About

Profile

• Name: Hiroki Shibata, 柴田 祐樹
• Birth: 1991
• Major: Computer Science，Physics
  • Data Mining, Recommendation, Artificial Intelligence, Machine Learning, Optimization, Computational Fluid Dynamics
• Fingerprint of OpenGPG public key: here
• Contact: here
• Affiliation: Takama laboratory, Department of Computer Science, Tokyo Metropolitan University
• Rank: Assistant Professor
• What I want to say: let's own your personal server and domain.
• Computational environment: please see here
• Links:
  • Department of Computer Science, Tokyo Metropolitan University, profile
  • Graduate School of System Design, Tokyo Metropolitan University
  • Takama Laboratory, members
  • Tagawa Laboratory
  • The Japanese Society for Artificial Intelligence
  • Journal of Advanced Computational Intelligence and Intelligent Informatics: editorial member
• Note: I cannot accept abroad student because I do not have my own laboratory currently.

Career

• Graduated from Department of Aerospace Engineering in Tokyo Metropolitan University, April, 2010.
• Master degree from Graduate School of System Design, Major in Aerospace Engineering, Tokyo Metropolitan University, March, 2014.
• Doctoral degree from Graduate School of System Design, Major in Communication and Computer Science, Tokyo Metropolitan University, March, 2019.
• Assistant Professor at Graduate School of System Design, Department of Computer Science, Tokyo Metropolitan University from April, 2019.

Publications International

1. H. Shibata,　K. Ebine, Y. Takama, “ Method to Control Embedded Representation of Piece of Music in Playlists, " List of errata, IWACIII'23
2. H. Shibata, Y. Takama, “ Proposal of consistent learning model with Exchange Monte Carlo, " TAAI 2022
3. S. Shimizu, S. Sakayauchi, H. Shibata, Y. Takama, “Proposal of Dynamic Generation of Subordinate Clusters Based on Bayesian Information Criterion for Must-Link Constrained K-Means," ISCIIA, 2022
4. S. Saini, H. Shibata, Y. Takama, “Toward Construction of Handwritten Indus Signs Dataset," ISCIIA, 2022
5. K. Moriyoshi, H. Shibata, Y. Takama, “Proposal of Generation of Rating Matrix Based on Rational Behaviors of Users," ISCIIA, 2022
6. K. Nihira, H. Shibata, Y. Takama, “Proposal of Personal Value-Based User Modeling Without Attribute Evaluation," ISCIIA, 2022
7. Y. Takama, M. Xu, H. Shibata, “Consideration of Strategy for Selecting Probing Items in Interactive Recommendation," ISCIIA, 2022
8. R. Takami, H. Shibata, Y. Takama, “A Visual Analytics Interface for Formulating Evaluation Metrics of Multi-dimensional Time-series Data," IEEE Access, Vol. 9, pp. 102783-102800, 10.1109/ACCESS.2021.3098621, 2021.
9. Yohei Anzai, Toshio Tagawa , Hiroki Shibata: Numerical Simulation of Solid-Gas-Liquid Multiphase Flow on GPU, International Journal of Microgravity Science and Application, Vol. 39, No. 1, pp. 390102-
10. Y. Takama, T. Tezuka, H. Shibata, L. Chen, “Estimation of Search Intents from Query to Context Search Engine," JACIII, Vol. 24, No. 3, pp. 316-325, 2020.
11. C. Sun, H. Shibata, L. Chen, Y. Takama, “Proposal of Traveling Route Recommendation System Considering User Experience," JSAI2020, 3Rin4-16, 2020.
12. Y. Takama, H. Shibata, and Y. Shiraishi, “Matrix-Based Collaborative Filtering Employing Personal Values-Based Modeling and Model Relationship Learning," International Conference on Technologies and Applications of Artificial Intelligence, 2020.
13. H. Shibata, L. H. Chen, Y. Takama, “Application of Exchanging Monte Carlo Method to Sample Deep Boltzmann Machines ," International Conference on Technologies and Applications of Artificial Intelligence, 2020.
14. H. Shibata, H. Sato, L. H. Chen, Y. Takama, “Introduction of Boolean Operation into Context Search Engine," International Symposium on Community-centric Systems, 2020.
15. H. Shibata, Y. Takama, “Improvements on Probability Model for Sightseeing Route Recommendation Method Employing Generalized Formulation in terms of Edges," International Conference on Technologies and Applications of Artificial Intelligence, 2019.
16. H. Shibata, Y. Takama, “Index-based Notation for Random Variable and Probability Space,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 23, No. 4, 2019.
17. H. Shibata, H. Ishikawa, Y. Takama, “Crystalizing Effect of Simulated Annealing on Boltzmann Machine,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 23, No. 3, 2019. (Best paper award 2020)
18. H. Shibata, Y. Takama, “Consideration on Crystalizing Simulated Annealing for Boltzmann Machine,” Proceedings of the 10th International Conference on Management of Digital EcoSystems, pp. 87-93, 2018.
19. H. Shibata, Y. Takama, “Behavior Analysis of RBM for Estimating Latent Factor Vector from Rating Matrix,” Proceedings of the 6th International Conference on Informatics, Electronics &Vision & 7th International Symposium in Computational Medical and Health Technology, No. 15, 2017 (One of the 4 best paper award finalists).
20. Y. Anzai, H. Shibata, T. Tagawa, “Computation of Isothermal Multi-Phase Flows Including Moving Solid Objects,” ASCHT, 2015.

Publications in Japan

1. 銭，柴田，高間，“Proposal of Timestamp-based Dynamic Contextual Features for Music Recommender Systems," 第38回 ファジィ システム シンポジウム 2022
2. 野崎，柴田，高間，特定アイテムへのフィードバックを重視した協調フィルタリング手法の提案, 第38回 ファジィ システム シンポジウム 2022
3. H. Shibata, Y. Takama, “Proposal and Discussion on Adaptive Exchange Monte Carlo Method," 第38回 ファジィ システム シンポジウム 2022
4. 高間，徐，柴田， 逐次推薦状況におけるプロービングアイテム決定戦略に関する検討，2021.
5. 柴田，高間: インタラクティブ観光経路推薦手法の構築に対する検討，2021, SIGAM，研究会優秀賞.
6. 高間，坂元，柴田，小林，橋本，レビューからの感情情報抽出に基づくエリアの印象推定，電子情報通信学会論文誌D，Vol. J103-D, No. 5, pp. 373-381, 2020.
7. 高間，田中，柴田，多次元データクラスタ分析のためのTreeMapに基づく可視化インタフェースの提案，JSAI2020，3K1-OS-5a-04, 2020.6.
8. 坂谷内駿，柴田祐樹，高間康史，Must-Link制約付きK-meansにおける情報量規準に基づく従属クラスタ動的生成機構の提案，第26回SIGAM，2020.
9. 小林賢治，柴田祐樹，高間康史，GDMに基づくインタラクティブトピックモデリングの提案，第25回SIGAM，2020.
10. 柴田祐樹, 高間康史, 辺ベクトルを用いた経路推薦問題の解法における目的関数の改善に関する提案，第21回インタラクティブ情報アクセスと可視化マイニング研究会, 2019. (研究会奨励賞)
11. 柴田祐樹，高間康史，辺ベクトルを用いた観光経路推薦問題の定式化と焼きなまし法による解法の提案，知能と情報，Vol. 31, No. 1, 2019. (2020年度論文賞)
12. 柴田祐樹，高間康史，辺ベクトルを用いた定式化による経路推薦手法の提案，第32回人工知能学会全国大会，IE2-02, 2018.
13. 柴田祐樹，高間康史，スポット推薦を伴う経路推薦手法の提案，第18回 SIGAM 研究会，SIG-AM-18-07, 2018．
14. 柴田祐樹，高間康史，評価値行列からの潜在因子推定における制限ボルツマンマシンの挙動解析，第10回WI2研究会，WI2-2017-2, pp. 7-12, 2017．
15. 柴田祐樹，安西洋平，田川 俊夫， 移動物体を伴う気液二相流の三次元数値計算， 日本混相流学会 混相流シンポジウム, 2016.