Biography

Shunsuke Kitada (北田 俊輔 in Japanese) is a Ph.D student at Major in applied informatics, graduate school of science and engineering, Hosei University under the supervision of Prof. Hitoshi Iyatomi. His research interests include deep learning-based natural language processing, computer vision, medical image processing, and computational advertising.

His personality traits can be summarized as follows:

  • ❤️ Love research and development. He is enjoying research life, and he is currently focusing on three research topics simultaneously, e.g., natural language processing, medical image-based computer vision, computational advertising.
  • 📝 Every day read and implement the SoTA models. He has released many re-implementations of models using mainly Chainer and PyTorch. Therefore, based on state-of-the-art cases, he can advise on deep learning-based product design.
  • 😄 High technical communicativity. Summarize what he made and what he studied, and spread such information. This shows that he can input and output regularly.

The resume is available in PDF .

Interests
  • 🤖 Natural Language Processing
  • 💻 Computer Vision
  • 🏥 Medical Image Processing
  • 📃 Computational Advertising
Education
  • PhD in Engineering, Current

    Graduate School of Science and Engineering, Hosei University

  • MSc in Engineering, 2020

    Graduate School of Science and Engineering, Hosei University

  • BSc in Engineering, 2018

    Hosei University

Recent News 😀

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Recent & Upcoming Talks 🎙️

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CCSE 2019
On Predicting Ad Creative Evaluation using Deep Learning
ICML/KDD 2019 Pre-conference session

Awards & Grants 🏆

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Projects

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AllenNLP Eraser

Collection of AllenNLP DatasetReaders for ERASER

Paper Survey

Paper Survey

📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese.

Hosei University Soft Tennis Club Hp

Hosei University Soft Tennis Club Hp

🎾 Hosei University Soft Tennis Club’s home page repository.

chainer-FocalLoss

Implementation of Focal loss in Chainer.

chainer-RICAP

Implementation of RICAP in Chainer.

LSUV.pytorch

Implementation of LSUV (Layer-sequential unit-variance) in PyTorch.

libtorch-gin-api-server

High-speed Deep learning API Server with Libtorch (C++) and Gin (Golang)

nvhtop

A tool for enriching the output of nvidia-smi forked from peci1/nvidia-htop.

chainer-PyramidNet

Implementation of PyramidNet in Chainer.

chainer-InceptionResNetV2

Implementation of InceptionResNetV2 in Chainer.

chainer-IMSAT

Implementation of IMSAT in Chainer.

chainer-center-loss

Implementation of Center Loss in Chainer.