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Sungho Shin

On the Convergence of the Dynamic Inner PCA Algorithm



Sungho Shin , Alex D. Smith , S. Joe Qin , Victor M. Zavala

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* In Proceedings of Foundations of Process Analytics and Machine Learning, 2019 
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SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks



Sungho Shin , Yoonho Boo , Wonyong Sung

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Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks



Sungho Shin , Yoonho Boo , Wonyong Sung

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Generative Knowledge Transfer for Neural Language Models



Sungho Shin , Kyuyeon Hwang , Wonyong Sung

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Fixed-point optimization of deep neural networks with adaptive step size retraining



Sungho Shin , Yoonho Boo , Wonyong Sung

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* This paper is accepted in ICASSP 2017 
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Quantized neural network design under weight capacity constraint



Sungho Shin , Kyuyeon Hwang , Wonyong Sung

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* This paper is accepted at NIPS 2016 workshop on Efficient Methods for Deep Neural Networks (EMDNN). arXiv admin note: text overlap with arXiv:1511.06488 
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FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks



Minjae Lee , Kyuyeon Hwang , Jinhwan Park , Sungwook Choi , Sungho Shin , Wonyong Sung

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* Accepted to SiPS 2016 
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Fixed-Point Performance Analysis of Recurrent Neural Networks



Sungho Shin , Kyuyeon Hwang , Wonyong Sung

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Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks



Sungho Shin , Wonyong Sung

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* This paper was accepted in ISCAS 2016 
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