){kind=avatar}
Shunsuke Kitada
Ph.D student working on Deep Learning
Department of Applied Informatics, Graduate School of Science and Engineering, Hosei University
Intelligent information processing laboratory
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 .
- 🤖 Natural Language Processing
- 💻 Computer Vision
- 🏥 Medical Image Processing
- 📃 Computational Advertising
-
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 😀
-
[2021.06] Accepted our journal paper to IEEE Access.
-
[2021.05] Got Grant-in-Aid for Japan Society for the Promotion of Science (JSPS) Fellows, Grant Number 21J14143 (2021-2023, 1,500,000 JPY)
-
[2021.04] An article about my adaption of JSPS DC2 appeared on the website of the Department of Applied Informatics at Hosei University.
-
[2021.03] An article about my adaption of JSPS DC2 appeared on the Hosei University Graduate School website.
-
[2021.02] Adopted Japan Society for the Promotion of Science (JSPS) Research Fellowship for Young Scientists (DC2) (200,000 JPY / month).
International Journal and Conference 📝
All journal and conference papers ».
Domestic Conference in Japanese 📝
Recent & Upcoming Talks 🎙️
Awards & Grants 🏆
-
[2021.05] Grant-in-Aid for Japan Society for the Promotion of Science (JSPS) Fellows, Grant Number 21J14143 (2021-2023, 1,500,000 JPY)
-
[2021.04] Japan Society for the Promotion of Science (JSPS) Research Fellowship for Young Scientists (DC2) (200,000 JPY / month).
-
[2020.12] Hosei University Research Grant for Doctoral Course Adopters in 2020 (480,000 JPY).
-
[2020.07] JASSO Scholarship for Top 10% Excellent Master Students (2,112,000 JPY) from Japan Student Services Organization.
-
[2019.08] Honorable Mention in Young Researcher Association for NLP Studies (YANS) 2019.
Experience 💻
- Supervisor: Dr. Kyosuke Nishida
- Topic: Vision-and-langage document understanding
- Supervisor: Yuki Iwazaki, Researcher
- Topic: Multi-modal advertising (Ad) and landing page (LP) understanding
- Conducting fundamental research to evaluate and analyze ad creatives and landing pages. I have written a paper and prepared for a presentation for an international conference based on the results during my internship.
- My presentations and publications can be found at the CyberAgent tag.
- Research title: KAKENHI-PROJECT-21J14143
- Development of Perturbation Robust and Interpretable Deep Learning Models and Evaluation of Their Interpretability (ja: 摂動に頑健で解釈可能な深層学習モデルの開発とその解釈性の評価)
- Document review & interview area
- Informatics (ja: 情報学)
- Screening section
- Human informatics and related fields (ja: 人間情報学およびその関連分野)
- Subsection
- Intelligent Informatics and Related Fields (ja: 知能情報学関連)
- Area of specialization
- Natural language processing (ja: 自然言語処理)
Application information is based on the page of OIST Groups. Keywords of each field is based on the table.
- Surveyed methods for automatically creating/generating ad creatives
- Developing and evaluating prototypes using the method
- Integrating the method into the system, including testing and operating
- Advised on the improvement of advertising creative creation methods
- Participate in meetings (about 1h) at least once a week
- Wrote a articles about AI x Adtech in Japanese:
- Superviser: Dr. Yoshifumi Seki
- Conducting fundamental research to evaluate and analyze ad creatives. I have written a paper and prepared for a presentation for an international conference based on the results during my internship.
- My presentations and publications can be found at the Gunosy tag.
- Writing some articles in Japanese:
- https://data.gunosy.io/entry/ocr-tesseract-deeplearning
- https://data.gunosy.io/entry/yans2018
- https://data.gunosy.io/entry/research-intern-kdd19
- https://data.gunosy.io/entry/adkdd2019-tencent-ads-invited-talk
- https://data.gunosy.io/entry/kdd2019-fairness-and-explainable-ai
- https://data.gunosy.io/entry/can-you-reproduce-the-experiment-pyenv-poetry
Assisted in several classes at Hosei University:
- Image Processing
- Information Theory
- Operating System
- Programming Language C/C++
- Programming Language JAVA
Assisted in several workshops in Tokyo relating to deep learning and CUDA:
Projects
Attention Meets Perturbation
Official Implementation of the paper Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training
Human Attention Map for Text Classification
Reimplementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020) in PyTorch
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’s home page repository.
libtorch-gin-api-server
High-speed Deep learning API Server with Libtorch (C++) and Gin (Golang)