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

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

Conferences

GraphITE: Estimating Individual Effects of Graph-structured Treatments. Shonosuke Harada, Hisashi Kashima. CIKM2021. paper
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation. Shonosuke Harada, Hisashi Kashima. ECML-PKDD2020. 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

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