Personal Information
Jaekang Shin
emailjkshin at mvlsi.kaist.ac.kr
phone042-351-9853
research interests
International Journal Papers
Youngbeom Jung, Hyeonuk Kim, Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
Energy-Efficient CNN Personalized Training by Adaptive Data Reformation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
 
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
Accelerating On-Device DNN Training Workloads via Runtime Convergence Monitoring
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022
 
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
A Deep Neural Network Training Architecture with Inference-aware Heterogeneous Data-type
IEEE Transactions on Computers, 2022
 
International Conference Papers
Jaekang Shin, Seungkyu Choi, Jongwoo Ra, Lee-Sup Kim
Algorithm/Architecture Co-Design for Energy-Efficient Acceleration of Multi-Task DNN
IEEE/ACM Design Automation Conference, 2022
 
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
A Convergence Monitoring Method for DNN Training of On-Device Task Adaptation
IEEE/ACM International Conference On Computer Aided Design, 2021
 
Myeonggu Kang, Hyein Shin, Jaekang Shin, Lee-Sup Kim
A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators
IEEE/ACM International Conference On Computer Aided Design, 2021
 
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, 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