Yeongjae Choi

17 papers A* 5A 2Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Novel active force feedback glove and control algorithm for a realistic virtual handshake.
SIGGRAPH Asia Posters
Daegeun Park, Juyoung Kim, Yeongjae Choi, Sung-Uk Jung
2025 — conf
Virtual Handshake Enabling Physical Interaction for Remote Presence Augmentation.
ISMAR-Adjunct
Sung-Uk Jung, Kyungill Kim, Juyoung Kim, Yeongjae Choi, Sangheon Park, Byunggyu Lee, Daegeun Park
2022 — conf
Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size.
ICTC
Namkyoo Kang, Seungeun Han, Seungyeon Kim, SeungJoon Kwon, Yeongjae Choi, Yong-Tae Lee, Seung-Ik Lee
2022 J jnl
Quantization-Error-Robust Deep Neural Network for Embedded Accelerators.
IEEE Trans. Circuits Syst. II Express Briefs
Youngbeom Jung, Hyeonuk Kim, Yeongjae Choi, Lee-Sup Kim
2022 J jnl
Rare Computing: Removing Redundant Multiplications From Sparse and Repetitive Data in Deep Neural Networks.
IEEE Trans. Computers
Kangkyu Park, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim
2021 A* conf
Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC.
ISCA
Jun-Woo Jang, Sehwan Lee, Dongyoung Kim, Hyunsun Park, Ali Shafiee Ardestani, Yeongjae Choi, Channoh Kim, Yoojin Kim, Hyeongseok Yu, Hamzah Abdel-Aziz, Jun-Seok Park, Heonsoo Lee, Dongwoo Lee, Myeong Woo Kim, Hanwoong Jung, Heewoo Nam, Dongguen Lim, Seungwon Lee, Joon-Ho Song, Suknam Kwon, Joseph Hassoun, Sukhwan Lim, Changkyu Choi
2020 A* conf
A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates.
DAC
Jaekang Shin, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim
2020 J jnl
An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices.
IEEE J. Solid State Circuits
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2020 J jnl
CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator.
IEEE Trans. Circuits Syst.
Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim
2019 — conf
A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices.
A-SSCC
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019 A* conf
An Optimized Design Technique of Low-bit Neural Network Training for Personalization on IoT Devices.
DAC
Seungkyu Choi, Jaekang Shin, Yeongjae Choi, Lee-Sup Kim
2019 A* conf
NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks.
HPCA
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
2019 A conf
eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators.
ICCAD
Youngbeom Jung, Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim
2017 A* conf
A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks.
DAC
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
2017 J jnl
Energy-Efficient Design of Processing Element for Convolutional Neural Network.
IEEE Trans. Circuits Syst. II Express Briefs
Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Minhye Kim, Lee-Sup Kim
2017 A conf
Hardware-Centric Vision Processing for Mobile IoT Environment Exploiting Approximate Graph Cut in Resistor Grid.
WACV
Yeongjae Choi, Jun-Seok Park, Lee-Sup Kim
2016 — conf
14.6 A 1.42TOPS/W deep convolutional neural network recognition processor for intelligent IoE systems.
ISSCC
Jaehyeong Sim, Jun-Seok Park, Minhye Kim, Dongmyung Bae, Yeongjae Choi, Lee-Sup Kim