Generation of behavior automaton on neural network. - Tetsuya Ogata; Kazuki Hayashi; Ikuo Kitagishi; Shigeki Sugano (IROS, 1997)

A New Method for Immobilization of His-Tagged Proteins with the Application of Low-Frequency AC Electric Field. - Shunsuke Takahashi; Kazuki Kishi; Ryota Hiraga; Kazuki Hayashi; Youhei Mamada; Masahiko Oshige; Shinji Katsura (Sensors, 2018)

LiON: A L3 Protocol Agnostic Experimental Network Construction Tool Based on Infrastructure as Code. - Kazuki Hayashi; Hiroki Watanabe; Takao Kondo; Fumio Teraoka (SDS, 2019)

FDMopt: Force density method for optimal geometry and topology of trusses. - Kazuki Hayashi; Makoto Ohsaki (Adv. Eng. Softw., 2019)

Whistle recognition using convolutional neural network. - Kazuki Hayashi; Mikio Mori (GCCE, 2021)

A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control. - Kazuki Hayashi; Ayumu Sasagawa; Sho Sakaino; Toshiaki Tsuji (ICM, 2021)

Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network. - Shaojun Zhu; Makoto Ohsaki; Kazuki Hayashi; Xiaonong Guo (Adv. Eng. Softw., 2021)

Discrete Gaussian Curvature Flow for Piecewise Constant Gaussian Curvature Surface. - Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka (Comput. Aided Des., 2021)

Reinforcement learning for optimum design of a plane frame under static loads. - Kazuki Hayashi; Makoto Ohsaki (Eng. Comput., 2021)

Management and Network Orchestration for Edge/Fog-based Distributed Data Processing. - Hiroki Watanabe; Kazuki Hayashi; Tomonori Sato; Takao Kondo; Fumio Teraoka (J. Inf. Process., 2021)

Efficient Network Capacity Expansion by Differentiated WDM-Density with Bandwidth-Variable Virtual Direct Links. - Kazuki Hayashi; Yojiro Mori; Hiroshi Hasegawa (FNWF, 2022)

Synthesizing Town-scale Vehicle Mobility from Traffic Surveillance Cameras: A Case Study. - Kazuki Hayashi; Akihito Hiromori; Hirozumi Yamaguchi; Masaki Suzuki; Takeshi Kitahara (PerCom Workshops, 2022)

Practices of Lifelong Education on Programming to Support STEM Education in Primary Schools. - Takashi Imamura; Shigehito Tanahashi; Kazuki Hayashi; Asuka Mano; Tsutomu Abe; Akemi Asatsuma (TALE, 2022)

An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications. - Kazuki Hayashi; Sho Sakaino; Toshiaki Tsuji (IEEE Access, 2022)

Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames. - Kazuki Hayashi; Makoto Ohsaki (Adv. Eng. Informatics, 2022)

Cost-effective network capacity upgrade by heterogeneous wavelength division multiplexing density with bandwidth-variable virtual direct links. - Kazuki Hayashi; Yojiro Mori; Hiroshi Hasegawa (JOCN, 2023)

Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures. - Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka (Comput. Aided Geom. Des., 2023)

Effectiveness of Feature Extraction System for Multimodal Sensor Information Based on VRAE and Its Application to Object Recognition. - Kazuki Hayashi; Daisuke Tanaka (IEICE Trans. Inf. Syst., 2023)

Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells. - Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki (Appl. Intell., 2023)

Towards Artwork Explanation in Large-scale Vision Language Models. - Kazuki Hayashi; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (ACL (Short Papers), 2024)

Evaluating Image Review Ability of Vision Language Models. - Shigeki Saito; Kazuki Hayashi; Yusuke Ide; Yusuke Sakai 010; Kazuma Onishi; Toma Suzuki; Seiji Gobara; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (CoRR, 2024)

Artwork Explanation in Large-scale Vision Language Models. - Kazuki Hayashi; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (CoRR, 2024)

BQA: Body Language Question Answering Dataset for Video Large Language Models. - Shintaro Ozaki; Kazuki Hayashi; Miyu Oba; Yusuke Sakai 010; Hidetaka Kamigaito; Taro Watanabe (CoRR, 2024)

Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity. - Tomoya Matsuoka; Makoto Ohsaki; Kazuki Hayashi (CoRR, 2024)

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain. - Shintaro Ozaki; Yuta Kato; Siyuan Feng; Masayo Tomita; Kazuki Hayashi; Ryoma Obara; Masafumi Oyamada; Katsuhiko Hayashi 001; Hidetaka Kamigaito; Taro Watanabe (CoRR, 2024)

Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation. - Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki (Eng. Appl. Artif. Intell., 2024)

IRR: Image Review Ranking Framework for Evaluating Vision-Language Models. - Kazuki Hayashi; Kazuma Onishi; Toma Suzuki; Yusuke Ide; Seiji Gobara; Shigeki Saito; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (COLING, 2025)

Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models. - Shintaro Ozaki; Kazuki Hayashi; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (NAACL (Findings), 2025)

Reliability of Distribution Predictions by LLMs: Insights from Counterintuitive Pseudo-Distributions. - Toma Suzuki; Ayuki Katayama; Seiji Gobara; Ryo Tsujimoto; Hibiki Nakatani; Kazuki Hayashi; Yusuke Sakai 010; Hidetaka Kamigaito; Taro Watanabe (NAACL (Student Research Workshop), 2025)

Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame. - Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki (Eng. Appl. Artif. Intell., 2025)

TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation. - Shintaro Ozaki; Kazuki Hayashi; Yusuke Sakai 010; Jingun Kwon; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Manabu Okumura; Taro Watanabe (CoRR, 2025)

IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation. - Kazuki Hayashi; Hidetaka Kamigaito; Shinya Kouda; Taro Watanabe (CoRR, 2025)

Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies. - Kazuki Hayashi; Shintaro Ozaki; Yusuke Sakai 010; Hidetaka Kamigaito; Taro Watanabe (CoRR, 2025)