日本語 / English

Hiroyoshi Ito


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Contact

  • Address: Room 7D501, Kasuga 1-2, Tsukuba, Ibaraki 305-8550, Japan
  • E-mail: ito[at]slis.tsukuba.ac.jp

Education



Research Interests


Unsupervised Learning, Graph Mining, Social Network, Matrix Factorization.

Publications


Journal

  1. Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs
    Hiroyoshi Ito,Takahiro Komamizu,Toshiyuki Amagasa, Hiroyuki Kitagawa,
    IEICE Transactions on Information and Systems, 102 (4), pp. 810-820, 2019. [paper]
  2. Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations
    Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa,
    Information Modelling and Knowledge Bases, IOS Press, Vol.XXVIII, pp. 489-504, 2017.

International Conference

  1. Class Name Recommendation Based on Graph Embedding of Program Elements
    Shintaro Kurimoto, Yasuhiro Hayase, Hiroshi Yonai, Hiroyoshi Ito, Hiroyuki Kitagawa,
    Proc. 26th Asia-Pacific Software Engineering Conference (APSEC) , pp. 498-505, Putrajaya, Malaysia, December 2nd - 5th, 2019. [paper]
  2. An Optimization Scheme for Non-negative Matrix Factorization under Probability Constraints
    Hiroyoshi Ito, Toshiyuki Amagasa,
    Proc. 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019) , pp. 1-8, Kyoto, Japan, February 27th - March 2nd, 2019. [paper] (Best Paper Runner Up)
  3. Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs
    Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa,
    Proc. 2nd International Workshop on Data Analytics Solutions for Real-Life Applications with 21st EDBT/ICDT Joint Conference , pp. 2-9, Vienna, Austria, March 26th−29th, 2018. [paper]
  4. Network-Word Embedding for Dynamic Text Attributed Networks
    Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa,
    Proc. 6th International Workshop on Semantic Computing for Social Networks and Organization Science with Twelfth IEEE ICSC , pp. 334-339, Laguna Hills, USA, January 31st−Feburary 2nd, 2018. [paper]
  5. Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations
    Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa,
    The 26th International Conference on Information Modelling and Knowledge Bases, Tampere, Finland, June 6−10, 2016.

Work Experiences


Research Assistant
  • University of Tsukuba, Center for Computational Sciences 2015,2016.
  • University of Tsukuba, Graduate School of Systems and Information Engineering 2017~2020.
Teaching Assistant
  • Data Structure and Algorithms University of Tsukuba, 2015 and 2016.
  • Data Structure and Algorithms (Expermnents) University of Tsukuba, 2015 and 2016.
  • Introduction to Information Science Ⅱ University of Tsukuba, 2017 and 2018.
  • CS Seminar University of Tsukuba, 2017.
  • Midterm Presentation for Master's Degree University of Tsukuba, 2017.
  • Data Engineering Ⅰ University of Tsukuba, 2017 and 2018.
Internship
  • FreakOut, inc. Engineer Internship, August 2015.
Technical Assistant
  • AIST (Deep Learning, Data Analysis) 2016~2020.
  • Department of Health Service Research, University of Tsukuba (Electronic Health Record, Database Construction, Data Analysis) 2018~2020.

(Last update 2020-03-31)