| 2026 | WACV | CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles. | Satoshi Hashimoto, Tatsuya Konishi, Tomoya Kaichi, Kazunori Matsumoto, Mori Kurokawa |
| 2024 | PAKDD | QWalkVec: Node Embedding by Quantum Walk. | Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa |
| 2024 | QCE | Fast Variational Knowledge Graph Embedding. | Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito |
| 2024 | SIGIR | Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. | Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa |
| 2023 | ICML | Parameter-Level Soft-Masking for Continual Learning. | Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu |
| 2023 | PAKDD | Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. | Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa |
| 2023 | PERCOM | An Effective and Efficient Self-Attention Based Model for Next POI Recommendation. | Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, Kei Yonekawa |
| 2023 | QCE | Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. | Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito |
| 2022 | ACML | A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. | Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa |
| 2022 | ICMLA | Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion. | Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara |
| 2022 | PAKDD | Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. | Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu |
| 2022 | QCE | Evaluating Variational Quantum Circuit Designs for Knowledge Graph Completion. | Mori Kurokawa, Pulak Ranjan Giri, Kazuhiro Saito |
| 2021 | Mobiquitous | An Empirical Study on News Recommendation in Multiple Domain Settings. | Shuichiro Haruta, Mori Kurokawa |
| 2021 | Mobiquitous | Concept Drift Detection with Denoising Autoencoder in Incomplete Data. | Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara |
| 2021 | Mobiquitous | A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model. | Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Kazuhiro Saito, Hideki Asoh, Mori Kurokawa |
| 2020 | SmartComp | Multi-source Transfer Learning for Human Activity Recognition in Smart Homes. | Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara |
| 2019 | PAKDD | A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. | Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara |
| 2019 | WWW | Behavior Matching between Different Domains based on Canonical Correlation Analysis. | Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa |
| 2019 | WWW | Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System. | Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa |
| 2018 | PAKDD | Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. | Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara |
| 2013 | PERCOM | Spatiotemporal route estimation consistent with human mobility using cellular network data. | Hiroshi Kanasugi, Yoshihide Sekimoto, Mori Kurokawa, Takafumi Watanabe, Shigeki Muramatsu, Ryosuke Shibasaki |
| 2009 | ACML | Averaged Naive Bayes Trees: A New Extension of AODE. | Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai |