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ORCIDKazuki Hayashi
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2020 – today
- 2024
[j13]Chi-tathon Kupwiwat
, Kazuki Hayashi, Makoto Ohsaki:
Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation. Eng. Appl. Artif. Intell. 129: 107594 (2024)- [c8]Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Towards Artwork Explanation in Large-scale Vision Language Models. ACL (Short Papers) 2024: 705-729 - [i5]Shigeki Saito, Kazuki Hayashi, Yusuke Ide, Yusuke Sakai, Kazuma Onishi, Toma Suzuki, Seiji Gobara, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Evaluating Image Review Ability of Vision Language Models. CoRR abs/2402.12121 (2024) - [i4]Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Artwork Explanation in Large-scale Vision Language Models. CoRR abs/2403.00068 (2024) - [i3]Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models. CoRR abs/2409.01584 (2024) - 2023
- [j12]Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki:
Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells. Appl. Intell. 53(17): 19809-19826 (2023) - [j11]Kazuki Hayashi, Yoshiki Jikumaru, Makoto Ohsaki, Takashi Kagaya, Yohei Yokosuka:
Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures. Comput. Aided Geom. Des. 101: 102169 (2023) - [j10]Kazuki Hayashi, Daisuke Tanaka:
Effectiveness of Feature Extraction System for Multimodal Sensor Information Based on VRAE and Its Application to Object Recognition. IEICE Trans. Inf. Syst. 106(5): 833-835 (2023) - [j9]Kazuki Hayashi, Yojiro Mori, Hiroshi Hasegawa:
Cost-effective network capacity upgrade by heterogeneous wavelength division multiplexing density with bandwidth-variable virtual direct links. JOCN 15(9): D23-D32 (2023) - 2022
- [j8]Kazuki Hayashi, Sho Sakaino, Toshiaki Tsuji:
An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications. IEEE Access 10: 32766-32781 (2022) - [j7]Kazuki Hayashi, Makoto Ohsaki:
Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames. Adv. Eng. Informatics 51: 101512 (2022) - [c7]Kazuki Hayashi, Yojiro Mori, Hiroshi Hasegawa:
Efficient Network Capacity Expansion by Differentiated WDM-Density with Bandwidth-Variable Virtual Direct Links. FNWF 2022: 310-313 - [c6]Kazuki Hayashi, Akihito Hiromori, Hirozumi Yamaguchi, Masaki Suzuki, Takeshi Kitahara:
Synthesizing Town-scale Vehicle Mobility from Traffic Surveillance Cameras: A Case Study. PerCom Workshops 2022: 593-598 - [c5]Takashi Imamura, Shigehito Tanahashi, Kazuki Hayashi, Asuka Mano, Tsutomu Abe, Akemi Asatsuma:
Practices of Lifelong Education on Programming to Support STEM Education in Primary Schools. TALE 2022: 665-668 - [i2]Kazuki Hayashi, Sho Sakaino, Toshiaki Tsuji:
An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications. CoRR abs/2203.08619 (2022) - 2021
- [j6]Shaojun Zhu, Makoto Ohsaki, Kazuki Hayashi, Xiaonong Guo:
Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network. Adv. Eng. Softw. 159: 103032 (2021) - [j5]Kazuki Hayashi, Yoshiki Jikumaru, Makoto Ohsaki, Takashi Kagaya, Yohei Yokosuka:
Discrete Gaussian Curvature Flow for Piecewise Constant Gaussian Curvature Surface. Comput. Aided Des. 134: 102992 (2021) - [j4]Kazuki Hayashi, Makoto Ohsaki:
Reinforcement learning for optimum design of a plane frame under static loads. Eng. Comput. 37(3): 1999-2011 (2021) - [j3]Hiroki Watanabe, Kazuki Hayashi, Tomonori Sato, Takao Kondo, Fumio Teraoka:
Management and Network Orchestration for Edge/Fog-based Distributed Data Processing. J. Inf. Process. 29: 640-648 (2021) - [c4]Kazuki Hayashi, Mikio Mori:
Whistle recognition using convolutional neural network. GCCE 2021: 423-424 - [c3]Kazuki Hayashi, Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji:
A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control. ICM 2021: 1-7 - [i1]Kazuki Hayashi, Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji:
A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control. CoRR abs/2103.08879 (2021)
2010 – 2019
- 2019
- [j2]Kazuki Hayashi, Makoto Ohsaki:
FDMopt: Force density method for optimal geometry and topology of trusses. Adv. Eng. Softw. 133: 12-19 (2019) - [c2]Kazuki Hayashi, Hiroki Watanabe, Takao Kondo, Fumio Teraoka:
LiON: A L3 Protocol Agnostic Experimental Network Construction Tool Based on Infrastructure as Code. SDS 2019: 64-71 - 2018
- [j1]Shunsuke Takahashi, Kazuki Kishi, Ryota Hiraga, Kazuki Hayashi, Youhei Mamada, Masahiko Oshige, Shinji Katsura:
A New Method for Immobilization of His-Tagged Proteins with the Application of Low-Frequency AC Electric Field. Sensors 18(3): 784 (2018)
1990 – 1999
- 1997
- [c1]Tetsuya Ogata, Kazuki Hayashi, Ikuo Kitagishi, Shigeki Sugano:
Generation of behavior automaton on neural network. IROS 1997: 608-613
Coauthor Index
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