Shintaro Fukushima

According to our database, Shintaro Fukushima authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Popularity‑Bias Vulnerability: Semi‑Supervised Label Inference Attack on Federated Recommender Systems.

Kenji Shinoda, Takeyuki Sasai, Shintaro Fukushima

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024

Multimodal Point-of-Interest Recommendation.

Yuta Kanzawa, Toyotaro Suzumura, Hiroki Kanezashi, Jiawei Yong, Shintaro Fukushima

CoRR, 2024

Leveraging trajectory simplification for efficient map-matching on road network.

Tsukasa Ishiguro, Tateyuki Sasai, Shintaro Fukushima, Sei Kato

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Empirical Data-Driven Approach to Eco-Friendly Deceleration.

Yusuke Yamaura, Yuho Yokoi, Yoshinao Ishii, Shintaro Fukushima

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

A Convenient Approach for Lane-Level Congestion Detection with On-Board Camera Images and Vehicle Data.

Hiroki Taniai, Yusuke Yamaura, Shintaro Fukushima, Junichiro Kadomoto, Hidetsugu Irie

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Network-Wide Traffic Volume Estimation Using Joint Matrix Factorization with Traffic Flow Conservation Law.

Yuma Taguchi, Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima, Katsushi Sanda

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Estimating Reduction in Travel Time Based on Large Scale Driving Data from Connected Vehicles.

Yuta Fukasawa, Kota Yamada, Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Graph Community Augmentation with GMM-Based Modeling in Latent Space.

Shintaro Fukushima, Kenji Yamanishi

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events.

Yuta Fukasawa, Yuho Yokoi, Kota Yamada, Takeyuki Sasai, Shintaro Fukushima

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Balancing Summarization and Change Detection in Graph Streams.

Shintaro Fukushima, Kenji Yamanishi

Proceedings of the IEEE International Conference on Data Mining, 2023

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation.

Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting.

Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Estimating Total Traffic Volume with Statistical Modeling Approach.

Jiawei Yong, Yuichi Wakabayashi, Akihiro Okayasu, Reiji Miki, Takeyuki Sasai, Masaaki Inoue, Shintaro Fukushima

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Graph Summarization with Latent Variable Probabilistic Models.

Shintaro Fukushima, Ryoga Kanai, Kenji Yamanishi

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis.

Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin

CoRR, 2020

Online Robust and Adaptive Learning from Data Streams.

Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi

CoRR, 2020

Detecting Hierarchical Changes in Latent Variable Models.

Shintaro Fukushima, Kenji Yamanishi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle.

Shintaro Fukushima, Kenji Yamanishi

Entropy, 2019

2018

Model Change Detection With the MDL Principle.

Kenji Yamanishi, Shintaro Fukushima

IEEE Trans. Inf. Theory, 2018