Shonosuke Harada
Hello, my name is Shonosuke Harada.
My research goals include exploring the domains of machine learning, causal inference, and graph neural networks and supporting individuals in complex decision-making.
Please feel free to contact me if you have any questions or if you are interested in collaborating.
Education
2020- Ph.D. student in Computer Science, Kyoto University, Supervised by Prof. Hisashi Kashima.
2018-2020 M.S. in Computer Science, Kyoto University, Supervised by Prof. Hisashi Kashima.
2014-2018 B.S. in Computer Science, Kyoto University, Supervised by Prof. Hisashi Kashima.
Publications
Preprints
NA
Journal
Dual graph convolutional neural network for predicting chemical networks. Shonosuke Harada, Hirotaka Akita, Tsubaki Masashi, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima. BMC Bioinformatics (presented at GIW/ABACBS 2019). paper
InfoCEVAE: treatment effect estimation with hidden confounding variables matching. Shonosuke Harada, Hisashi Kashima. Machine Learning. paper
Workshops
In-app Purchase PredictionUsing Bayesian Personalized Dwell Day Ranking. Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima. AdKDD2019. paper
Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima. Recsys2019 LBR track.
Award
JSPS Research Fellowship for Young Scientists (学振DC2)
Experiences
ECML-PKDD2020 PC member
CV
contact & link
mail: sh1108[at]ml.ist.i.kyoto-u.ac.jp, sh8.research[at]gmail.com
github: https://github.com/SH1108