Mori Kurokawa

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 31

Top Topics

Transfer Learning

Graph Embedding

Sampling Strategy

Behavioral Targeting

Top Venues

Publications

Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. SIGIR (2024)
Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa
QWalkVec: Node Embedding by Quantum Walk. PAKDD (1) (2024)
Julio Vizcarra, Shuichiro Haruta, Mori Kurokawa
Representing the Interaction between Users and Products via LLM-assisted Knowledge Graph Construction. ICSC (2024)
Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara
User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning. ICDAR@ICMR (2023)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Parameter-Level Soft-Masking for Continual Learning. ICML (2023)
Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, Kei Yonekawa
An Effective and Efficient Self-Attention Based Model for Next POI Recommendation. PerCom Workshops (2023)
Tatsuya Konishi, Shuichiro Haruta, Mori Kurokawa, Kenta Tsukatsune, Yuto Mizutani, Tomoaki Saito, Hideki Asoh, Chihiro Ono
CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks. ICDAR@ICMR (2023)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Parameter-Level Soft-Masking for Continual Learning. CoRR (2023)
Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. QCE (2023)
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. PAKDD (3) (2023)
Kei Yonekawa, Kazuhiro Saito, Mori Kurokawa
RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection. AIMLSystems (2022)
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. CoRR (2022)
Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa
A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. ACML (2022)
Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce. Knowl. Based Syst. 255 (2022)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) (2022)
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. Big Data (2022)
Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara
Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion. ICMLA (2022)
Mori Kurokawa, Pulak Ranjan Giri, Kazuhiro Saito
Evaluating Variational Quantum Circuit Designs for Knowledge Graph Completion. QCE (2022)
Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Kazuhiro Saito, Hideki Asoh, Mori Kurokawa
A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model. MobiQuitous (2021)
Mori Kurokawa
Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding. IJCKG (2021)
Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara
Concept Drift Detection with Denoising Autoencoder in Incomplete Data. MobiQuitous (2021)
Kenta Tsukatsune, Tatsuya Konishi, Yuto Mizutani, Mori Kurokawa, Shuichiro Haruta, Tomoaki Saito
Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model. WI/IAT (Workshop/Special Session) (2021)
Shuichiro Haruta, Mori Kurokawa
An Empirical Study on News Recommendation in Multiple Domain Settings. MobiQuitous (2021)
Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara
On the Transferability of Deep Neural Networks for Recommender System. IAL@PKDD/ECML (2020)
Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara
Multi-source Transfer Learning for Human Activity Recognition in Smart Homes. SMARTCOMP (2020)
Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa
Behavior Matching between Different Domains based on Canonical Correlation Analysis. WWW (Companion Volume) (2019)
Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. PAKDD (Workshops) (2019)
Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa
Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System. WWW (Companion Volume) (2019)
Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. IEEE BigData (2019)
Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning. IEEE BigData (2018)
Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. PAKDD (3) (2018)
Hiroshi Kanasugi, Yoshihide Sekimoto, Mori Kurokawa, Takafumi Watanabe, Shigeki Muramatsu, Ryosuke Shibasaki
Spatiotemporal route estimation consistent with human mobility using cellular network data. PerCom Workshops (2013)
Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai
Averaged Naive Bayes Trees: A New Extension of AODE. ACML (2009)
Chihiro Ono, Mori Kurokawa, Yoichi Motomura, Hideki Asoh
A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion. User Modeling (2007)