Kazuhiro HISHINUMA

Doctor of Science (DSc) (Meiji University).
mailto: kazuhiro@shikon.meiji.ac.jp

My profile in Japanese.

Academic & Professional Experience

Apr. 2017-Mar. 2020: Research Fellow of Japan Society for the Promotion of Science.
Apr. 2020-Mar. 2023: Working at a private enterprise.
Apr. 2023-: Assistant Manager at a private enterprise.

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.
Mar. 2020: DSc, Computer Science Course, Graduate School of Science and Technology, Meiji University.

Publications in Refereed Journals

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]
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]
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]
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]
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]
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]
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]
K. Hishinuma, H. Iiduka: Fixed Point Quasiconvex Subgradient Method, European Journal of Operational Research, Vol. 282, Issue 2, pp. 428-437, 2020. [DOI]
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, Vol. 2, Issue 1, pp. 1-17, 2020. [Open Access]
K. Hishinuma, H. Iiduka: Efficiency of Inexact Fixed Point Quasiconvex Subgradient Method, Linear and Nonlinear Analysis, Vol. 6, No. 1, pp. 35-48, 2020 [Open Access]
K. Hishinuma, H. Iiduka: Evaluation of Fixed Point Quasiconvex Subgradient Method with Computational Inexactness, Pure and Applied Functional Analysis: Special Issue on Optimization Theory dedicated to Terry Rockafellar on the occasion of his 85th birthday, Vol. 6, No. 6, pp. 1303-316, 2021. [Open Access]

Proceedings

K. Hishinuma, H. Iiduka: Parallel Computing Method for Nonsmooth Convex Optimization, RIMS Kôkyûroku, No. 1963-11, pp. 71-77, 2015. [CiNii, Open Access]
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

K. Hishinuma, H. Iiduka: Parallel Algorithm for Nonsmooth Convex Optimization, the International Workshop on Nonlinear Analysis and Convex Analysis, 2014.
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)
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)
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.
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)
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.
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)
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.
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.
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)
K. Hishinuma, H. Iiduka: Error evaluation of fixed point quasiconvex subgradient method, The 2020 Spring National Conference of Operations Research Society of Japan, 2020. (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 and Certifications

Dec. 2023: Database Specialist, Information-technology Promotion Agency (IPA), Japan.
Jul. 2023: Business Management Certification Test, the Tokyo Chamber of Commerce and Industry, Japan.
May 2023: Book-Keeping Test (2nd class), Nissho, Japan.
Jan. 2023: Book-Keeping Test (3rd class), Nissho, Japan.
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.
Aug. 2019: Joint Conference NACA-ICOTA2019: International Conference on Nonlinear Analysis and Convex Analysis, International Conference on Optimization: Techniques and Applications, Conference Staff.
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.

Contact

mailto: kazuhiro@shikon.meiji.ac.jp