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Sunwoo Lee 0005
Person information
- affiliation: Seoul National University, Korea
Other persons with the same name
- Sunwoo Lee — disambiguation page
- Sunwoo Lee 0001
— Inha University, Incheon, Korea
- Sunwoo Lee 0002
— Nanyang Technological University, Singapore
- Sunwoo Lee 0003
— Hanyang University, Ansan, South Korea
- Sunwoo Lee 0004
— Korea University, Seoul, South Korea
- Sunwoo Lee 0006 — UNIST, Ulsan, South Korea
- Sunwoo Lee 0007 — SK Telecom, South Korea
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2020 – today
- 2025
- [j3]Sungjin Park
, Sunwoo Lee
, Jeongwoo Park, Hyeong-Seok Choi, Kyogu Lee
, Dongsuk Jeon
:
A Real-Time Speech Enhancement Processor for Hearing Aids in 28-nm CMOS. IEEE J. Solid State Circuits 60(5): 1830-1843 (2025) - 2024
- [c7]Sunghyeon Woo, Sunwoo Lee, Dongsuk Jeon:
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models. ICLR 2024 - [c6]Sungjin Park
, Kwanghyun Shin, Dongkwon Lee
, Minyoung Kang, Sunwoo Lee, Youngmin Park, Mingoo Seok, Dongsuk Jeon:
A 5.6µW 10-Keyword End-to-End Keyword Spotting System Using Passive-Averaging SAR ADC and Sign-Exponent-Only Layer Fusion with 92.7% Accuracy. VLSI Technology and Circuits 2024: 1-2 - 2023
- [c5]Sunwoo Lee, Jeongwoo Park, Dongsuk Jeon:
A 4.27TFLOPS/W FP4/FP8 Hybrid-Precision Neural Network Training Processor Using Shift-Add MAC and Reconfigurable PE Array. ESSCIRC 2023: 221-224 - [c4]Sungjin Park
, Sunwoo Lee, Jeongwoo Park, Hyeong-Seok Choi, Dongsuk Jeon:
A0.81 mm2 740μW Real-Time Speech Enhancement Processor Using Multiplier-Less PE Arrays for Hearing Aids in 28nm CMOS. ISSCC 2023: 340-341 - 2022
- [j2]Jeongwoo Park
, Sunwoo Lee
, Dongsuk Jeon
:
A Neural Network Training Processor With 8-Bit Shared Exponent Bias Floating Point and Multiple-Way Fused Multiply-Add Trees. IEEE J. Solid State Circuits 57(3): 965-977 (2022) - [c3]Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon:
A low power neural network training processor with 8-bit floating point with a shared exponent bias and fused multiply add trees. AICAS 2022: 499 - [c2]Sunwoo Lee, Jeongwoo Park, Dongsuk Jeon:
Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization. ICLR 2022 - 2021
- [j1]Gwangho Lee
, Sunwoo Lee
, Dongsuk Jeon
:
Dynamic Block-Wise Local Learning Algorithm for Efficient Neural Network Training. IEEE Trans. Very Large Scale Integr. Syst. 29(9): 1680-1684 (2021) - [c1]Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon:
A 40nm 4.81TFLOPS/W 8b Floating-Point Training Processor for Non-Sparse Neural Networks Using Shared Exponent Bias and 24-Way Fused Multiply-Add Tree. ISSCC 2021: 148-150
Coauthor Index

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last updated on 2025-05-14 22:11 CEST by the dblp team
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