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2020 – today
- 2024
[j5]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): 41-44 (2024)- [j4]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): 2248-2261 (2024) - [c6]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. DAC 2024: 225:1-225:6 - [i1]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 abs/2407.15131 (2024) - 2023
- [j3]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): 332-336 (2023) - [j2]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): 1574-1587 (2023) - 2022
- [j1]Seungkyu Choi, Jaekang Shin, Lee-Sup Kim:
A Deep Neural Network Training Architecture With Inference-Aware Heterogeneous Data-Type. IEEE Trans. Computers 71(5): 1216-1229 (2022) - [c5]Jaekang Shin, Seungkyu Choi, Jongwoo Ra, Lee-Sup Kim:
Algorithm/architecture co-design for energy-efficient acceleration of multi-task DNN. DAC 2022: 253-258 - 2021
- [c4]Seungkyu Choi, Jaekang Shin, Lee-Sup Kim:
A Convergence Monitoring Method for DNN Training of On-Device Task Adaptation. ICCAD 2021: 1-9 - [c3]Myeonggu Kang, Hyein Shin, Jaekang Shin, Lee-Sup Kim:
A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators. ICCAD 2021: 1-9 - 2020
- [c2]Jaekang Shin, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim:
A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates. DAC 2020: 1-6
2010 – 2019
- 2019
- [c1]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: 191
Coauthor Index
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