Welcome to Takasu Laboratory. To join our laboratory, please find details about the research in RESEARCH and:
- NII and Graduate Program – 3 years and 5 years Ph.D. program under the Department of Informatics, The Graduate University for Advanced Studies (SOKENDAI)
- NII International Internship Program (on a specific period; please refer to the website)
News
- [2025-10-28] Our paper “RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction” by Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu, Masoud Mansoury has been accepted to The European Conference on Artificial Intelligence 2025 (ECAI’25)
- [2025-07-08] Our paper “Cross-Domain Recommendation with Personalized Rating Pattern Compatibility as Transfer Rate Between Domains” by Natthapol Maneechote, Saranya Maneeroj, Atsuhiro Takasu has been accepted to IEEE Access
- [2025-06-19] Our paper “Generalized Ordered Wasserstein Distance for Sequential Data” by Tung Doan, Hiep To, Hong Vuong, Muriel Visani, Atsuhiro Takasu, Khoat Than has been accepted to Pattern Recognition
- [2025-05-29] Our paper “Integrating a Sequential Model Into GNN-Based Social Recommendation for Relieving Over-Smoothing Problem” by Janekhwan Kitsupapaisan, Saranya Maneeroj, Atsuhiro Takasu has been accepted to IEEE Access
- [2025-04-10] Our paper “QUADEN: Discovering Latent Neighbors for Sparse Users and Items Across Interaction Quadrants in Recommender System” by Nakarin Sritrakool, Saranya Maneeroj, and Atsuhiro Takasu has been accepted to ACM Transactions on Information Systems (TOIS)
- [2025-04-10] Our paper “An Adversarial Model with Diffusion for Robust Recommendation against Shilling Attack” by Thi-Hanh Le, Padipat Sitkrongwong, Panagiotis Andriotis, Quang-Thuy Ha, and Atsuhiro Takasu won the best paper award: Software Design & Development in The 40th ACM/SIGAPP Symposium On Applied Computing
- [2025-04-10] Our paper “COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Network” by Pongsakorn Jirachanchaisiri, Saranya Maneeroj, and Atsuhiro Takasu has been accepted to ACM Transactions on Knowledge Discovery from Data (TKDD)