency Scaling (DVFS) Scheme for Multi-Domains Power Management
Jeabin Lee, Byeong-Gyu Nam, and Hoi-Jun Yoo
IEEE Asian Solid-State Circuits Conference(A-SSCC), pp.360-363, Nov. 2007
A Power Management Unit with Continuous Co-Locking of Clock Frequency and Supply Voltage for Dynamic Voltage and Frequency Scaling
Jeabin Lee, Byeong-Gyu Nam, Seong-Jun Song, Namjun Cho and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems(ISCAS), May 2007
- Body Sensor Network System and Wearable Computer System
2008. 8 M.S. in EE, Korea Advanced Institute of Science and Technology
2004. 2 B.S. in EE, Korea Advanced Institute of Science and Technology
2002. 2 Seoul Science High School
Electrical Characterization of Screen-Printed Circuits on the Fabric
Yongsang Kim, Hyejung Kim, and Hoi-Jun Yoo
IEEE Transactions on Advanced Packaging (TADVP), Vol.33, No.1, pp.196-205, Feb. 2010
- Network-on-Chip Based SoC Design
- Low Power DSP
2009. 2 M.S. in EE, Korea Advanced Institute of Science and Technology
2007. 2 B.S. in EE, Korea Advanced Institute of Science and Technology
2003. 2 Hansung Science High School
A 54GOPS 51.8mW Analog-Digital Mixed Mode Neural Perception Engine for Fast Object Detection
Minsu Kim, Joo-Young Kim, Seungjin Lee, Jinwook Oh, and Hoi-Jun Yoo
IEEE Custom Integrated Circuits Conference (CICC), Sep. 2009
A 22.8GOPS 2.83mW Neuro-fuzzy Object Detection Engine for Fast Multi-object Recognition
IEEE Symposium on VLSI Circuits (SoVC), June 2009
A 1.55ns 0.015 mm2 64-bit Quad Number Comparator
Minsu Kim, Joo-Young Kim and Hoi-Jun Yoo
International Symposium on VLSI Design, Automation and Test(VLSI-DAT), April 2009
2010. 8 M.S. Student in EE, Korea Advanced Institute of Science and Technology
2008. 2 B.S. in EE, Korea Advanced Institute of Science and Technology
2004. 2 Seoul Science High School
An Energy-Efficient Dual Sampling SAR ADC with Reduced Capacitive DAC
Binhee Kim, Long Yan, Jerald Yoo, Namjun Cho, and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems(ISCAS), May 2009
2011. 2 M.S. in EE, Korea Advanced Institute of Science and Technology
2009. 2 B.S. in EE, Korea Advanced Institute of Science and Technology
2005. 2 Hansung Science High School
A 22.4 mW Competitive Fuzzy Edge Detection Processor for Volume Rendering
Joonsoo Kwon, Minsu Kim, Jinwook Oh, and Hoi-Jun Yoo
IEEE International Symposium on Circuit and Systems(ISCAS), Jun. 2010
- Biomedical Processor Design
2015. 9 ~ Ph.D. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2015. 8 M.S. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2010. 8 B.S. in Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST)
2005. 8 Korea Science Academy of KAIST
2018. 9 M.S. in EE, Korea Advanced Institute of Science and Technology
2016. 8 B.S. Student in EE, Korea Advanced Insititue of Science and Technology
2008. 2 Seoul Science High School
- Low power deep learning and intelligent vision SoC with memory architecture
2019. 8 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2017. 8 B.S. in EE, Kyunghee University
2014. 2 Yushin High School
Z-PIM: A Sparsity-Aware Processing-in-Memory Architecture With Fully Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, and Joo-Young Kim
IEEE Journal of Solid-State Circuits (JSSC), Early Access. 2020
An Ultra-low-power Mixed-mode Face Recognition Processor for Always-on User Authentication in Mobile Device
Ji-Hoon Kim, Changhyeon Kim, Kwantae Kim, Juhyung Lee, Hoi-Jun Yoo, and Joo-Young Kim
Journal of Semiconductor Science and Technology (JSTS), Dec. 2020
Z-PIM: An Energy-Efficient Sparsity-Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo and Joo-Young Kim
An Ultra-Low-Power Analog-Digital Hybrid CNN Face Recognition Processor Integrated with a CIS for Always-on Mobile Devices
Ji-Hoon Kim, Changhyeon Kim, Kwantae Kim and Hoi-Jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), May. 2019
2020. 2 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2018. 2 B.S. in EE, Korea University
2014. 2 Busan Science High School
FlashMAC: A Time-Frequency Hybrid MAC Architecture With Variable Latency-Aware Scheduling for TinyML Systems
Surin Gweon, Sanghoon Kang, Kwantae Kim, and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Jul. 2022
FlashMAC: An Energy-Efficient Analog-Digital Hybrid MAC with Variable Latency-Aware Scheduling
Surin Gweon, Sanghoon Kang, Donghyeon Han, Kyoung-Rog Lee, Kwantae Kim, Hoi-Jun Yoo
IEEE Asian Conference on Solid-State Circuits (ASSCC), Nov. 2021
93.8% Current Efficiency and 0.672 ns Transient Response Reconfigurable LDO for Wireless Sensor Network Systems
Surin Gweon, Jaehyuk Lee, Kwantae Kim, and Hoi-Jun Yoo
- Multicore Processor Architecture
- Deep Learning SoC
2020. 8 M.S. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2018. 7 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2013. 2 Gyeonggi Science High School
-- International Journal Papers
A 0.22–0.89 mW Low-Power and Highly-Secure Always-on Face Recognition Processor with Adversarial Attack Prevention
Youngwoo Kim, Donghyeon Han, Changhyeon Kim, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-2), May. 2020
-- International Conference Papers
IEEE International Symposium on Circuit and Systems (ISCAS), Oct. 2020
- RISC-V SoC Platform
2021. 9 ~ Ph.D. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2021. 8 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2019. 7 B.S. in EE, Fudan University
2015. 7 Yanbian No.1 High School
An Efficient Deep-Learning-Based Super-Resolution Accelerating SoC With Heterogeneous Accelerating and Hierarchical Cache
Zhiyong Li, Sangjin Kim, Dongseok Im, Dongheon Han, and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Dec. 2022
An Energy-efficient High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache Subsystem
Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, and Hoi-Jun Yoo
An 0.92 mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache
IEEE Custom Integrated Circuits Conference (CICC), Apr. 2022
A 3.6 TOPS/W Hybrid FP-FXP Deep Learning Processor with Outlier Compensation for Image-to-Image Application
Zhiyong Li, Dongseok Im, Jinsu Lee, and Hoi-jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), May. 2021
- Processing-In-Memory (PIM)
- Deep Learning Processor
- Neuromorphic
2022.3 ~ M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2022.2 B.S in EE, Sungkyunkwan University
2015.2 Daeryun High School
A 15.9 mW 96.5 fps Memory-Efficient 3D Reconstruction Processor with Dilation-based TSDF Fusion and Block-Projection Cache System
Hankyul Kwon, Gwangtae Park, Junha Ryu, Wooyoung Jo, and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems (ISCAS), May. 2023
- Deep Learning SoC Design
2022. 3 ~ M.S. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2022. 2 B.S. in EE, Korea University
2016. 2 Ulsan Science High School
A 92 fps and 2.56 mJ/frame Computing-in-Memory-based Human Pose Estimation Accelerator with Resource-Efficient Macro for Mobile Devices
Beomseok Kwon, Zhiyong Li, Sangjin Kim, Wooyoung Jo, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2023
A 92 fps and 2.56 mJ/Frame Computing-in-Memory-Based Human Pose Estimation Accelerator with Resource-Efficient Macro for Mobile Devices
- AI Algorithm
2022.8~ M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2022.7 B.S in Microelectronics, Sichuan University
2018.7 Chongqing Hechuan High School
An 2.31uJ/Inference Ultra-Low Power Always-on Event-Driven AI-IoT SoC with Switchable nvSRAM Compute-in-Memory Macro
Haoyang Sang, Wenao Xie, Gwangtae Park, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2024
IEEE International Symposium on Circuits and Systems (ISCAS), May. 2024
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