About Me
Tetsuji KUBOYAMA, Ph.D.
Professor,
Computer Centre, &
Archival Science, Graduate School of Humanities,
Gakushuin University
1-5-1 Mejiro, Toshima-ku, Tokyo 171-8588, JAPAN [MAP]
E-mail: 
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Academic Appointments
- Professor at Computer Centre, Gakushuin University
- Collaborative Researcher at Kitsuregawa Lab., Institute of Industrial Science, The University of Tokyo
- Project Researcher at Computer Center, Institute of Industrial Science, The University of Tokyo
Research Interests
- Feature selection from high dimensional data
- Approximate pattern matching for discrete data structures (sequences, trees, graphs)
- Designing similarity/distance measures, and kernel functions for discrete data structures
- Data mining and machine learning in discrete data structures
- Bioinformatics (e.g. Analysis of Glycan structures)
- Social data analysis (e.g. Analysis of patent validity)
- Information security
- Automated reasoning
Academic Career
- Apr. 2013-present: Professor at Computer Centre, Gakushuin University
- Apr. 2008-Mar. 2013: Associate Professor at Computer
Centre, Gakushuin University
- Jul. 2009-Sep. 2009: Visiting Researcher, Institute of Applied Mathematics, Bern University, Switzerland
- Apr. 1997-Mar. 2008: Research Associate (Assistant Professor) at Center for Collaborative Research, The University of Tokyo
Grants
Grants-in-Aid for Scientific Research (KAKENHI)
Publications
Awards
- 2016: The Best Paper Award at The 15th IFIP I3E conference,
- E. Hashimoto, M. Ichino, T. Kuboyama, I. Echizen, H. Yoshiura: Breaking Anonymity of Social Network Accounts by Using Coordinated and Extensible Classifiers based on Machine Learning, 15th IFIP I3E, LNCS 9844, pp.455-470, 2016.
- 2009: The Best Invited Session Award(Chair with Prof. Sebastian Rios in the University of Chile). The 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2009).
- 2008: The Incentive Award of The Japanese Society for Artificial Intelligence.
- 2006: The Presentation Award in Data Engineering Workshop from IEICE Data Engineering Technical Group and The Database Society of Japan.
External Academic Activities
Societies
- Apr. 2008-2013: Board member, Special Interest Group of Fundamental Problem of AI (SIG-FPAI), Japanese Society of Artificial Intelligence (JSAI)
- Apr. 2007-present: Editorial Board member, Transactions on Mathematical Modeling and its Applications (TOM), The Information Processing Society of Japan (IPSJ)
Conferences
- 2018 10th Asian Conference on Intelligent Information and Database Systems
(ACIIDS2018): Program committee member
- Special Session ICxS2018 (Intelligent and Contextual Systems): Program committee member
- 2017 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI): Program committee member
- 2017 20th International Conference on Discovery Science (DS2017): PC co-chair member
- 2017 9th Asian Conference on Intelligent Information and Database Systems
(ACIIDS2017): Program committee member
- 2017 20th International Conference on Discovery Science
- 2016 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI): Program committee member
- 2016 International Workshop on Smart Info-Media Systems in Asia (SISA2016), Special Sesson on High Dimensional Data Summarization for Discrete Structures: Organizer
- 2015 Workshop on Time Series Data Analysis and its Applications (TSDAA2015) in the 7th JSAI International Symposia on AI (isAI2015): Co-chair
- 2014: Workshop on Graph-based Algorithms for Big Data and its Applications (GABA2014) in the 6th JSAI International Symposia on AI (isAI2014): Program committee member
- 2013: Workshop on Data Discretization and Segmentation for Knowledge Discovery(DDS13) in the fifth JSAI International Symposia on AI (isAI2013): co-chair
- 2013: 9th IAPR - TC-15 Workshop on Graph-based Representations in Pattern Recognition (GbR 2013): Program committee member
- 2012: SCIS-ISIS 2012: Chair of Organized Session on Machine learning and its application to bioinformatics with Prof. Kilho Shin
- 2012: The 7th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB2012): Program committee member
- 2012: IEEE World Congress on Computational Intelligence (WCCI 2012) Special Session on Computational Intelligence in Social Media Analysis and Mining: Program committee member
- 2011: 2nd Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2011): Program committee member
- 2011: The 3nd Asian Conference on Machine Learning (ACML 2011): Program committee member
- 2011: 8th IAPR - TC-15 Workshop on Graph-based Representations in Pattern Recognition (GbR 2011): Program committee member
- 2010: The 2nd Asian Conference on Machine Learning (ACML 2010): Program committee member
- 2009: The 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2009): Chair of Invited Session on Social Networks with Prof. Sebastian Rios in the University of Chile
- 2009: The 1st Asian Conference on Machine Learning (ACML 2009): Program committee member
Membership in Academic Societies
- Information Processing Society of Japan (IPSJ)
- Japanese Society for Artificial Intelligence (JSAI
- Institute of Electronics, Information and Communication Engineers (IEICE)
- Database Society of Japan (DBSJ)
Teaching Experience
- Apr. 2008 - present: (Gakushuin University) Computer literacy 1,2 / Introduction to Computational statistics 1E,2E / Information Processing 1B,2B
- 2008: Project Reader of Cylab Japan in Carnegie Mellon University (Advisor Prof. Shin) Machine learning methods applied to computer security
- Apr. 2007 - Mar. 2008: Part-time lecturer of Tokyo Gakugei University for 1st and 2nd year students of Mathematics Education Mathematic and Information Processing
- Apr. 1999 - Mar. 2002: Part-time lecturer of Tokyo Gakugei University for 3rd and 4th year students of Mathematics Education / Computer Science Information and Mathematics II (graph theory, automaton theory, algorithm theory) Mathematical Logic
Ph.D. Thesis
Matching and Learning in Trees (PDF 2.7Mbyte)
Ph.D., University of Tokyo
This thesis presents a unified understanding of edit-based approaches to approximate tree matching and introduces new facts on the subject. It also provides a broad view of kernel-based learning methods for trees, and proposes novel methods based on this view. These contributions have a wide range of applications to pattern matching, computational biology, and many other areas of computer science. As an example, this thesis includes an application to computational biology to demonstrate the effectiveness of a novel learning method developed in this work.
This thesis includes a comprehensive survey and a taxonomy of tree edit distance measures.
keywords: tree edit distance, alignment of trees, tree kernels, glycans