Shintaro Fukushima

29 papers A* 4A 1B 1Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting. KDD (1) Hongjun Wang, Jiawei Yong, Jiawei Wang, Shintaro Fukushima, Renhe Jiang
2026	J	`jnl`	TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer. CoRR Jiawei Wang, Chuang Yang, Jiawei Yong, Xiaohang Xu, Hongjun Wang, Noboru Koshizuka, Shintaro Fukushima, Ryosuke Shibasaki, Renhe Jiang
2025	J	`jnl`	How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning. CoRR Haotian Gao, Zheng Dong, Jiawei Yong, Shintaro Fukushima, Kenjiro Taura, Renhe Jiang
2025	J	`jnl`	Maintaining Orientation of a Local Neighborhood in High-dimensional Space for Real-time Visualization of Massive Data. J. Inf. Process. Kan Torii, Shintaro Fukushima, Toshihiro Tanizawa, Masao Yamanaka
2025	A	`conf`	Popularity‑Bias Vulnerability: Semi‑Supervised Label Inference Attack on Federated Recommender Systems. RecSys Kenji Shinoda, Takeyuki Sasai, Shintaro Fukushima
2025	J	`jnl`	Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting. CoRR Hongjun Wang, Jiawei Yong, Jiawei Wang, Shintaro Fukushima, Renhe Jiang
2024	—	`conf`	A Convenient Approach for Lane-Level Congestion Detection with On-Board Camera Images and Vehicle Data. ITSC Hiroki Taniai, Yusuke Yamaura, Shintaro Fukushima, Junichiro Kadomoto, Hidetsugu Irie
2024	—	`conf`	Empirical Data-Driven Approach to Eco-Friendly Deceleration. ITSC Yusuke Yamaura, Yuho Yokoi, Yoshinao Ishii, Shintaro Fukushima
2024	—	`conf`	Estimating Reduction in Travel Time Based on Large Scale Driving Data from Connected Vehicles. ITSC Yuta Fukasawa, Kota Yamada, Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima
2024	A*	`conf`	Graph Community Augmentation with GMM-Based Modeling in Latent Space. ICDM Shintaro Fukushima, Kenji Yamanishi
2024	J	`jnl`	Graph Community Augmentation with GMM-based Modeling in Latent Space. CoRR Shintaro Fukushima, Kenji Yamanishi
2024	B	`conf`	Leveraging trajectory simplification for efficient map-matching on road network. MDM Tsukasa Ishiguro, Tateyuki Sasai, Shintaro Fukushima, Sei Kato
2024	J	`jnl`	Multimodal Point-of-Interest Recommendation. CoRR Yuta Kanzawa, Toyotaro Suzumura, Hiroki Kanezashi, Jiawei Yong, Shintaro Fukushima
2024	—	`conf`	Network-Wide Traffic Volume Estimation Using Joint Matrix Factorization with Traffic Flow Conservation Law. ITSC Yuma Taguchi, Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima, Katsushi Sanda
2023	A*	`conf`	Balancing Summarization and Change Detection in Graph Streams. ICDM Shintaro Fukushima, Kenji Yamanishi
2023	J	`jnl`	Balancing Summarization and Change Detection in Graph Streams. CoRR Shintaro Fukushima, Kenji Yamanishi
2023	—	`conf`	Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events. ITSC Yuta Fukasawa, Yuho Yokoi, Kota Yamada, Takeyuki Sasai, Shintaro Fukushima
2023	—	`conf`	Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. SIGSPATIAL/GIS Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
2023	J	`jnl`	Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. CoRR Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
2023	A*	`conf`	Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. AAAI Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
2022	—	`conf`	Estimating Total Traffic Volume with Statistical Modeling Approach. ITSC Jiawei Yong, Yuichi Wakabayashi, Akihiro Okayasu, Reiji Miki, Takeyuki Sasai, Masaaki Inoue, Shintaro Fukushima
2022	J	`jnl`	Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. CoRR Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
2021	—	`conf`	Graph Summarization with Latent Variable Probabilistic Models. COMPLEX NETWORKS Shintaro Fukushima, Ryoga Kanai, Kenji Yamanishi
2020	J	`jnl`	Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis. CoRR Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin
2020	A*	`conf`	Detecting Hierarchical Changes in Latent Variable Models. ICDM Shintaro Fukushima, Kenji Yamanishi
2020	J	`jnl`	Detecting Hierarchical Changes in Latent Variable Models. CoRR Shintaro Fukushima, Kenji Yamanishi
2020	J	`jnl`	Online Robust and Adaptive Learning from Data Streams. CoRR Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi
2019	J	`jnl`	Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle. Entropy Shintaro Fukushima, Kenji Yamanishi
2018	J	`jnl`	Model Change Detection With the MDL Principle. IEEE Trans. Inf. Theory Kenji Yamanishi, Shintaro Fukushima