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ORCIDYoonho Boo
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2020 – today
- 2024
[c15]Chang-Hyo Yu, Hyo-Eun Kim, Sungho Shin, Kyeongryeol Bong, Hyunsuk Kim, Yoonho Boo, Jaewan Bae, Minjae Kwon, Karim Charfi, Jinseok Kim, Hongyun Kim, Myeongbo Shim, Changsoo Ha, Wongyu Shin, Jae-Sung Yoon, Miock Chi, Byungjae Lee, Sungpill Choi, Donghan Kim, Jeongseok Woo, Seokju Yoon, Hyunje Jo, Hyunho Kim, Hyun-Seok Heo, Young-Jae Jin, Jiun Yu, Jaehwan Lee, Hyunsung Kim, Minhoo Kang, Seokhyeon Choi, Seung-Goo Kim, Myung-Hoon Choi, Jungju Oh, Yunseong Kim, Haejoon Kim, Sangeun Je, Junhee Ham, Juyeong Yoon, Jaedon Lee, Seonhyeok Park, Youngseob Park, Jaebong Lee, Boeui Hong, Jaehun Ryu, Hyunseok Ko, Kwanghyun Chung, Jongho Choi, Sunwook Jung, Yashael Faith Arthanto, Jonghyeon Kim, Heejin Cho, Hyebin Jeong, Sungmin Choi, Sujin Han, Junkyu Park, Kwangbae Lee, Sung-Il Bae, Jaeho Bang, Kyeong-Jae Lee, Yeongsang Jang, Jungchul Park, Sanggyu Park, Jueon Park, Hyein Shin, Sunghyun Park, Jinwook Oh:
2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. ISSCC 2024: 42-44- 2022
- [c14]Hyunsung Kim, Sungyeob Yoo, Jaewan Bae, Kyeongryeol Bong, Yoonho Boo, Karim Charfi, Hyo-Eun Kim, Hyun Suk Kim, Jinseok Kim, Byungjae Lee, Jaehwan Lee, Myeongbo Shim, Sungho Shin, Jeong Seok Woo, Joo-Young Kim, Sunghyun Park, Jinwook Oh:
LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators. HCS 2022: 1-10 - 2021
- [c13]Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung:
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. AAAI 2021: 6794-6802 - [c12]Sungho Shin, Yoonho Boo, Wonyong Sung:
SQWA: Stochastic Quantized Weight Averaging For Improving The Generalization Capability Of Low-Precision Deep Neural Networks. ICASSP 2021: 8052-8056 - 2020
- [c11]Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung:
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. AAAI 2020: 5784-5791 - [c10]Yoonho Boo, Wonyong Sung:
Fixed-Point Optimization of Transformer Neural Network. ICASSP 2020: 1753-1757 - [c9]Yoonho Boo, Sungho Shin, Wonyong Sung:
Quantized Neural Networks: Characterization and Holistic Optimization. SiPS 2020: 1-6 - [c8]Sungho Shin, Yoonho Boo, Wonyong Sung:
Knowledge Distillation for Optimization of Quantized Deep Neural Networks. SiPS 2020: 1-6 - [i6]Sungho Shin, Yoonho Boo, Wonyong Sung:
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks. CoRR abs/2002.00343 (2020) - [i5]Yoonho Boo, Sungho Shin, Wonyong Sung:
Quantized Neural Networks: Characterization and Holistic Optimization. CoRR abs/2006.00530 (2020) - [i4]Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung:
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. CoRR abs/2009.14502 (2020)
2010 – 2019
- 2019
- [j1]Yoonho Boo
, Wonyong Sung:
Compression of Deep Neural Networks with Structured Sparse Ternary Coding. J. Signal Process. Syst. 91(9): 1009-1019 (2019) - [c7]Yoonho Boo, Sungho Shin, Wonyong Sung:
Memorization Capacity of Deep Neural Networks under Parameter Quantization. ICASSP 2019: 1383-1387 - [i3]Sungho Shin, Yoonho Boo, Wonyong Sung:
Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks. CoRR abs/1909.01688 (2019) - 2018
- [c6]Jinhwan Park, Iksoo Choi, Yoonho Boo, Wonyong Sung:
Hierarchical Recurrent Neural Networks for Acoustic Modeling. INTERSPEECH 2018: 3728-3732 - [c5]Jinhwan Park, Yoonho Boo, Iksoo Choi, Sungho Shin, Wonyong Sung:
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. NeurIPS 2018: 10642-10653 - [c4]Yoonho Boo, Jinhwan Park, Lukas Lee, Wonyong Sung:
On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns. SLT 2018: 376-381 - 2017
- [c3]Sungho Shin, Yoonho Boo, Wonyong Sung:
Fixed-point optimization of deep neural networks with adaptive step size retraining. ICASSP 2017: 1203-1207 - [c2]Kyuhong Shim, Minjae Lee, Iksoo Choi, Yoonho Boo, Wonyong Sung:
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks. NIPS 2017: 5463-5473 - [c1]Yoonho Boo, Wonyong Sung:
Structured sparse ternary weight coding of deep neural networks for efficient hardware implementations. SiPS 2017: 1-6 - [i2]Sungho Shin, Yoonho Boo, Wonyong Sung:
Fixed-point optimization of deep neural networks with adaptive step size retraining. CoRR abs/1702.08171 (2017) - [i1]Yoonho Boo, Wonyong Sung:
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations. CoRR abs/1707.03684 (2017)
Coauthor Index
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