Mori Kurokawa - RankMe

42 papers A* 2B 2C 6Misc 3Journal 9Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles. CoRR Satoshi Hashimoto, Tatsuya Konishi, Tomoya Kaichi, Kazunori Matsumoto, Mori Kurokawa
2025	J	`jnl`	CoTasks: Chain-of-Thought based Video Instruction Tuning Tasks. CoRR Yanan Wang, Julio Vizcarra, Zhi Li, Hao Niu, Mori Kurokawa
2025	—	`conf`	Constructing Cybersecurity Knowledge Graphs for Hybrid LLM-Graph Reasoning on Vulnerabilities. ISWC (Industry/Doctoral Consortium/Posters/Demos) Julio Vizcarra, Yuta Gempei, Yanan Wang, Takamasa Isohara, Mori Kurokawa
2025	J	`jnl`	Pseudo Anomalies Are All You Need: Diffusion-Based Generation for Weakly-Supervised Video Anomaly Detection. CoRR Satoshi Hashimoto, Hitoshi Nishimura, Yanan Wang, Mori Kurokawa
2025	J	`jnl`	RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model. CoRR Shuichiro Haruta, Kazunori Matsumoto, Zhi Li, Yanan Wang, Mori Kurokawa
2024	Misc	`conf`	Fast Variational Knowledge Graph Embedding. QCE Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
2024	J	`jnl`	Multi-object event graph representation learning for Video Question Answering. CoRR Yanan Wang, Shuichiro Haruta, Donghuo Zeng, Julio Vizcarra, Mori Kurokawa
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
2024	—	`conf`	QWalkVec: Node Embedding by Quantum Walk. PAKDD (1) Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa
2024	—	`conf`	Representing the Interaction between Users and Products via LLM-assisted Knowledge Graph Construction. ICSC Julio Vizcarra, Shuichiro Haruta, Mori Kurokawa
2024	J	`jnl`	Top-down Activity Representation Learning for Video Question Answering. CoRR Yanan Wang, Shuichiro Haruta, Donghuo Zeng, Julio Vizcarra, 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`	CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks. ICDAR@ICMR Tatsuya Konishi, Shuichiro Haruta, Mori Kurokawa, Kenta Tsukatsune, Yuto Mizutani, Tomoaki Saito, Hideki Asoh, Chihiro Ono
2023	A*	`conf`	Parameter-Level Soft-Masking for Continual Learning. ICML Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2023	J	`jnl`	Parameter-Level Soft-Masking for Continual Learning. CoRR Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2023	Misc	`conf`	Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. QCE Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
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	—	`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	C	`conf`	A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. ACML Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa
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	Misc	`conf`	Evaluating Variational Quantum Circuit Designs for Knowledge Graph Completion. QCE Mori Kurokawa, Pulak Ranjan Giri, Kazuhiro Saito
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`	Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2022	—	`conf`	RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection. AIMLSystems Kei Yonekawa, Kazuhiro Saito, Mori Kurokawa
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`	An Empirical Study on News Recommendation in Multiple Domain Settings. MobiQuitous Shuichiro Haruta, 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
2021	—	`conf`	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) Kenta Tsukatsune, Tatsuya Konishi, Yuto Mizutani, Mori Kurokawa, Shuichiro Haruta, Tomoaki Saito
2021	—	`conf`	Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding. IJCKG Mori Kurokawa
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
2013	—	`conf`	Spatiotemporal route estimation consistent with human mobility using cellular network data. PerCom Workshops Hiroshi Kanasugi, Yoshihide Sekimoto, Mori Kurokawa, Takafumi Watanabe, Shigeki Muramatsu, Ryosuke Shibasaki
2009	C	`conf`	Averaged Naive Bayes Trees: A New Extension of AODE. ACML Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai
2007	—	`conf`	A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion. User Modeling Chihiro Ono, Mori Kurokawa, Yoichi Motomura, Hideki Asoh