超分散小型IoTエッジノードのための
自己進化型リアルタイム学習基盤

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PUBLICATIONS

研究業績 (2023.10.1〜2026.10.1)

2026年度

An Eight-Channel Direct Analog Sensor Fusion Core for On-the-Spot Time-Series Analysis in Edge AI

Jia-le Cui, Yasuko Matsubara, Yasushi Sakurai, Noriyuki Miura

IEEE Journal of Solid-State Circuits JSSC2026

Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

The 35th International Joint Conference on Artificial Intelligence IJCAI2026

AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression

Naoki Chihara, Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2026

Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams

Kota Nakamura, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2026

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments

Naoki Chihara, Tatsushi Oka, Yasuko Matsubara, Yasushi Sakurai, Shota Yasui

Forty-third International Conference on Machine Learning ICML2026

AnomalyFilter: Selective Denoising Diffusion Model for Time-Series Anomaly Detection

Kohei Obata, Zheng Chen, Yasuko Matsubara, Lingwei Zhu, Yasushi Sakurai

The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining

ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks

Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara

The Fourteenth International Conference on Learning Representations ICLR2026

When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

The Fourteenth International Conference on Learning Representations ICLR2026

時間変化する因果関係の抽出に基づいた高速将来予測

千原 直己, 松原 靖子, 藤原 廉, 櫻井 保志

情報処理学会論文誌：データベース

An Analog-to-Cipher Converter, ACC

Haruki Okada, Takuji Miki, Ryozo Takahashi, Makoto Nagata, Jun Shiomi, Yoshihiro Midoh, Rei Ueno, Noriyuki Miura

IEEE Custom Integrated Circuits Conference (CICC) CICC2026

Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams

Soshi Kakio, Yasuko Matsubara, Ren Fujiwara and Yasushi Sakurai

The 2026 ACM Web Conference WWW2026

Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso

Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

The 2026 ACM Web Conference WWW2026

2025年度

工場設備センサデータのための次元圧縮に基づく故障予測アルゴリズム

後 雄貴, 松原 靖子, 東口 慎吾, 木村 輔, 櫻井 保志

日本データベース学会論文誌

偏向型テンソルストリームのための多方向特徴自動抽出とリアルタイムサイバー攻撃検出への応用

中村 航大, 川畑 光希, 田中 駿吾, 松原 靖子, 櫻井 保志

情報処理学会論文誌：データベース

スケール・形状・周波数を考慮した異常検知

水谷 雅巳, 松原 靖子, 櫻井 保志

情報処理学会論文誌：データベース

不確実性を考慮した工場設備の時系列異常検知

水谷 雅巳, 松原 靖子, 櫻井 保志

情報処理学会論文誌：データベース

大容量データを含む、複数の生体光学データを扱うためのデータベース基盤の開発

山中卓也, 熊本 康昭, 西村 隆宏, 久保 俊貴, Heqi Xi, Gunganist Kongklad, 藤田 克昌, 松原 靖子, 櫻井 保志

情報処理学会論文誌：データベース

エントロピーに基づく大規模イベントデータのための異常検知アルゴリズム

栢野 智, 松原 靖子, 川畑 光希, 櫻井 保志

情報処理学会論文誌：データベース

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

AAAI Conference on Artificial Intelligence AAAI2026

Integrated Sense-and-React Countermeasures Against Physical Attacks on Resource-Constrained Security Systems

Noriyuki Miura

IEEE Open Journal of the Solid-State Circuits Society

Learning Structured Sleep Transitions with Sequential EEG Foundation Models

Koki Yoshida, Zheng Chen, Rikuto Kotoge, Yasuko Matsubara, Yasushi Sakurai

NeurIPS 2025 Workshop BrainBodyFM

EvoBrain: Dynamic Multi-channel EEG Graph Modeling for Time-evolving Brain Network

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

The Thirty-Ninth Annual Conference on Neural Information Processing Systems NeurIPS2025

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

IEEE International Conference on Data Mining, ICDM-W, DMBIH

Entropy-Based Anomaly Detection in Evolving Graph Streams

Satoshi Kayano, Koki Kawabata, Yasuko Matsubara and Yasushi Sakurai

51st International Conference on Very Large Data Bases (VLDB) PhD workshop

Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies

Kohei Obata, Yasuko Matsubara, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2025

MicroAdapt: Self-Evolutionary Dynamic Modeling Algorithms for Time-evolving Data Streams

Yasuko Matsubara, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2025

Modeling Time-evolving Causality over Data Streams

Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2025

D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams

Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata, Taichi Murayama, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2025

Online Multi-Scale Anomaly Detection via HNSW-Driven Graph Clustering and Dynamic Centroid Updates

Motomi Mizugai, Yasuko Matsubara, Yasushi Sakurai

The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025)

BioInfore: A No-Code Genome Data Management System Based On AI Agents

Zheng Chen, Ziwei Yang, Xihao Piao, Peng Gao, Yasushi Sakurai, Yasuko Matsubara

ISMB/ECCB 2025

Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages

Taichi Murayama, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai

The International AAAI Conference on Web and Social Media

Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning

Kohei Obata, Taichi Murayama, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining

A High-Order Masking with Load-Delay-Equalized WDDL for Provable Side-Channel Security

Noriyuki Miura, Kazuki Monta, Takuya Wadatsumi, Jun Shiomi, Yukihito Hiraga, Takeshi Sugawara, Makoto Nagata

IEEE Symposium on VLSI Technology and Circuits (VLSI) VLSI2025

MLOmics: Cancer Multi-Omics Database for Machine Learning

Ziwei Yang, Rikuto Kotoge, Xihao Piao, Zheng Chen, Lingwei Zhu, Peng Gao, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

Nature Scientific Data

子宮収縮圧データに対する分娩ステージ推定

田村優香, 松原靖子, 木村輔, 関谷毅, 町村栄聡, 遠藤誠之, 木村正, 櫻井保志

電子情報通信学会論文誌D

CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems

Kota Nakamura, Koki Kawabata, Shungo Tanaka, Yasuko Matsubara, Yasushi Sakurai

The 2025 ACM Web Conference WWW2025

多次元時系列データのネットワークを基にした欠損値補間手法

小幡 紘平, 川畑 光希, 松原 靖子, 櫻井 保志

情報処理学会論文誌：データベース

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

The Thirteenth International Conference on Learning Representations ICLR2025

2024年度

Modeling Latent Non-Linear Dynamical System over Time Series

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

AAAI Conference on Artificial Intelligence AAAI2025

Long-Term EEG Partitioning for Seizure Onset Detection

Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

AAAI Conference on Artificial Intelligence AAAI2025

Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling

Pei Gao, Zheng Chen, Xin Liu, Peng Chen, Yasuko Matsubara, Yasushi Sakurai

Computer Methods and Programs in Biomedicine (ELSEVIER)

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, and Yasushi Sakurai

IEEE International Conference on Data Mining ICDM2024

Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching

Jinli Zhang, Hongwei Ren, Zongli Jiang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

IEEE Transactions on NanoBioscience

Double-Sided Multimodal Attack Sensing and Partial Re-Keying in Shared Group Key System

Ryuki Ikemoto, Soichiro Fujii, Kotaro Naruse, Jun Shiomi, Yoshihiro Midoh, Yuki Yamashita, Misato Taguchi, Takuji Miki, Makoto Nagata, Yuichi Komano, Mitsugu Iwamoto, Kazuo Sakiyama, Noriyuki Miura

IEEE European Solid-State Electronics Research Conference (ESSERC) ESSERC2024

Fredformer: Frequency Debiased Transformer for Time Series Forecasting

Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2024

Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series

Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2024

Dynamic Multi-Network Mining of Tensor Time Series

Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

The 2024 ACM Web Conference WWW2024

非負値行列因子分解を用いた地中送電線の部分放電検出

田邉 昭博, 松原 靖子, 櫻井 保志

情報処理学会論文誌：データベース

大規模webデータストリームに対する流行の拡散パターンの抽出手法

東口 慎吾, 松原 靖子, 川畑 光希, 櫻井 保志

情報処理学会論文誌：データベース

動的モード分解による時系列データストリームの将来予測

千原 直己, 松原 靖子, 藤原 廉, 櫻井 保志

情報処理学会論文誌：データベース

2023年度

時系列解析によるエンジン主軸受の摩耗予測

釣谷 周平, 松原 靖子, 水谷 雅巳, 佐藤 正彦, 櫻井 保志

日本データベース学会 データドリブンスタディーズ

Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms

Chie Nagata, Masahiro Hata, Yuki Miyazaki, Hirotada Masuda, Tamiki Wada, Tasuku Kimura, Makoto Fujii, Yasushi Sakurai, Yasuko Matsubara, Kiyoshi Yoshida, Shigeru Miyagawa, Manabu Ikeda, Takayoshi Ueno

Scientific Reports

MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling

Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

ACM International Conference on Information and Knowledge Management CIKM2023

Condition monitoring of SiC power assembly by using time-series analysis of acoustic emission during power cycling tests

Zheng Zhang, Fu Shimizu, Yasuko Matsubara, Aiji Suetake, Chuantong Chen, Yasushi Sakurai and Katsuaki Suganuma

The International Conference on Electronic Packaging Technology