Jaekang Shin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Text Generation

Training Algorithm

Reinforcement Learning

Top Venues

IEEE Trans. Computers

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Myeonggu Kang, Junyoung Park, Hyein Shin, Jaekang Shin, Lee-Sup Kim
ToEx: Accelerating Generation Stage of Transformer-Based Language Models via Token-Adaptive Early Exit. IEEE Trans. Computers 73 (9) (2024)
Yanggon Kim, Yunki Han, Jaekang Shin, Junkyum Kim, Lee-Sup Kim
Accelerating Deep Reinforcement Learning via Phase-Level Parallelism for Robotics Applications. IEEE Comput. Archit. Lett. 23 (1) (2024)
Junyoung Park, Myeonggu Kang, Yunki Han, Yanggon Kim, Jaekang Shin, Lee-Sup Kim
Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation. CoRR (2024)
Youngbeom Jung, Hyeonuk Kim, Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
Energy-Efficient CNN Personalized Training by Adaptive Data Reformation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
Accelerating On-Device DNN Training Workloads via Runtime Convergence Monitor. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (5) (2023)
Jaekang Shin, Seungkyu Choi, Jongwoo Ra, Lee-Sup Kim
Algorithm/architecture co-design for energy-efficient acceleration of multi-task DNN. DAC (2022)
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
A Deep Neural Network Training Architecture With Inference-Aware Heterogeneous Data-Type. IEEE Trans. Computers 71 (5) (2022)
Myeonggu Kang, Hyein Shin, Jaekang Shin, Lee-Sup Kim
A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators. ICCAD (2021)
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
A Convergence Monitoring Method for DNN Training of On-Device Task Adaptation. ICCAD (2021)
Jaekang Shin, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim
A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates. DAC (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. DAC (2019)