An Optimized Design Technique of Low-bit Neural Network Training for Personalization on IoT Devices. - Seungkyu Choi; Jaekang Shin; Yeongjae Choi; Lee-Sup Kim (DAC, 2019)

A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates. - Jaekang Shin; Seungkyu Choi; Yeongjae Choi; Lee-Sup Kim (DAC, 2020)

A Convergence Monitoring Method for DNN Training of On-Device Task Adaptation. - Seungkyu Choi; Jaekang Shin; Lee-Sup Kim (ICCAD, 2021)

A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators. - Myeonggu Kang; Hyein Shin; Jaekang Shin; Lee-Sup Kim (ICCAD, 2021)

Algorithm/architecture co-design for energy-efficient acceleration of multi-task DNN. - Jaekang Shin; Seungkyu Choi; Jongwoo Ra; Lee-Sup Kim (DAC, 2022)

A Deep Neural Network Training Architecture With Inference-Aware Heterogeneous Data-Type. - Seungkyu Choi; Jaekang Shin; Lee-Sup Kim (IEEE Trans. Computers, 2022)

Energy-Efficient CNN Personalized Training by Adaptive Data Reformation. - Youngbeom Jung; Hyeonuk Kim; Seungkyu Choi; Jaekang Shin; Lee-Sup Kim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Accelerating On-Device DNN Training Workloads via Runtime Convergence Monitor. - Seungkyu Choi; Jaekang Shin; Lee-Sup Kim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation. - Junyoung Park; Myeonggu Kang; Yunki Han; Yanggon Kim; Jaekang Shin; Lee-Sup Kim (DAC, 2024)

CoCoA: Algorithm-Hardware Co-Design for Large-Scale GNN Training using Compressed Graph. - Yunki Han; Jaekang Shin; Gunhee Park; Lee-Sup Kim (ICCAD, 2024)

Accelerating Deep Reinforcement Learning via Phase-Level Parallelism for Robotics Applications. - Yanggon Kim; Yunki Han; Jaekang Shin; Junkyum Kim; Lee-Sup Kim (IEEE Comput. Archit. Lett., 2024)

ToEx: Accelerating Generation Stage of Transformer-Based Language Models via Token-Adaptive Early Exit. - Myeonggu Kang; Junyoung Park; Hyein Shin; Jaekang Shin; Lee-Sup Kim (IEEE Trans. Computers, 2024)

AToM: Adaptive Token Merging for Efficient Acceleration of Vision Transformer. - Jaekang Shin; Myeonggu Kang; Yunki Han; Junyoung Park; Lee-Sup Kim (IEEE Trans. Computers, 2025)