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Lee, Kyuho Jason (이규호)

Department
Department of Electrical Engineering(전기전자공학과)
Website
https://sites.google.com/view/kyuhojsnlee
Lab
Intelligent Systems Lab. (지능형시스템 연구실)
Research Keywords
AI System-on-Chip, Deep Learning Processor, Neuromorphic Processor, AI Embedded Systems, Automotive Processor, Network-on-Chip, Processing-in-Memory Architecture
Research Interests
Intelligent Systems Laboratory (ISL) aims to make Artificial Intelligence Systems feasible and permeates our daily-life from autonomous drones or vehicles to Internet-of-Things. The AI system is implemented on a single chip based on advanced digital VLSI and analog-digital mixed-mode circuits to utilize Deep Leaning, AI, and Spiking Neural Networks. We design AI System-on-Chip but not limited to Deep Learning (including CNN and RNN) and embedded system in which integrates the AI System-on-Chip. Also, Spiking Neural Network is integrated to design Neuromorphic Processor, which mimics human brain to realize intelligence with ultra-low-power consumption.
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2020-06The Development of Silicon for AI: Different Design ApproachesLee, Kyuho Jason; Lee, Jinmook; Choi, Sungpill, et alARTICLE87 The Development of Silicon for AI: Different Design Approaches
2020-06A 9.52 ms Latency, and Low-power Streaming Depth-estimation Processor with Shifter-based Pipelined Architecture for Smart Mobile DevicesChoi, Sungpill; Lee, Kyuho Jason; Kim, Youngwoo, et alARTICLE46 A 9.52 ms Latency, and Low-power Streaming Depth-estimation Processor with Shifter-based Pipelined Architecture for Smart Mobile Devices
2019-07Tunnelling-based ternary metal–oxide–semiconductor technologyJeong, Jae Won; Choi, Young Eun; Kim, Woo Seok, et alARTICLE989 Tunnelling-based ternary metal–oxide–semiconductor technology
2019-02A Low-power, Mixed-mode Neural Network Classifier for Robust Scene ClassificationLee, Kyuho Jason; Park, Junyoung; Yoo, Hoi-JunARTICLE291 A Low-power, Mixed-mode Neural Network Classifier for Robust Scene Classification
2017-11A 1.4-m Omega-Sensitivity 94-dB Dynamic-Range Electrical Impedance Tomography SoC and 48-Channel Hub-SoC for 3-D Lung Ventilation Monitoring SystemKim, Minseo; Jang, Jaeeun; Kim, Hyunki, et alARTICLE362 A 1.4-m Omega-Sensitivity 94-dB Dynamic-Range Electrical Impedance Tomography SoC and 48-Channel Hub-SoC for 3-D Lung Ventilation Monitoring System
2017-07A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADCKim, Minseo; Ha, Unsoo; Lee, Kyuho Jason, et alARTICLE354 A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADC
2017-01A 502-GOPS and 0.984-mW Dual-Mode Intelligent ADAS SoC With Real-Time Semiglobal Matching and Intention Prediction for Smart Automotive Black Box SystemLee, Kyuho Jason; Bong, Kyeongryeol; Kim, Changhyeon, et alARTICLE363 A 502-GOPS and 0.984-mW Dual-Mode Intelligent ADAS SoC With Real-Time Semiglobal Matching and Intention Prediction for Smart Automotive Black Box System
2016-12A CMOS Image Sensor-Based Stereo Matching Accelerator With Focal-Plane Sparse Rectification and Analog Census TransformKim, Changhyeon; Bong, Kyeongryeol; Choi, Sungpill, et alARTICLE329 A CMOS Image Sensor-Based Stereo Matching Accelerator With Focal-Plane Sparse Rectification and Analog Census Transform
2016-01A 79 pJ/b 80 Mb/s Full-Duplex Transceiver and a 42.5 mu W 100 kb/s Super-Regenerative Transceiver for Body Channel CommunicationCho, Hyunwoo; Kim, Hyunki; Kim, Minseo, et alARTICLE303 A 79 pJ/b 80 Mb/s Full-Duplex Transceiver and a 42.5 mu W 100 kb/s Super-Regenerative Transceiver for Body Channel Communication
2016-01A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart GlassesHong, Injoon; Bong, Kyeongryeol; Shin, Dongjoo, et alARTICLE309 A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses
2015-04A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object RecognitionLee, Kyuho Jason; Kim, Gyeonghoon; Park, Junyoung, et alARTICLE300 A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition
2015-01A 1.22 TOPS and 1.52 mW/MHz Augmented Reality Multicore Processor With Neural Network NoC for HMD ApplicationsKim, Gyeonghoon; Lee, Kyuho; Kim, Youchang, et alARTICLE362 A 1.22 TOPS and 1.52 mW/MHz Augmented Reality Multicore Processor With Neural Network NoC for HMD Applications
2014-11An Augmented Reality Processor with a Congestion-Aware Network-onChip SchedulerKim, Gyeonghoon; Kim, Donghyun; Park, Seongwook, et alARTICLE321 An Augmented Reality Processor with a Congestion-Aware Network-onChip Scheduler

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