WEIHAO
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Weihao ZHUANG, PhD

Deep Learning; High Performance Computing; Model Compression; Computer Vision

Github

Education

Apr 2021 - Mar 2024
D.Eng. in Informantion Science at the Kobe University, Japan
Apr 2019 - Mar 2021
M.Eng. in Informantion Science at the Kobe University, Japan
Sep 2014 - Jul 2018
B.Eng. in Measurement Control Technology and Instruments at the Beijing Normal University, Zhuhai, China

Papers

  1. Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising
    Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi
    Arxiv Preprint paper

  2. Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation
    Weihao Zhuang, Tristan Hascoet, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi
    Arxiv Preprint paper

  3. Convolutional Neural Networks Inference Memory Optimization with Receptive Field Based Input Tiling
    Weihao Zhuang, Tristan Hascoet, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi
    APSIPA Transactions on Signal and Information Processing

  4. Convolutional Neural Networks Optimization Inference with Splitting Image,
    Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
    2020 IEEE 9rd Global Conference on Consumer Electronics (GCCE). IEEE, 2020.

  5. Convolutional Neural Networks with Skeleton Kernel
    Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
    The 23st Meeting on Image Recognition and Understanding (MIRU2020)

  6. Optimizing the Computational Efficiency of 3D Segmentation Models for Connectomics
    Weihao Zhuang, Hascoet Tristan, Ryoichi Takashima, Tetsuya Takiguchi and Yasuo Ariki
    The 26th International Workshop on Frontiers of Computer Vision (IW-FCV2020)

  7. Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training
    Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi
    Proceedings of the IEEE International Conference on Computer Vision Workshops (pp. 0-0).

  8. Reducing the Memory Cost of Training Convolutional Neural Networks by CPU Offloading
    Tristan Hascoet, Weihao Zhuang, Quenti Febvre, Yasuo Ariki1, Tetsuya Takiguchi
    Journal of Software Engineering and Applications, 12(08), 307.

  9. Reduce GPU Memory Usage of Training Neural Network by CPU Offloading
    Weihao Zhuang, Tristan Hascoet, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
    The 22st Meeting on Image Recognition and Understanding (MIRU2019)

Awards

  • 2022, Kobe University SPRING Scholarship Awardee

  • 2020, Hyogo Scholarship for Privately Financed Foreign Students

  • 2018, Students Graduated with Honors, Beijing Normal University, Zhuhai

  • 2017, Second prize of the eighth "Blue Bridge Cup" national software competition (SCM design and development)

  • 2017, First prize of The eighth "Blue Bridge Cup" national software competition of Guangdong Region(SCM design and development)

  • 2017, National software/electronic industry talent certificate (senior)

  • 2016, Third-prize scholarship(Top 10%), Beijing Normal University, Zhuhai

  • 2016, Outstanding Student Cadres Award, Beijing Normal University, Zhuhai

  • 2015, First prize of Mechanical modeling & second prize of personal all-round of the eigth “Higher education cup” National Undergraduate Advanced mapping technology and product information modeling innovation competition

  • 2015, Community Contribution Award of BNUZ

  • 2015, Special scholarship (Top 1%)