arnip.org Kazuhiro HISHINUMA, MSc.

Kazuhiro HISHINUMA

Research Fellow of Japan Society for the Promotion of Science,
Doctoral Course Student at Meiji University, Japan.

mailto: kaz@cs.meiji.ac.jp
PGP Fingerprint: AC8F D2ED 9654 45E4 979A D6A9 5606 2602 0A4D 265E

Research Interest

Continuous optimization theory (convex and quasi-convex optimization; distributed optimization), fixed point theory.

Academic & Professional Experience

Apr. 2017-
Research Fellow of Japan Society for the Promotion of Science.

Education

Mar. 2015
BSc, Department of Computer Science, School of Science and Technology, Meiji University.
Mar. 2017
MSc, Computer Science Course, The Fundamental Science and Technology Program, Graduate School of Science and Technology, Meiji University.

Publications in Refereed Journals

  1. S. Iemoto, K. Hishinuma, H. Iiduka: Approximate Solutions to Variational Inequality over the Fixed Point Set of a Strongly Nonexpansive Mapping, Fixed Point Theory and Applications, 2014:51, 2014. [Open Access]
  2. H. Iiduka, K. Hishinuma: Acceleration Method Combining Broadcast and Incremental Distributed Optimization Algorithms, SIAM Journal on Optimization, Vol. 24, Issue 4, pp. 1840-1863, 2014. [DOI, PDF]
  3. K. Hishinuma, H. Iiduka: Parallel Subgradient Method for Nonsmooth Convex Optimization with a Simple Constraint, Linear and Nonlinear Analysis, Vol. 1, No. 1, pp. 67-77, 2015. [Open Access]
  4. K. Hishinuma, H. Iiduka: On Acceleration of the Krasnosel’skiĭ-Mann Fixed Point Algorithm Based on Conjugate Gradient Method for Smooth Optimization, Journal of Nonlinear and Convex Analysis, Vol. 16, No. 11, pp. 2243-2254, 2015. [Open Access]
  5. K. Fujiwara, K. Hishinuma, H. Iiduka: Evaluation of Stochastic Approximation Algorithm and Variants for Learning Support Vector Machines, Linear and Nonlinear Analysis, Vol. 4, No. 1, pp. 29-61, 2018 [Open Access]
  6. K. Hishinuma, H. Iiduka: Incremental and Parallel Machine Learning Algorithms with Automated Learning Rate Adjustments, Frontiers in Robotics and AI: Resolution of Limitations of Deep Learning to Develop New AI Paradigms, Vol. 6, No. 77, pp. 1-14, 2019. [Open Access]
  7. K. Hishinuma, H. Iiduka: Convergence Analysis of Incremental and Parallel Line Search Subgradient Methods in Hilbert Space, Journal of Nonlinear and Convex Analysis: Special Issue-Dedicated to Wataru Takahashi on the occasion of his 75th birth day, Vol. 20, No. 9, pp. 1937-1947, 2019. [Open Access]
  8. K. Hishinuma, H. Iiduka: Fixed Point Quasiconvex Subgradient Method, European Journal of Operational Research, Vol. 282, Issue 2, pp. 428-437, 2020. [DOI]
  9. K. Shimizu, K. Hishinuma, H. Iiduka: Parallel Computing Proximal Method for Nonsmooth Convex Optimization With Fixed Point Constraints of Quasi-nonexpansive Mappings, Applied Set-Valued Analysis and Optimization (to appear).

Proceedings

  1. K. Hishinuma, H. Iiduka: Parallel Computing Method for Nonsmooth Convex Optimization, RIMS Kôkyûroku, No. 1963-11, pp. 71-77, 2015. [CiNii, Open Access]
  2. K. Hishinuma, H. Iiduka: Applying Conditional Subgradient-like Directions to the Modified Krasnosel'skiĭ-Mann Fixed Point Algorithm Based on the Three-term Conjugate Gradient Method, Proceedings of the 10th International Conference on Nonlinear Analysis and Convex Analysis, pp. 59-67, 2019.

Conference Activities & Talks

  1. K. Hishinuma, H. Iiduka: Parallel Algorithm for Nonsmooth Convex Optimization, the International Workshop on Nonlinear Analysis and Convex Analysis, 2014.
  2. K. Hishinuma, H. Iiduka: On Parallel Computing Method for Nonsmooth Convex Optimization, The 2014 Fall National Conference of Operations Research Society of Japan, 2014. (in Japanese)
  3. K. Hishinuma, H. Iiduka: Acceleration approach for parallel subgradient method based on line search, The 2016 Fall National Conference of Operations Research Society of Japan, 2016. (in Japanese)
  4. K. Hishinuma, H. Iiduka: Flexible stepsize selection of subgradient methods for constrained convex optimization, the 10th Anniversary Conference on Nonlinear Analysis and Convex Analysis, 2017.
  5. K. Hishinuma, H. Iiduka: Quasi-subgradient method for quasiconvex minimization problem with fixed point constraints, the RIMS Workshop on Development of Mathematical Optimization: Modeling and Algorithms, 2017. (in Japanese)
  6. K. Hishinuma, H.Iiduka: Iterative method for solving constrained quasiconvex optimization problems based on the Krasnosel'skiĭ-Mann fixed point approximation method, RIMS Workshop on Nonlinear Analysis and Convex Analysis, 2017.
  7. K. Hishinuma, H. Iiduka: Application of incremental and parallel subgradient methods to learning a support vector machine and its advantages and disadvantages, The 2018 Spring National Conference of Operations Research Society of Japan, 2018. (in Japanese)
  8. K. Hishinuma, H. Iiduka: Convergence property, computational performance, and usability of fixed point quasiconvex subgradient method, the 6th Asian Conference on Nonlinear Analysis and Optimization, 2018.
  9. K. Hishinuma, H. Iiduka: Convergence rate analyses of fixed point quasiconvex subgradient method, Joint Conference NACA-ICOTA2019: International Conference on Nonlinear Analysis and Convex Analysis, International Conference on Optimization: Techniques and Applications, 2019.
  10. K. Hishinuma, H. Iiduka: On rate of convergence of fixed point subgradient method, The 2019 Fall National Conference of Operations Research Society of Japan, 2019. (in Japanese)
  11. K. Hishinuma, H. Iiduka: Error evaluation of fixed point quasiconvex subgradient method, The 2020 Spring National Conference of Operations Research Society of Japan, (to appear). (in Japanese)

Rewards and Punishments

Nov. 2019
38th Place, awarded to Coach, ICPC 2019 Asia Yokohama Regional Contest.
Nov. 2015
37th Place, awarded to Contestant, ACM-ICPC Asia Tsukuba Regional Contest 2015.
Jul. 2015
The Award for Nineteenth Place in Domestic Contest 2015 for ACM-ICPC Asia Tsukuba Regional Contest.
Mar. 2015
The Award for a Graduate with Excellent School Records, Meiji University Alumni Association.

Licenses

Dec. 2019
Applied Information Technology Engineer, Information-technology Promotion Agency (IPA), Japan.
Mar. 2017
Specialized Mathematics Teacher's Licenses for High School and Junior High School in Japan.
Mar. 2015
Mathematics and Informatics Teacher's Licenses for High School in Japan.
Mar. 2015
Mathematics Teacher's License for Junior High School in Japan.
May 2013
Fundamental Information Technology Engineer, Information-technology Promotion Agency (IPA), Japan.
Aug. 2006
Amateur Fourth-Class Radio Operator, Kanto Bureau of Telecommunications, Japan.

Voluntary Activities and Competitions

Nov. 2019
ICPC 2019 Asia Yokohama Regional Contest, the coach of the team Integrated Quality
Nov. 2018
The 6th Asian Conference on Nonlinear Analysis and Optimization, Conference Staff.
Jul. 2017
The 10th Anniversary Conference on Nonlinear Analysis and Convex Analysis, Conference Staff.
Nov. 2015
ACM-ICPC Asia Tsukuba Regional Contest 2015, a member of the team Theory of Computing Lab.

Association Memberships

the Operations Research Society of Japan, Information Processing Society of Japan.

Contact

Kazuhiro HISHINUMA,
Mathematical Optimization (Hideaki Iiduka) Lab.,
Department of Computer Science, Meiji University
1-1-1 Higashimita, Tama-ku, Kawasaki-shi, Kanagawa 214-8571 Japan.
(Tel: +81-44-934-7484, Web: https://iiduka.net/en/)

mailto: kaz@cs.meiji.ac.jp