World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8088
World Ranking
10548
National Ranking
119

Overview

Wonyong Sung is affiliated with Seoul National University in South Korea and works primarily in the field of Computer Science, focusing on areas related to Artificial Intelligence. Their research spans several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, and Statistical and Nonlinear Physics.

The main research topics covered by Sung include:

  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Machine Learning and ELM
  • Model Reduction and Neural Networks
  • EEG and Brain-Computer Interfaces

Wonyong Sung has contributed to multiple scientific publications across several venues. Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
  • Journal of Signal Processing Systems
  • 2022 IEEE Spoken Language Technology Workshop (SLT)

Recent papers authored or coauthored by Wonyong Sung include:

  • "HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface" published in 2020 in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima" published in 2020 on arXiv (Cornell University)
  • "Performance Assessment of Automatic Sleep Stage Classification Using Only Partial PSG Sensors" published in 2022 at the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
  • "Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks" published in 2021 in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Token-Scaled Logit Distillation for Ternary Weight Generative Language Models" published in 2023 on arXiv (Cornell University)

The scientist frequently collaborates with a number of coauthors, including:

  • Sungho Shin
  • Jin-Hwan Park
  • Yoonho Boo
  • Iksoo Choi
  • Jungwook Choi

Best Publications

  • A statistical model-based voice activity detection

    Jongseo Sohn;Nam Soo Kim;Wonyong Sung

  • Structured Pruning of Deep Convolutional Neural Networks

    Sajid Anwar;Kyuyeon Hwang;Wonyong Sung

  • Fixed-point optimization utility for C and C++ based digital signal processing programs

    Seehyun Kim;Ki-Il Kum;Wonyong Sung

  • A voice activity detector employing soft decision based noise spectrum adaptation

    Jongseo Sohn;Wonyong Sung

  • Fixed-point feedforward deep neural network design using weights +1, 0, and −1

    Kyuyeon Hwang;Wonyong Sung

  • Simulation-based word-length optimization method for fixed-point digital signal processing systems

    Wonyong Sung;Ki-Il Kum

  • Fixed point optimization of deep convolutional neural networks for object recognition

    Sajid Anwar;Kyuyeon Hwang;Wonyong Sung

  • Low-Power High-Throughput BCH Error Correction VLSI Design for Multi-Level Cell NAND Flash Memories

    Wei Liu;Junrye Rho;Wonyong Sung

  • Combined word-length optimization and high-level synthesis of digital signal processing systems

    Ki-Il Kum;Wonyong Sung

  • Resiliency of Deep Neural Networks under Quantization

    Wonyong Sung;Sungho Shin;Kyuyeon Hwang

  • AUTOSCALER for C: an optimizing floating-point to integer C program converter for fixed-point digital signal processors

    Ki-Il Kum;Jiyang Kang;Wonyong Sung

  • VLSI Implementation of BCH Error Correction for Multilevel Cell NAND Flash Memory

    Hyojin Choi;Wei Liu;Wonyong Sung

  • Bose-Chaudhuri-Hocquenghem error correction method and circuit for checking error using error correction encoder

    Wei Liu;Won-Yong Sung

  • Estimation of NAND Flash Memory Threshold Voltage Distribution for Optimum Soft-Decision Error Correction

    Dong-hwan Lee;Wonyong Sung

  • Power Modeling for GPU Architectures Using McPAT

    Jieun Lim;Nagesh B. Lakshminarayana;Hyesoon Kim;William Song

  • FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks

    Minjae Lee;Kyuyeon Hwang;Jinhwan Park;Sungwook Choi

  • Fixed-point performance analysis of recurrent neural networks

    Sungho Shin;Kyuyeon Hwang;Wonyong Sung

  • A floating-point to fixed-point assembly program translator for the TMS 320C25

    Seehyun Kim;Wonyong Sung

  • Rate-0.96 LDPC Decoding VLSI for Soft-Decision Error Correction of NAND Flash Memory

    Jonghong Kim;Wonyong Sung

  • FPGA based implementation of deep neural networks using on-chip memory only

    Jinhwan Park;Wonyong Sung

Frequent Co-Authors

Soonhoi Ha
Soonhoi Ha Seoul National University
Sanjit K. Mitra
Sanjit K. Mitra University of California, Santa Barbara
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
Swagath Venkataramani
Swagath Venkataramani IBM (United States)
Byonghyo Shim
Byonghyo Shim Seoul National University
Kiyoung Choi
Kiyoung Choi Seoul National University
Naresh R. Shanbhag
Naresh R. Shanbhag University of Illinois at Urbana-Champaign
Liang-Gee Chen
Liang-Gee Chen National Taiwan University
Vijayalakshmi Srinivasan
Vijayalakshmi Srinivasan IBM (United States)
Sudhakar Yalamanchili
Sudhakar Yalamanchili Georgia Institute of Technology

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