Shintaro Fukushima

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Change Detection

Statistical Modeling

Top Venues

IEEE Trans. Inf. Theory

Publications

Tsukasa Ishiguro, Tateyuki Sasai, Shintaro Fukushima, Sei Kato
Leveraging trajectory simplification for efficient map-matching on road network. MDM (2024)
Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. AAAI (2023)
Shintaro Fukushima, Kenji Yamanishi
Balancing Summarization and Change Detection in Graph Streams. CoRR (2023)
Shintaro Fukushima, Kenji Yamanishi
Balancing Summarization and Change Detection in Graph Streams. ICDM (2023)
Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. SIGSPATIAL/GIS (2023)
Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. CoRR (2023)
Yuta Fukasawa, Yuho Yokoi, Kota Yamada, Takeyuki Sasai, Shintaro Fukushima
Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events. ITSC (2023)
Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Toyotaro Suzumura, Shintaro Fukushima
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling. CoRR (2022)
Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. CoRR (2022)
Jiawei Yong, Yuichi Wakabayashi, Akihiro Okayasu, Reiji Miki, Takeyuki Sasai, Masaaki Inoue, Shintaro Fukushima
Estimating Total Traffic Volume with Statistical Modeling Approach. ITSC (2022)
Shintaro Fukushima, Ryoga Kanai, Kenji Yamanishi
Graph Summarization with Latent Variable Probabilistic Models. COMPLEX NETWORKS (2021)
Shintaro Fukushima, Kenji Yamanishi
Detecting Hierarchical Changes in Latent Variable Models. CoRR (2020)
Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi
Online Robust and Adaptive Learning from Data Streams. CoRR (2020)
Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin
Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis. CoRR (2020)
Shintaro Fukushima, Kenji Yamanishi
Detecting Hierarchical Changes in Latent Variable Models. ICDM (2020)
Shintaro Fukushima, Kenji Yamanishi
Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle. Entropy 21 (12) (2019)
Kenji Yamanishi, Shintaro Fukushima
Model Change Detection With the MDL Principle. IEEE Trans. Inf. Theory 64 (9) (2018)