Shonosuke Harada

ABOut

I am a second year Ph.D student at Kyoto University, Japan since 2020.

My research interests include causal inference, recommender system and graph-related data mining such as chemical compounds, social network and so on. My research goal is to understand complex phenomena in the real world and support people in making a better decision.

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

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

cv

contact & link

mail: sh1108[at]ml.ist.i.kyoto-u.ac.jp

github: https://github.com/SH1108