Sharing without caring: privacy protection of users' spatio-temporal data without compromise on utility. - Ren Ozeki; Haruki Yonekura; Hamada Rizk; Hirozumi Yamaguchi (SIGSPATIAL/GIS, 2022)

One Model Fits All: Cross-Region Taxi-Demand Forecasting. - Ren Ozeki; Haruki Yonekura; Aidana Baimbetova; Hamada Rizk; Hirozumi Yamaguchi (SIGSPATIAL/GIS, 2023)

Adaptive Pub/Sub Message Delivery for World Weather IoT. - Ren Ozeki; Akihito Hiromori; Hirozumi Yamaguchi (GLOBECOM, 2023)

Balancing Privacy and Utility of Spatio-Temporal Data for Taxi-Demand Prediction. - Ren Ozeki; Haruki Yonekura; Hamada Rizk; Hirozumi Yamaguchi (MDM, 2023)

DEMO: STM - A Privacy-Enhanced Solution for Spatio-Temporal Trajectory Management. - Haruki Yonekura; Ren Ozeki; Hamada Rizk; Hirozumi Yamaguchi (MDM, 2023)

Privacy Preserved Taxi Demand Prediction System for Distributed Data. - Ren Ozeki; Haruki Yonekura; Hamada Rizk; Hirozumi Yamaguchi (SIGSPATIAL/GIS, 2024)

Decentralized Landslide Disaster Prediction for Imbalanced and Distributed Data. - Ren Ozeki; Haruki Yonekura; Hamada Rizk; Hirozumi Yamaguchi (PerCom, 2024)

Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data. - Ren Ozeki; Haruki Yonekura; Hamada Rizk; Hirozumi Yamaguchi (CoRR, 2024)

Restoring Super-High Resolution GPS Mobility Data. - Haruki Yonekura; Ren Ozeki; Hamada Rizk; Hirozumi Yamaguchi (CoRR, 2024)

Cellular-based Indoor Localization with Adapted LLM and Label-aware Contrastive Learning. - Ren Ozeki; Haruki Yonekura; Hamada Rizk; Hirozumi Yamaguchi (SMARTCOMP, 2025)