Kei Yonekawa

21 papers A* 1B 3C 3Journal 3Unranked 11
YearRankTypeTitle / Venue / Authors
2024 A* conf
Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations.
SIGIR
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2023 — conf
An Effective and Efficient Self-Attention Based Model for Next POI Recommendation.
PerCom Workshops
Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, Kei Yonekawa
2023 — conf
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations.
PAKDD (3)
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2023 B conf
Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions.
IEEE Big Data
Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta
2023 — conf
User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning.
ICDAR@ICMR
Hao Niu, Duc V. Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2022 B conf
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.
IEEE Big Data
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2022 J jnl
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.
CoRR
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2022 J jnl
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce.
Knowl. Based Syst.
Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa
2022 C conf
Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion.
ICMLA
Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara
2022 — conf
RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection.
AIMLSystems
Kei Yonekawa, Kazuhiro Saito, Mori Kurokawa
2022 J jnl
Unsupervised Learning of Domain-Independent User Attributes.
IEEE Access
Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa
2021 C conf
A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model.
MobiQuitous
Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Kazuhiro Saito, Hideki Asoh, Mori Kurokawa
2021 C conf
Concept Drift Detection with Denoising Autoencoder in Incomplete Data.
MobiQuitous
Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2020 B conf
Multi-source Transfer Learning for Human Activity Recognition in Smart Homes.
SMARTCOMP
Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara
2020 — conf
On the Transferability of Deep Neural Networks for Recommender System.
IAL@PKDD/ECML
Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2019 — conf
A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting.
PAKDD (Workshops)
Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2019 — conf
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction.
IEEE BigData
Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2019 — conf
Behavior Matching between Different Domains based on Canonical Correlation Analysis.
WWW (Companion Volume)
Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa
2019 — conf
Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System.
WWW (Companion Volume)
Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa
2018 — conf
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR.
PAKDD (3)
Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara
2018 — conf
Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning.
IEEE BigData
Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara