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:
The resume is available in PDF .
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
[2020.12] Hosei University Research Grant for Doctoral Course Adopters in 2020 (480,000 JPY) (detail).
[2020.10] Accepted our paper to AACL-IJCNLP2020 Student Research Workshop.
[2020.07] Got JASSO Scholarship for Top 10% Excellent Master Students from Japan Student Services Organization.
[2020.06] Invited talk on Organized Session in The 34th Annual Conference of the Japanese Society for Artificial Intelligence.
[2020.04] Accepted our paper to ACL2020 Student Research Workshop.
All journal and conference papers ».
Assisted in several classes at Hosei University:
Assisted in several workshops in Tokyo relating to deep learning and CUDA:
[2020.12] Hosei University Research Grant for Doctoral Course Adopters in 2020 (480,000 JPY) (detail).
[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.
[2019.07] CEO Special Award in the second half of FY2019 at Gunosy Inc. (detail).
[2019.06] Hosei University 100th year anniversary scholarship for master students (PDF).
Official Implementation of the paper Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training
Reimplementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020) in PyTorch
📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese.
🎾 Hosei University Soft Tennis Club’s home page repository.
High-speed Deep learning API Server with Libtorch (C++) and Gin (Golang)