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2020 – today
- 2022
[c8]Won Jeon, Yong Cheol Peter Cho, Hyun-Mi Kim, Hyeji Kim, Jaehoon Chung, Ju-Yeob Kim, Miyoung Lee, Chun-Gi Lyuh, Jinho Han, Youngsu Kwon:
M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations. AICAS 2022: 150-153- [c7]Hyunjeong Kwon, Hyun-Mi Kim, Chun-Gi Lyuh, Jin-Kyu Kim, Jinho Han, Youngsu Kwon:
AIWareK: Compiling PyTorch Model for AI Processor Using MLIR Framework. AICAS 2022: 463-465 - [c6]Jinho Han, Chun-Gi Lyuh, Kyeongsun Shin, Hyun-Mi Kim, Hyunjeong Kwon, Jaehoon Chung, Yong Cheol Peter Cho, Jinkyu Kim, Jeonghui Suk, Chan Kim, Minseok Choi, Youngsu Kwon:
ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System. AICAS 2022: 466-468 - 2021
- [c5]Hyeji Kim, Jaehoon Chung, Kyoung-Seon Shin, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Yong Cheol Peter Cho, Jeongmin Yang, Je-Seok Ham, Minseok Choi, Jinho Han, Youngsu Kwon:
Live Demonstration: A Neural Processor for AI Acceleration. ISCAS 2021: 1
2010 – 2019
- 2019
- [c4]Youngsu Kwon, Jeongmin Yang, Yong Cheol Peter Cho, Kyoung-Seon Shin, Jaehoon Chung, Jinho Han, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Min-Seok Choi:
Function-Safe Vehicular AI Processor with Nano Core-In-Memory Architecture. AICAS 2019: 127-131 - [c3]Chan Kim, In San Jeon, Young-Su Kwon, Hyun-Mi Kim, Chun-Gi Lyuh, Yong Cheol Peter Cho, Jeongmin Yang, Jaehoon Chung, Kyoung-Seon Shin, Jinho Han, Min-Seok Choi:
Implementation of Yolo-v2 Image Recognition and Other Testbenches for a CNN Accelerator. ICCE-Berlin 2019: 242-247 - [c2]Youngsu Kwon, Yong Cheol Peter Cho, Jeongmin Yang, Jaehoon Chung, Kyoung-Seon Shin, Jinho Han, Chan Kim, Chun-Gi Lyuh, Hyun-Mi Kim, In San Jeon, Min-Seok Choi:
AI 32TFLOPS Autonomous Driving Processor on AI-Ware with Adaptive Power Saving. ISOCC 2019: 174-175
2000 – 2009
- 2005
- [c1]Hyun-Mi Kim, Ik-Hwan Cho, A-Young Cho, Dong-Seok Jeong:
Semi-fragile Watermarking Algorithm for Detection and Localization of Temper Using Hybrid Watermarking Method in MPEG-2 Video. CIS (2) 2005: 623-628 - 2003
- [j1]Hyun-Mi Kim, Mei-Po Kwan
:
Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration. J. Geogr. Syst. 5(1): 71-91 (2003)
Coauthor Index
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