Publications by Joonsang Yu

International Conferences

  1. Gunhee Lee, Hanmin Park, Namhyung Kim, Joonsang Yu, Sujeong Jo, and Kiyoung Choi, “Acceleration of DNN Backward Propagation by Selective Computation of Gradients,” In Proceedings of the 56th Annual Design Automation Conference 2019 (DAC ‘19), June. 2019.
  2. Joonsang Yu, Sungbum Kang, and Kiyoung Choi, “Network Recasting: A Universal Method for Network Architecture Transformation,” The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Jan. 2019.
  3. Sungbum Kang, Joonsang Yu, and Kiyoung Choi, “Tapered-Ratio Compression for Residual Network,” International SoC Design Conference, Nov. 2018.
  4. Subin Huh, Joonsang Yu, and Kiyoung Choi, “A New Stochastic Mutiplier for Deep Neural Networks, ” International SoC Design Conference, pp. 46-47, Nov. 2017.
  5. Joonsang Yu, Kyounghoon Kim, Jongeun Lee, and Kiyoung Choi, “Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks,” International Conference on Computer Design, pp. 105-112, Nov. 2017.
  6. Heesu Kim, Joonsang Yu, and Kiyoung Choi, “Hybrid spiking-stochastic Deep Neural Network, ” International Symposium on VLSI Design, Automation and Test, pp. 1-4, Apr. 2017.
  7. Jungwoo Seo, Joonsang Yu, Jongeun Lee and Kiyoung Choi, “A new approach to binarizing neural networks,” International SoC Design Conference, pp. 77-78, Oct. 2016.
  8. Kyounghoon Kim, Jungki Kim, Joonsang Yu, Jungwoo Seo, Jongeun Lee, and Kiyoung Choi, “Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks,” Design Automation Conference, pp. 124:1-124:6, Jun. 2016.

Domestic Conferences

  1. 유준상, 강성범, 최기영, “지식 증류법을 활용한 심층 신경망 학습방법 분석”, 대한전자공학회 추계학술대회, pp. 693-696, 2018. 11.