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