Personal Information
Seungkyu Choi
emailskchoi at mvlsi.kaist.ac.kr
phone042-351-9853
research interests
International Journal Papers
Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Minhye Kim, Lee-Sup Kim
Energy-efficient design of processing element for convolutional neural network
IEEE Transactions on Circuits and Systems II, 2017
 
International Conference Papers
Jaekang Shin, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim
A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates
IEEE/ACM Design Automation Conference , 2020
 
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
A 47.4uJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices
IEEE Asian Solid-State Circuits Conference, 2019
 
Hyeonwook Wi, Hyeonuk Kim, Seungkyu Choi, Lee-Sup Kim
Compressing Sparse Ternary Weight Convolutional Neural Networks for Efficient Hardware Acceleration
ACM/IEEE International Symposium on Low Power Electronics and Design, 2019
 
Seungkyu Choi, Jaekang Shin, Yeongjae Choi, Lee-Sup Kim
An Optimized Design Technique of Low-bit Neural Network Training for Personalization on IoT Devices
IEEE/ACM Design Automation Conference, 2019
 
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training
ACM/IEEE International Symposium on Low Power Electronics and Design, 2018
 
Myunghoon Choi, Seungkyu Choi, Jaehyeong Sim, Lee-Sup Kim
SENIN: An Energy-Efficient Sparse Neuromorphic System
The International Symposium on Low Power Electronics and Design , 2017