Wearable mental-health monitoring platform with independent component analysis and nonlinear chaotic analysis. - Taehwan Roh; Kyeongryeol Bong; Sunjoo Hong; Hyunwoo Cho; Hoi-Jun Yoo (EMBC, 2012)

A multi-granularity parallelism object recognition processor with content-aware fine-grained task scheduling. - Junyoung Park 002; Injoon Hong; Gyeonghoon Kim; Youchang Kim; Kyuho Lee 001; Seongwook Park; Kyeongryeol Bong; Hoi-Jun Yoo (COOL Chips, 2013)

A 646GOPS/W multi-classifier many-core processor with cortex-like architecture for super-resolution recognition. - Junyoung Park 002; Injoon Hong; Gyeonghoon Kim; Youchang Kim; Kyuho Lee 001; Seongwook Park; Kyeongryeol Bong; Hoi-Jun Yoo (ISSCC, 2013)

An 87mA·min iontophoresis controller IC with dual-mode impedance sensor for patch-type transdermal drug delivery system. - Kiseok Song; Unsoo Ha; Jaehyuk Lee; Kyeongryeol Bong; Hoi-Jun Yoo (ISSCC, 2013)

Energy-efficient Mixed-mode support vector machine processor with analog Gaussian kernel. - Kyeongryeol Bong; Gyeonghoon Kim; Hoi-Jun Yoo (CICC, 2014)

A task-level pipelined many-SIMD augmented reality processor with congestion-aware network-on-chip scheduler. - Gyeonghoon Kim; Seongwook Park; Kyuho Lee 001; Youchang Kim; Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Sungpill Choi; Junyoung Park 002; Hoi-Jun Yoo (COOL Chips, 2014)

An 1.61mW mixed-signal column processor for BRISK feature extraction in CMOS image sensor. - Kyeongryeol Bong; Gyeonghoon Kim; Injoon Hong; Hoi-Jun Yoo (ISCAS, 2014)

10.4 A 1.22TOPS and 1.52mW/MHz augmented reality multi-core processor with neural network NoC for HMD applications. - Gyeonghoon Kim; Youchang Kim; Kyuho Lee 001; Seongwook Park; Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Sungpill Choi; Jinwook Oh; Hoi-Jun Yoo (ISSCC, 2014)

An 87-mA · min Iontophoresis Controller IC With Dual-Mode Impedance Sensor for Patch-Type Transdermal Drug Delivery System. - Kiseok Song; Unsoo Ha; Jaehyuk Lee; Kyeongryeol Bong; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2014)

An Augmented Reality Processor with a Congestion-Aware Network-on-Chip Scheduler. - Gyeonghoon Kim; Donghyun Kim; Seongwook Park; Youchang Kim; Kyuho Lee 001; Injoon Hong; Kyeongryeol Bong; Hoi-Jun Yoo (IEEE Micro, 2014)

A keypoint-level parallel pipelined object recognition processor with gaze activation image sensor for mobile smart glasses system. - Injoon Hong; Dongjoo Shin; Youchang Kim; Kyeongryeol Bong; Seongwook Park; Kyuho Lee 001; Hoi-Jun Yoo (COOL Chips, 2015)

18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications. - Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Seongwook Park; Kyuho Lee 001; Youchang Kim; Hoi-Jun Yoo (ISSCC, 2015)

4.6 A1.93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications. - Seongwook Park; Kyeongryeol Bong; Dongjoo Shin; Jinmook Lee; Sungpill Choi; Hoi-Jun Yoo (ISSCC, 2015)

A 0.5-degree error 10mW CMOS image sensor-based gaze estimation processor with logarithmic processing. - Kyeongryeol Bong; Injoon Hong; Gyeonghoon Kim; Hoi-Jun Yoo (VLSIC, 2015)

A 1.22 TOPS and 1.52 mW/MHz Augmented Reality Multicore Processor With Neural Network NoC for HMD Applications. - Gyeonghoon Kim; Kyuho Lee 001; Youchang Kim; Seongwook Park; Injoon Hong; Kyeongryeol Bong; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2015)

An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications. - Seongwook Park; Junyoung Park 002; Kyeongryeol Bong; Dongjoo Shin; Jinmook Lee; Sungpill Choi; Hoi-Jun Yoo (IEEE Trans. Biomed. Circuits Syst., 2015)

An energy-efficient parallel multi-core ADAS processor with robust visual attention and workload-prediction DVFS for real-time HD stereo stream. - Kyuho Lee 001; Kyeongryeol Bong; Changhyeon Kim; Junyoung Park 002; Hoi-Jun Yoo (COOL Chips, 2016)

An intelligent ADAS processor with real-time semi-global matching and intention prediction for 720p stereo vision. - Kyuho Jason Lee; Kyeongryeol Bong; Changhyeon Kim; Hoi-Jun Yoo (Hot Chips Symposium, 2016)

A 43.7 mW 94 fps CMOS image sensor-based stereo matching accelerator with focal-plane rectification and analog census transformation. - Changhyeon Kim; Kyeongryeol Bong; Sungpill Choi; Hoi-Jun Yoo (ISCAS, 2016)

14.2 A 502GOPS and 0.984mW dual-mode ADAS SoC with RNN-FIS engine for intention prediction in automotive black-box system. - Kyuho Jason Lee; Kyeongryeol Bong; Changhyeon Kim; Jaeeun Jang; Hyunki Kim; Jihee Lee; Kyoung-Rog Lee; Gyeonghoon Kim; Hoi-Jun Yoo (ISSCC, 2016)

A 0.5° Error 10 mW CMOS Image Sensor-Based Gaze Estimation Processor. - Kyeongryeol Bong; Injoon Hong; Gyeonghoon Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2016)

A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses. - Injoon Hong; Kyeongryeol Bong; Dongjoo Shin; Seongwook Park; Kyuho Jason Lee; Youchang Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2016)

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; Hoi-Jun Yoo (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

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 001; Sungpill Choi; Hoi-Jun Yoo (ESSCIRC, 2017)

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; Hoi-Jun Yoo (ESSCIRC, 2017)

A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera. - Kyuho Lee 001; Gyeongmin Choe; Kyeongryeol Bong; Changhyeon Kim; In So Kweon; Hoi-Jun Yoo (ICVS, 2017)

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 (ISCAS, 2017)

14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector. - Kyeongryeol Bong; Sungpill Choi; Changhyeon Kim; Sanghoon Kang; Youchang Kim; Hoi-Jun Yoo (ISSCC, 2017)

A 590MDE/s semi-global matching processor with lossless data compression. - Kyeongryeol Bong; Kyuho Lee 001; Hoi-Jun Yoo (SoCC, 2017)

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. - Kyuho Jason Lee; Kyeongryeol Bong; Changhyeon Kim; Jaeeun Jang; Kyoung-Rog Lee; Jihee Lee; Gyeonghoon Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2017)

Low-Power Convolutional Neural Network Processor for a Face-Recognition System. - Kyeongryeol Bong; Sungpill Choi; Changhyeon Kim; Hoi-Jun Yoo (IEEE Micro, 2017)

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; Hoi-Jun Yoo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A Low-Power Convolutional Neural Network Face Recognition Processor and a CIS Integrated With Always-on Face Detector. - Kyeongryeol Bong; Sungpill Choi; Changhyeon Kim; Donghyeon Han; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2018)

CNNP-v2: An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture. - Sungpill Choi; Kyeongryeol Bong; Donghyeon Han; Hoi-Jun Yoo (AICAS, 2019)

CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices. - Sungpill Choi; Kyeongryeol Bong; Donghyeon Han; Hoi-Jun Yoo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators. - Hyunsung Kim 003; Sungyeob Yoo; Jaewan Bae; Kyeongryeol Bong; Yoonho Boo; Karim Charfi; Hyo-Eun Kim; Hyun Suk Kim; Jinseok Kim 006; Byungjae Lee; Jaehwan Lee; Myeongbo Shim; et al. (HCS, 2022)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 2024)