Shunsuke Kitada (北田 俊輔 in Japanese) is a Research Scientist at Image and Video AI Dept., LY Corp. His research interest is now on computational advertising with a focus on automatic geneartion/evaluation and assistive technology for multi-modal ad creatives.
Previously, he got his Ph.D. in 2023 at major in applied informatics, graduate school of science and engineering, Hosei University under the supervision of Prof. Hitoshi Iyatomi. His project was to improve prediction performance and model interpretability through attention mechanisms from basic and applied research perspectives.
His personality traits can be summarized as follows:
The resume is available in PDF .
Background image borrowed from OpenAI ChatGPT illustration by Ruby Chen.
PhD in Engineering, 2023
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
About Awards and Interviews (Almost In 🇯🇵)
All experiences can be found on my LinkedIn.
Assisted in several workshops in Tokyo relating to deep learning and CUDA:
Served as a mentor, providing guidance on large-scale GPU distributed training using HPC:
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)
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