| 2026 | COMPSAC | Physics-Integrated Contrastive Learning for Trustworthy Cross-Region Landslide Prediction. | Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi |
| 2026 | MDM | Learning Displacement-Robust Representations for Landslide Early Warning Under Rainfall Forecast Uncertainty. | Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi |
| 2026 | Mobisys | Poster: Data-Free One-Shot Federated Learning with Fixed Classifiers for LEO Constellations. | Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi |
| 2026 | PERCOM | Beyond Data Scarcity: A Physics-Integrated Landslide Prediction for Urban Disaster Resilience. | Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi |
| 2025 | SmartComp | Cellular-based Indoor Localization with Adapted LLM and Label-aware Contrastive Learning. | Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi |
| 2024 | PERCOM | Decentralized Landslide Disaster Prediction for Imbalanced and Distributed Data. | Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi |
| 2023 | GLOBECOM | Adaptive Pub/Sub Message Delivery for World Weather IoT. | Ren Ozeki, Akihito Hiromori, Hirozumi Yamaguchi |
| 2023 | MDM | Balancing Privacy and Utility of Spatio-Temporal Data for Taxi-Demand Prediction. | Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi |
| 2023 | MDM | DEMO: STM - A Privacy-Enhanced Solution for Spatio-Temporal Trajectory Management. | Haruki Yonekura, Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi |