MASAHIRO KIMURA, Ph. D.

Email : kimura@rins.ryukoku.ac.jp
Tel : +81 77 543 7406
Fax : +81 77 543 7428
Address : Department of Electronics and Informatics, Ryukoku University, Otsu 520-2194, Japan

Profile

Research Interests

• Mathematical methods for modeling complex phenomena
• Neural computation
• Machine learning
• Web mining
• Complex networks

Professional Activities

• Program Committee, Second International Workshop on Social Computing, Behavior Modeling, and Prediction, 2009.
• Program Committee Member, 10th Pacific Rim International Conference on Artificial Intelligence, 2008.
• Technical Committee Member, 2008 International Joint Conference on Neural Networks, 2008.
• Management Commitee, IPSJ Network Ecology Research Group, 2005 -- present.
• Editorial Commitee (Bulletin of the Japan Society for Industrial and Applied Mathematics), 2003 -- 2006.
• Paper Review Member (IEICE Transactions on Information and Systems), 1999 -- present.
• Part-time Lecturer (Ritsumeikan University), September 2004 -- March 2005.
• Part-time Lecturer (Meijo University), June 2004.

Awards

• 2009 JSIAM Best Paper Award (Japan Society for Industrial and Applied Mathematics), 2009.
• Best Paper Award (8th IEEE International Conference on Computer and Information Technology), 2008.
• 2004 JSAI Incentive Award (Japanese Society for Artficial Intelligence), 2005.

Publications

Refereed Journal Papers:

• Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda: Extracting influential nodes on to a social network for information diffusion, Data Mining and Knowledge Discovery, Vol.20, No.1, 70-97, 2010.

• Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda: Learning information diffusion model for extracting influential nodes in a social network, Transactions of the Japanese Society for Artificial Intelligence, Vol.25, No.1, 215-223, 2010.

• Masahiro Kimura, Kazumi Saito and Hiroshi Motoda: Blocking links to minimize contamination spread in a social network, ACM Transactions on Knowledge Discovery from Data, Vol.3, No.2, Article 9, 2009.

• Masahiro Kimura and Kazumi Saito: Extracting major latent topics in document streams using PMM-PCA, Transactions of Japan Society for Industrial and Applied Mathematics, Vol.18, No.3, 363-388, 2008, in Japanese.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Compilation to visualize the dynami clusters by the adapted self-organizing network, Transactions of the Japanese Society for Artificial Intelligence, Vol.23, No.5, 319-329, 2008, in Japanese.

• Masahiro Kimura, Kazumi Saito and Ryohei Nakano: Efficient finding of influential nodes from a social network for information diffusion, Transactions of Institute of Electronics Information and Communication Engineers, Vol.J91-D, No.4, 1004-1015, 2008, in Japanese.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Evaluation of vector representable topics that were extracted automatically, IPSJ Journal, Vol.48, No.SIG6(TOM17), 1-11, 2007, in Japanese.

• Kazuhiro Kazama, Shin-ya Sato, Kazumi Saito and Masahiro Kimura: Analyzing SEO communities using trackback networks, IPSJ Journal, Vol.47, No.3, 840-849, 2006, in Japanese.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling share dynamics by extracting competition structure, Physica D, Vol.198, Issues 1-2, 57-73, 2004.

• Masairo Kimura, Kazumi Saito and Naonori Ueda: Modeling of growing networks with directional attachment and communities, Neural Networks, Vol.17, No.7, 975-988, 2004.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling network growth with directional attachment and communities, Systems and Computers in Japan, Vol.35, No.8, 1-11, 2004.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling network growth with directional attachment and communities, Transactions of Institute of Electronics Information and Communication Engineers, Vol.J86-D-II, No.10, 1468-1479, 2003, in Japanese.

• Masahiro Kimura: On unique representations of certain dynamical systems produced by continuous-time recurrent neural networks, Neural Computation, Vol.14, No.12, 2981-2996, 2002.

• Masahiro Kimura and Ryohei Nakano: Dynamical systems produced by recurrent neural networks, Systems ans Computers in Japan, Vol.31, No.4, 77-86, 2000.

• Masahiro Kimura and Ryohei Nakano: A unique representation of affine neural dynamical systems, Transactions of Japan Society for Industrial and Applied Mathematics, Vol.9, No.2, 37-50, 1999, in Japanese.

• Masahiro Kimura and Ryohei Nakano: Dynamical systems produced by recurrent neural networks, Transactions of Institute of Electronics, Information and Communication Engineers, Vol.J82-D-II, No.4, 818-828, 1999, in Japanese.

• Masahiro Kimura and Ryohei Nakano: Learning dynamical systems by recurrent neural networks from orbits, Neural Networks, Vol.11, No.9, 1589-1599, 1998.

• Masahiro Kimura, Takafumi Saito and Mikio Shinya: Surface deformation with differential geometric structures, Computer Aided Geomeric Design, Vol.13, No.3, 243-256, 1996.

• Masahiro Kimura: Homogeneous Einstein metrics on certain Kaehler C-spaces, Advanced Studies in Pure Mathematics, Vol.18-I, 303-320, 1990.

Refereed International Conference Papers:

• Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: Behavioral analyses of information diffusion models by observed data of social network, In Proceedings of 2010 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP10), to appear.

• Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: Learning continuous-time information diffusion model for social behavioral data analysis, In Z. Zhou and T. Washio (Eds.), Advances in Machine Learning (ACML 2009), Lecture Notes in Artificial Intelligence, Vol. 5828, Springer (2009), 322-337.

• Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Discovering influential nodes for SIS models in social networks, In J. Gama, V.S. Costa, A.M. Jorge, and P.B. Brazdil (Eds.), Discovery Science (DS 2009), Lecture Notes in Artificial Intelligence, Vol. 5808, Springer (2009), 302-316.

• Masahiro Kimura, Kazumi Saito, and Hiroshi Motoda: Efficient estimation of influence functions for SIS model on social networks, In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), IJCAI (2009), 2046-2051.

• Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda: Finding influential nodes in a social network from information diffusion data, In H. Liu, J. Salerno and M. J. Young (Eds.), Social Computing and Behavioral Modeling, Springer (2009), 139-145.

• Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Growth analysis of neighbor network for evaluation of damage progress, In T. Theeramunkong, B. Kijsirikul, N. Cercone, and T. Ho (Eds.), Advances in Knowledge Discovery and Data Mining (PAKDD 2009), Lecture Notes in Artificial Intelligence, Vol. 5476, Springer (2009), 933-940.

• Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda: What does an information diffusion model tell about social network structure?, In R. Debbie and K. Byeong-Ho (Eds.), Knowledge Acquisition: Approaches, Algorithms and Applications (PKAW 2008), Lecture Notes in Artificial Intelligence, Vol. 5465, Springer (2009), 122-136.

• Masahiro Kimura, Kazumi Saito and Hiroshi Motoda: Solving the contamination minimization problem on networks for the linear threshold model, In T. Ho and Z. Zhou (Eds.), PRICAI 2008: Trends in Artificial Intelligence, Lecture Notes in Artificial Intelligence, Vol. 5351, Springer (2008), 977-984.

• Kazumi Saito, Masahiro Kimura and Hiroshi Motoda: Effective visualization of information diffusion process over complex networks, In W. Daelemans, B. Goethals and K. Morik (Eds.), Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2008), Lecture Notes in Artificial Intelligence, Vol.5212, Springer (2008), 326-341.

• Kazumi Saito, Ryohei Nakano and Masahiro Kimura: Prediction of information diffusion probabilities for independent cascade model, In I. Lovrek, R. J. Howlett and L. C. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems (KES 2008), Lecture Notes in Artificial Intelligence, Vol.5179, Springer (2008), 67-75.

• Masahiro Kimura, Kazumi Saito and Hiroshi Motoda: Minimizing the spread of contamination by blocking links in a network, In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08), AAAI (2008), 1175-1180.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Sequence-based SOM: Visualizing transition of dynamic clusters, In Proceedings of the 8th IEEE International Conference on Computer and Information Technology (CIT 2008), IEEE (2008), 47-52.

• Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito and Hiroshi Motoda: Communiy analysis of influential nodes for information diffusion on a social network, In Proceedings of 2008 International Joint Conference on Neural Networks (IJCNN 2008), IEEE (2008), 1359-1364.

• Masahiro Kimura, Kazumi Saito and Ryohei Nakano: Extracting influential nodes for information diffuision on a social network, In Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-07), AAAI (2007), 1371-1376.

• Kazumi Saito, Ryohei Nakano and Masahiro Kimura: Prediction of link attachments by estimating probabilities of information propagation, In B. Apolloni, R. J. Howlett and L. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007, Lecture Notes in Artificial Intelligence, Vol.4694, Springer (2007), 235-242.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Interpretable likelihood for vector representation topic, In B. Apolloni, R. J. Howlett and L. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007, Lecture Notes in Artificial Intelligence, Vol.4694, Springer (2007), 202-209.

• Masahiro Kimura and Kazumi Saito: Tractable models for information diffusion in social networks, In J. Furnkrantz, T. Scheffer and M. Spilioulou (Eds.), Knowledge Discovery in Databases: PKDD 2006, Lecture Notes in Artificial Intelligence, Vol.4213, Springer (2006), 259-271.

• Masahiro Kimura and Kazumi Saito: Approximate solutions for the influence maximization problem in a social network, In B. Gabrys, R. J. Howlett and L. C. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems (KES 2006), Lecture Notes in Artificial Intelligence, Vol.4252, Springer (2006), 937-944.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Visualization architecture based on SOM for two-lass sequential data, In Knowledge-Based Intelligent Information and Engineering Systems (KES 2006), Lecture Notes in Artificial Intelligence, Vol.4252, Springer (2006), 929-936.

• Kazumi Saito, Naonori Ueda, Masahiro Kimura, Kazuhiro Kazama and Shin-ya Sato: Filtering search engine spam based on anomaly detection approach, In Proceedings of the KDD2005 Workshop on Data Mining Methods for Anomaly Detection, (2005), 62-66.

• Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama and Shin-ya Sato: Detecting search engine spam from a trackback network in blogspace, In R. Khosla, R. J. Howlett and L. C. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems (KES 2005), Lecture Notes in Artificial Intelligence, Vol.3684, Part IV, Springer (2005), 723-729.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Visualizing dynamics of the hot topics using sequence-based self-orgnizing maps, In R. Khosla, R. J. Howlett and L. C. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems (KES 2005), Lecture Notes in Artificial Intelligence, Vol.3684, Part IV, Springer (2005), 745-751.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Multinomial PCA for extracting major latent topics from document streams, In Proceedings of 2005 International Joint Conference on Neural Networks (IJCNN 2005), IEEE (2005), 238-243.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling share dynamics by extracting competition structure, In Proceedings of the 5th International Conference on Complex Systems, InterJournal, 2004, Manuscript Number 835.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling of growing networks with directional attachment and communities, In Proceedings of the 11th European Symposium on Artificial Neural Networks (ESANN 2003), (2003) 15-20.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling share dynamics by extracting competition structure, In Proceedings of the International Conference on Science of Modeling, ISM Report on Research and Education, No.17, (2003), 366-367.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling of growing networks with communities, In Proceedings of 2002 International Workshop on Neural Networks for Signal Processing (NNSP 2002), IEEE (2002), 189-198.

• Masahiro Kimura and Ryohei Nakano: Simplifying fully recurrent neural networks that have learned dynamical systems, In Proceedings of the 3rd International Conference on Computational Intelligence and Neuroscience, JCIS'98 Proceeedings, Vol.II, Association for Intelligent Machinery (1998), 143-146.

• Masahiro Kimura and Ryohei Nakano: Unique representations of dynamical systems produced by recurrent neural networks, In W. Gerstner, A. Germond, M. Hasler and J. D. Nicoud (Eds.), Artificial Neural Networks - ICANN'97, Lecture Notes in Computer Science, Vol.1327, Springer (1997), 403-408.

• Masahiro Kimura and Ryohei Nakano: Learning dynamical systems produced by recurrent neural networks, In C. von der Malsburg, W. von Seelen, J. C. Vorbruggen and B. Sendhoff (Eds.), Artificial Neural Networks - ICANN 96, Lecture Notes in Computer Science, Vol.1112, Springer (1996), 133-138.

• Masahiro Kimura and Ryohei Nakano: Learning dynamical systems from trajectories by continuous time recurrent neural networks, In Proceedings of 1995 International Conference on Neural Networks, IEEE (1995), 2992-2997.

• Masahiro Kimura, Takafumi Saito and Mikio Shinya: Surface deformation with differential geometric structures, In Abstracts of 3rd SIAM Conference on Geometric Design, Arizona, USA, SIAM (1993).

Invited Articles:

• Masahiro Kimura: Growth models of web networks, NTT Technical Review, Vol.3, No.3, (2005), 24-27.

• Masahiro Kimura: The 6th Workshops on Information-Based Induction Sciences (IBIS2003), Bulletin of the Japan Society for Industrial and Applied Mathematics, Vol.14, No.2, (2004), 91-92, in Japanese.

• Masahiro Kimura: Growth models of web networks, NTT Gizyutsu Journal, Vol.16, No.6, (2004), 18-21, in Japanese.

• Masahiro Kimura: The Editor's Notes, Bulletin of the Japan Society for Industrial and Applied Mathematics, Vol.14, No.3, (2004), 85-86, in Japanese.

Invited Talks

• Growth models of web networks based on community structure, The 1st Symposium on Network Ecology and Space Design, Tokyo University of Technology, March 2003.

• Competitive dynamics of web sites, The 2nd Symposium on Network Ecology and Space Design, ATR Human Information Science Laboratories, March 2004.