International Journal/Conference Papers

  • Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai , "Dynamic Multi-Network Mining of Tensor Time Series", The 2024 ACM Web Conference (WWW2024), Singapore, May 13-17, 2024.
  • 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, "Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms", Scientific Reports, Volume 13, Article number 21090 (2023) https://www.nature.com/articles/s41598-023-48418-5, November 30, 2023.
  • Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, "MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling", ACM International Conference on Information and Knowledge Management (CIKM2023), pp. 2895-2905, Birmingham, UK, October 21-25, 2023.
  • Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, "Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation", International Conference on Advanced Data Mining and Applications (ADMA 2023), Volume 3, pp. 103-117, Shenyang, China, August 21-23, 2023.
  • Zheng Zhang, Fu Shimizu, Yasuko Matsubara, Aiji Suetake, Chuantong Chen, Yasushi Sakurai and Katsuaki Suganuma, "Condition monitoring of SiC power assembly by using time-series analysis of acoustic emission during power cycling tests", The International Conference on Electronic Packaging Technology (ICEPT 2023) , Xinjiang, China, August 8-11, 2023.
  • Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai, The Chance of Winning Election Impacts on Social Media Strategy, International AAAI Conference on Web and Social Media (ICWSM 2023), pp.674-685, Limassol, Cyprus, June 5-8, 2023.
  • Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai: "Modeling Dynamic Interactions over Tensor Streams", International World Wide Web Conference (the ACM Web Conference, WWW), Austin, TX, April-May 2023.
  • Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai: "Fast and Multi-aspect Mining of Complex Time-stamped Event Streams", International World Wide Web Conference (the ACM Web Conference, WWW), Austin, TX, April-May 2023.
  • Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai: "Mining Reaction and Diffusion Dynamics in Social Activities", ACM International Conference on Information and Knowledge Management (CIKM), pp. 1521-1531, Atlanta, GA, October 2022.
  • Tasuku Kimura, Yasuko Matsubara, Koki Kawabata, Yasushi Sakurai: "Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 3157-3167, Washington DC, August 2022.
  • Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai: "Non-Linear Mining of Social Activities in Tensor Streams", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 2093-2102, Virtual Event, California, August 2020.
  • Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai: "Real-time Forecasting of Non-linear Competing Online Activities", Journal of Information Processing, Vol. 28, pp. 333-342, May 2020.
  • Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai: "Multi-Aspect Mining of Complex Sensor Sequences", IEEE International Conference on Data Mining (ICDM), Beijing, China, November 2019.
  • Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai: "Automatic Sequential Pattern Mining in Data Streams", ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, November 2019.
  • Yasuko Matsubara, Yasushi Sakurai, "Dynamic Modeling and Forecasting of Time-evolving Data Streams", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 458-468, Anchorage, Alaska, August 4-8, 2019. [pdf] [ppt] [demo]
  • Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos, "Non-linear Dynamics of Information Diffusion in Social Networks", ACM Transactions on the Web (TWEB), Volume 11 Issue 2, 10.1145/3057741, May 2017. [pdf]
  • Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai, "Automatic and Effective Mining of Coevolving Online Activities", Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Jeju, South Korea, May 23-26, 2017.
  • Y. Matsubara, Y. Sakurai, C. Faloutsos, "Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities", World Wide Web Journal, Springer, Volume 20, Issue 3, 439-465 (2017).
  • Yasuko Matsubara, Yasushi Sakurai, "Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1045-1054, San Francisco, California, August 13-17, 2016. [pdf] [ppt] [demo]
  • Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, "Non-Linear Mining of Competing Local Activities", 25th International World Wide Web Conference (WWW), pp. 737-747, Montreal, Canada, April 11-15, 2016. [pdf] [ppt] [code]
  • Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, "The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities", 24th International World Wide Web Conference (WWW), pp. 721-731, Florence, Italy, May 18-22, 2015. [pdf] [ppt] [code]
  • Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa, "Fast and Exact Monitoring of Co-evolving Data Streams", IEEE International Conference on Data Mining (ICDM), pp. 390-399, Shenzhen, China, December 14-17, 2014. [pdf] [ppt]
  • Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos, "Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD), pp. 386-401, Sep15-19, 2014. [pdf] [ppt]
  • Yasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, Christos Faloutsos, "FUNNEL: Automatic Mining of Spatially Coevolving Epidemics", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 105-114, New York City, August 24-27, 2014. [pdf] [ppt] [code]
  • Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, "AutoPlait: Automatic Mining of Co-evolving Time Sequences", ACM SIGMOD Conference, pp. 193-204, Snowbird, Utah, June 22-27, 2014. [pdf] [ppt] [code]
  • Yasuko Matsubara, Lei Li, Evangelos Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos, "F-Trail: Finding Patterns in Taxi Trajectories", The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD),pp. 86-99, Gold Coast, Australia 2013. [pdf]
  • Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos, "Rise and Fall Patterns of Information Diffusion: Model and Implications", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 6-14, Beijing, China, August 2012. [pdf] [ppt] [code]
  • Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa, "Fast Mining and Forecasting of Complex Time-Stamped Events", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 271-279, Beijing, China, August 2012. [pdf] [ppt] [code]
  • Yasushi Sakurai, Lei Li, Yasuko Matsubara, Christos Faloutsos, "WindMine: Fast and Effective Mining of Web-click Sequences", SIAM International Conference on Data Mining (SDM), pp. 759-770, Mesa, Arizona, April 28-30, 2011. [pdf]
  • Yasuko Matsubara, Yasushi Sakurai and Masatoshi Yoshikawa: "D-Search: An Efficient and Exact Search Algorithm for Large Distribution Sets", Knowledge and Information Systems (KAIS), Springer, August 21, 2011 (Invited to best papers of ICDM 2009 issue). [pdf]
  • Yasuko Matsubara, Yasushi Sakurai and Masatoshi Yoshikawa: "Statistical Modeling of Large Distribution Sets", ACM SIGMOD Workshop on Innovative Database Research (IDAR), June 11, 2010.
  • Yasuko Matsubara, Yasushi Sakurai, and Masatoshi Yoshikawa: "Scalable Algorithms for Distribution Search", IEEE International Conference on Data Mining (ICDM), pp. 347-356, Miami, Florida, December 6-9, 2009. [pdf] [ppt]
  • Yasuko Matsubara, Yasushi Sakurai and Masatoshi Yoshikawa: "D-Search: Efficient Similarity Search Processing for Large Distribution Sets", ACM SIGMOD Workshop on Innovative Database Research (IDAR), 2009.

Tutorials/Invited talks

  • Yasuko Matsubara, "Real-time Modeling and Forecasting for Big Time-series Data: Theory and Industrial Challenges", Korea-Japan Database Workshop 2021 (KJDB2021), Online, December 3, 2021. [link]
  • Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos, "Smart Analytics for Big Time-series Data", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Tutorial, Halifax, Nova Scotia, Canada, August 13-17, 2017 (3-hour tutorial). [link]
  • Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos, "Mining Big Time-series Data on the Web", International World Wide Web Conference (WWW), Montreal, Canada, April 11-15, 2016 (3-hour tutorial). [link]
  • Yasuko Matsubara, "Mining and Forecasting of Big Time-series Data", JAFoS: Fifteenth Japanese-American Kavli Frontiers of Science Symposium Japan Society for the Promotion of Science - U.S. National Academy of Sciences, (General Participant, Poster), Irvine, California, December 4 2016.
  • Yasuko Matsubara, "Ecosystem on the Web: Non-Linear Dynamical Systems for Co-evolving Online Activities" Korea-Japan Database Workshop 2015 (KJDB2015), Okinawa, Japan, December 4, 2015. [link]
  • Yasuko Matsubara, " FUNNEL: Automatic Mining of Spatially Coevolving Epidemics" Innovative Mathematical Modeling for the Analysis of Infectious Disease Data (IMAID2015), Sapporo, Japan, Ocboter 29, 2015. [link]
  • Yasushi Sakurai,Yasuko Matsubara, Christos Faloutsos, "Mining and Forecasting of Big Time-series data", ACM SIGMOD Conference, Melbourne, AU, May 31-June 4, 2015 (3hour-tutorial). [link]
  • Yasuko Matsubara, "FUNNEL: Automatic Mining of Spatially Coevolving Epidemics", Public Health Dynamics Seminar, University of Pittsburgh, September 9, 2014. [link]
  • Yasuko Matsubara, "Fast Mining and Forecasting of Large-scale Social Networks", The 7th Korea-Japan Database Workshop 2012 (KJDB2012), Daejeon, Korea, December 1, 2012. [link]

Awards

  • MEXT The Young Scientists' Prize (April 2022)
  • Caterpillar STEM Award (February 2022)
  • ACM Recognition of Service Award (December 2020)
  • IPSJ/ACM Award for Early Career Contributions to Global Research (June 2018)
  • The 16th Teaching Award, Faculty of Engineering, Kumamoto University (March 2017)
  • IPSJ Yamashita SIG Research Award (March 2017)
  • DEIM 2016 Best Paper Award (June 2016)
  • DBSJ Kambayashi Incentive Award (Young Scientist Award, March 2016)
  • WebDB Forum 2015 Best Paper Award (November 2015)
  • DEIM 2014 Best Paper Award (June 2014)
  • SIAM Student Grants (SDM 2011)
  • ACM SIGMOD Student Grants (SIGMOD 2010)
  • Springer, Invited to best papers of IEEE ICDM 2009 issue (KAIS 2012)
  • ACM SIGMOD Student Grants (SIGMOD 2009)