Model Change Detection With the MDL Principle. - Kenji Yamanishi; Shintaro Fukushima (IEEE Trans. Inf. Theory, 2018)

Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle. - Shintaro Fukushima; Kenji Yamanishi (Entropy, 2019)

Detecting Hierarchical Changes in Latent Variable Models. - Shintaro Fukushima; Kenji Yamanishi (ICDM, 2020)

Online Robust and Adaptive Learning from Data Streams. - Shintaro Fukushima; Atsushi Nitanda; Kenji Yamanishi (CoRR, 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)

Graph Summarization with Latent Variable Probabilistic Models. - Shintaro Fukushima; Ryoga Kanai; Kenji Yamanishi (COMPLEX NETWORKS, 2021)

Estimating Total Traffic Volume with Statistical Modeling Approach. - Jiawei Yong; Yuichi Wakabayashi; Akihiro Okayasu; Reiji Miki; Takeyuki Sasai; Masaaki Inoue; Shintaro Fukushima (ITSC, 2022)

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. - Renhe Jiang; Zhaonan Wang 001; Jiawei Yong; Puneet Jeph; Quanjun Chen; Yasumasa Kobayashi; Xuan Song 001; Shintaro Fukushima; Toyotaro Suzumura (AAAI, 2023)

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. - Xiaohang Xu 002; Toyotaro Suzumura; Jiawei Yong; Masatoshi Hanai; Chuang Yang 002; Hiroki Kanezashi; Renhe Jiang; Shintaro Fukushima (SIGSPATIAL/GIS, 2023)

Balancing Summarization and Change Detection in Graph Streams. - Shintaro Fukushima; Kenji Yamanishi (ICDM, 2023)

Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events. - Yuta Fukasawa; Yuho Yokoi; Kota Yamada; Takeyuki Sasai; Shintaro Fukushima (ITSC, 2023)

Graph Community Augmentation with GMM-Based Modeling in Latent Space. - Shintaro Fukushima; Kenji Yamanishi (ICDM, 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 (ITSC, 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 (ITSC, 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 (ITSC, 2024)

Empirical Data-Driven Approach to Eco-Friendly Deceleration. - Yusuke Yamaura; Yuho Yokoi; Yoshinao Ishii; Shintaro Fukushima (ITSC, 2024)

Leveraging trajectory simplification for efficient map-matching on road network. - Tsukasa Ishiguro; Tateyuki Sasai; Shintaro Fukushima; Sei Kato (MDM, 2024)

Multimodal Point-of-Interest Recommendation. - Yuta Kanzawa; Toyotaro Suzumura; Hiroki Kanezashi; Jiawei Yong; Shintaro Fukushima (CoRR, 2024)

Popularity‑Bias Vulnerability: Semi‑Supervised Label Inference Attack on Federated Recommender Systems. - Kenji Shinoda; Takeyuki Sasai; Shintaro Fukushima (RecSys, 2025)