Approximating uniform triangular meshes in polygons. - Franz Aurenhammer; Naoki Katoh; Hiromichi Kojima; Makoto Ohsaki; Yin-Feng Xu (Theor. Comput. Sci., 2002)

Triangulating a Convex Polygon with Small Number of Non-standard Bars. - Yin-Feng Xu; Wenqiang Dai; Naoki Katoh; Makoto Ohsaki (COCOON, 2005)

Contact Analysis of Cable Networks by Using Second-Order Cone Programming. - Yoshihiro Kanno; Makoto Ohsaki (SIAM J. Sci. Comput., 2006)

Enumerating Non-crossing Minimally Rigid Frameworks. - David Avis; Naoki Katoh; Makoto Ohsaki; Ileana Streinu; Shin-ichi Tanigawa (Graphs Comb., 2007)

Triangulating a convex polygon with fewer number of non-standard bars. - Yinfeng Xu; Wenqiang Dai; Naoki Katoh; Makoto Ohsaki (Theor. Comput. Sci., 2007)

Enumerating Constrained Non-crossing Minimally Rigid Frameworks. - David Avis; Naoki Katoh; Makoto Ohsaki; Ileana Streinu; Shin-ichi Tanigawa (Discret. Comput. Geom., 2008)

Hyperspectral imaging using flickerless active LED illumination. - Makoto Ohsaki; Hajime Nagahara; Tetsuo Ikeda; Rin-Ichiro Taniguchi (QCAV, 2017)

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

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)

Geometry and topology optimization of plane frames for compliance minimization using force density method for geometry model. - Wei Shen; Makoto Ohsaki (Eng. Comput., 2021)

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

Real and complexified configuration spaces for spherical 4-bar linkages. - Zeyuan He; Kentaro Hayakawa; Makoto Ohsaki (CoRR, 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)

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

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

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)