Journals

• Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa. A DNN-based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-commerce IEEE Open Journal of the Industrial Electronics Society, pages 194-206, 2020. Extended version of ECNLP2019.
• Boqi Gao, Takuya Maekawa, Daichi Amagata, and Takahiro Hara. Detecting Reinforcement Learning-Based Grey Hole Attack in Mobile Wireless Sensor Networks IEICE Transaction on Communications, E103-B, number 5, May 2020.

Conferences

• Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, and Takahiro Hara. Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub Proceedings of the ACM SIGSPATIAL International Conference on Advances in Geographic Information System (SIGSPATIAL), pages 111-114, 2020. Full version is here.
• Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, and Takahiro Hara. On the Transferability of Deep Neural Networks for Recommender System Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), pages 22-37, 2020. The IAL workshop.