| 2026 | AAAI | Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation. | Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai |
| 2026 | KDD | Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams. | Kota Nakamura, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2026 | PAKDD | AnomalyFilter: Selective Denoising Diffusion Model for Time Series Anomaly Detection. | Kohei Obata, Zheng Chen, Yasuko Matsubara, Lingwei Zhu, Yasushi Sakurai |
| 2026 | WWW | Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso. | Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2026 | WWW | Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams. | Soshi Kakio, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai |
| 2025 | AAAI | Long-Term EEG Partitioning for Seizure Onset Detection. | Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun |
| 2025 | AAAI | Modeling Latent Non-Linear Dynamical System over Time Series. | Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai |
| 2025 | ICDM | Discovery of Latent Dynamical Patterns in Biomedical Data. | Yuka Tamura, Yasuko Matsubara, Tasuku Kimura, Ren Fujiwara, Tsuyoshi Sekitani, Sakaaki Machimura, Masayuki Endo, Tadashi Kimura, Yasushi Sakurai |
| 2025 | ICLR | GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. | Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun |
| 2025 | ICWSM | Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages. | Taichi Murayama, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai |
| 2025 | KDD | Modeling Time-evolving Causality over Data Streams. | Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai |
| 2025 | KDD | D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams. | Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata, Taichi Murayama, Yasushi Sakurai |
| 2025 | KDD | MicroAdapt: Self-Evolutionary Dynamic Modeling Algorithms for Time-evolving Data Streams. | Yasuko Matsubara, Yasushi Sakurai |
| 2025 | KDD | Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies. | Kohei Obata, Yasuko Matsubara, Yasushi Sakurai |
| 2025 | PAKDD | Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. | Kohei Obata, Taichi Murayama, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai |
| 2025 | WWW | CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems. | Kota Nakamura, Koki Kawabata, Shungo Tanaka, Yasuko Matsubara, Yasushi Sakurai |
| 2024 | ICDM | SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning. | Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai |
| 2024 | KDD | Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series. | Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2024 | KDD | Fredformer: Frequency Debiased Transformer for Time Series Forecasting. | Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai |
| 2024 | WWW | Dynamic Multi-Network Mining of Tensor Time Series. | Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | ADMA | Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. | Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | CIKM | MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. | Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | ICWSM | The Chance of Winning Election Impacts on Social Media Strategy. | Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | WWW | Modeling Dynamic Interactions over Tensor Streams. | Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | WWW | Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. | Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai |
| 2022 | CIKM | Mining Reaction and Diffusion Dynamics in Social Activities. | Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai, None None |
| 2022 | KDD | Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams. | Tasuku Kimura, Yasuko Matsubara, Koki Kawabata, Yasushi Sakurai |
| 2020 | KDD | Non-Linear Mining of Social Activities in Tensor Streams. | Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai |
| 2019 | CIKM | Automatic Sequential Pattern Mining in Data Streams. | Kouki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2019 | ICDM | Multi-aspect Mining of Complex Sensor Sequences. | Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai |
| 2019 | KDD | Dynamic Modeling and Forecasting of Time-evolving Data Streams. | Yasuko Matsubara, Yasushi Sakurai |
| 2018 | ICDM | Automatic Mining of Large IoT Sensor Tensor. | Takato Honda, Yasuko Matsubara, Yasushi Sakurai |
| 2018 | SIGMOD | StreamScope: Automatic Pattern Discovery over Data Streams. | Kouki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2017 | PAKDD | Automatic and Effective Mining of Coevolving Online Activities. | Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai |
| 2016 | KDD | Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences. | Yasuko Matsubara, Yasushi Sakurai |
| 2016 | WWW | Non-Linear Mining of Competing Local Activities. | Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos |
| 2016 | WWW | Mining Big Time-series Data on the Web. | Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos |
| 2015 | WWW | The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities. | Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos |
| 2015 | SIGMOD | Mining and Forecasting of Big Time-series Data. | Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos |
| 2014 | ICDM | Fast and Exact Monitoring of Co-Evolving Data Streams. | Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa |
| 2014 | KDD | FUNNEL: automatic mining of spatially coevolving epidemics. | Yasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, Christos Faloutsos |
| 2014 | SIGMOD | AutoPlait: automatic mining of co-evolving time sequences. | Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos |
| 2013 | PAKDD | F-Trail: Finding Patterns in Taxi Trajectories. | Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos |
| 2012 | KDD | Fast mining and forecasting of complex time-stamped events. | Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa |
| 2012 | KDD | Rise and fall patterns of information diffusion: model and implications. | Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos |
| 2011 | SDM | WindMine: Fast and Effective Mining of Web-click Sequences. | Yasushi Sakurai, Lei Li, Yasuko Matsubara, Christos Faloutsos |
| 2009 | ICDM | Scalable Algorithms for Distribution Search. | Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa |