Fixed-point optimization of deep neural networks with adaptive step size retraining. - Sungho Shin; Yoonho Boo; Wonyong Sung (ICASSP, 2017)

SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks. - Kyuhong Shim; Minjae Lee; Iksoo Choi; Yoonho Boo; Wonyong Sung (NIPS, 2017)

Structured sparse ternary weight coding of deep neural networks for efficient hardware implementations. - Yoonho Boo; Wonyong Sung (SiPS, 2017)

Hierarchical Recurrent Neural Networks for Acoustic Modeling. - Jinhwan Park; Iksoo Choi; Yoonho Boo; Wonyong Sung (INTERSPEECH, 2018)

Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. - Jinhwan Park; Yoonho Boo; Iksoo Choi; Sungho Shin; Wonyong Sung (NeurIPS, 2018)

On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns. - Yoonho Boo; Jinhwan Park; Lukas Lee; Wonyong Sung (SLT, 2018)

Memorization Capacity of Deep Neural Networks under Parameter Quantization. - Yoonho Boo; Sungho Shin; Wonyong Sung (ICASSP, 2019)

Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks. - Sungho Shin; Yoonho Boo; Wonyong Sung (CoRR, 2019)

Compression of Deep Neural Networks with Structured Sparse Ternary Coding. - Yoonho Boo; Wonyong Sung (J. Signal Process. Syst., 2019)

HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. - Sungho Shin; Jinhwan Park; Yoonho Boo; Wonyong Sung (AAAI, 2020)

Fixed-Point Optimization of Transformer Neural Network. - Yoonho Boo; Wonyong Sung (ICASSP, 2020)

Quantized Neural Networks: Characterization and Holistic Optimization. - Yoonho Boo; Sungho Shin; Wonyong Sung (SiPS, 2020)

Knowledge Distillation for Optimization of Quantized Deep Neural Networks. - Sungho Shin; Yoonho Boo; Wonyong Sung (SiPS, 2020)

Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. - Yoonho Boo; Sungho Shin; Jungwook Choi; Wonyong Sung (AAAI, 2021)

SQWA: Stochastic Quantized Weight Averaging For Improving The Generalization Capability Of Low-Precision Deep Neural Networks. - Sungho Shin; Yoonho Boo; Wonyong Sung (ICASSP, 2021)

LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators. - Hyunsung Kim 003; Sungyeob Yoo; Jaewan Bae; Kyeongryeol Bong; Yoonho Boo; Karim Charfi; Hyo-Eun Kim; Hyun Suk Kim; Jinseok Kim 006; Byungjae Lee; Jaehwan Lee; Myeongbo Shim; et al. (HCS, 2022)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 2024)