J-GLOBAL ID:200901012830324425   Update date: Jan. 16, 2020

Sakuma Jun

サクマ ジュン | Sakuma Jun
Affiliation and department:
Job title: Professor
Research field  (1): Intelligent informatics
Research theme for competitive and other funds  (1):
  • 2009 - 2013 Privacy-preserving data mining from real-world network-structured information
Papers (160):
  • Yakura, Hiromu;Shinozaki, Shinnosuke;Nishimura, Reon;Oyama, Yoshihiro;Sakuma, Jun. Neural malware analysis with attention mechanism. Computers & Security. 2019. 87
  • Fukuchi, Kazuto;Tran, Quang Khai;Sakuma, Jun. Differentially Private Empirical Risk Minimization with Input Perturbation. Discovery Science. 2017. 10558. 82-90
  • Okada, Rina;Fukuchi, Kazuto;Sakuma, Jun. Differentially Private Analysis of Outliers. Machine Learning and Knowledge Discovery in Databases. 2015. 9285. 458-473
  • Fukuchi, Kazuto;Sakuma, Jun;Toshihiro, Kamishima. Prediction with Model-Based Neutrality. IEICE Transactions on Information and Systems. 2015. E98.D. 8. 1503-1516
  • Fukuchi, Kazuto;Sakuma, Jun. Neutralized Empirical Risk Minimization with Generalization Neutrality Bound. Machine Learning and Knowledge Discovery in Databases. 2014. 8724. 418-433
Books (3):
  • 交叉オペレータによる高次元分布推定とその最適化・モデル推定への応用
  • Handbook of Evolutionary Technology: Computation and Applications
    近代科学社 2010
  • Traveling Salesman Problem, Theory and Applications
    Intech 2010
Lectures and oral presentations  (30):
  • Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection
    (1st Asian Conference on Machine Learning)
  • Applicability of Existing Anonymization Methods to Large Location History Data in Urban Travel
    (2012 IEEE International Conference on Systems, Man, and Cybernetics)
  • Link Analysis for Private Weighted Graphs
    (32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  • Enhancement of the Neutrality in Recommendation
    (6th ACM Recommender Systems 2012, Workshop on Human Decision Making in Recommender Systems)
  • Fairness-aware Classifier with Prejudice Remover Regularizer
    (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2012)
Work history (5):
  • 2003/04/01 - 2004/06/30 IBM Research Researcher
  • 2004/07/01 - 2007/03/30 Tokyo Institute of Technology Assistant professor
  • 2007/04/01 - 2009/03/30 Tokyo Institute of Technology Assistant professor
  • 2009/04/01 - 2012/03/31 University of Tsukuba associate professor
  • 2009/10/01 - 2013/03 Japan Science and Technology Agency PRESTO researcher
Awards (1):
  • 2008/12/21 - IEEE Computational Intelligence Society IEEE CISJ Young researcher award
Association Membership(s) (1):
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