| 2017 | SIGGRAPH | Controllable color particles in a 3D crystal projecting multiple dynamic full-color images. | Ryuji Hirayama, Hirotaka Nakayama, Atsushi Shiraki, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito |
| 2016 | SIGGRAPH | 3-D crystal with a curved surface projecting multiple 2-D images. | Ryuji Hirayama, Atsushi Shiraki, Hirotaka Nakayama, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito |
| 2015 | SIGGRAPH | 3-D crystal exhibiting multiple 2-D images with directivity. | Ryuji Hirayama, Hirotaka Nakayama, Atsushi Shiraki, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito |
| 2012 | SMC | Parameter tuning of large scale support vector machines using ensemble learning with applications to imbalanced data sets. | Hirotaka Nakayama, Yeboon Yun, Yuki Uno |
| 2011 | SMC | Evolutionary multi-objective optimization using expected improvement and generalized DEA. | Yeboon Yun, Hirotaka Nakayama, Min Yoon |
| 2010 | IJCNN | Modified Support Vector Regression in outlier detection. | Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun |
| 2009 | SIGGRAPH | Entire topography of lunar surface. | Hirotaka Nakayama |
| 2008 | ICONIP | Practical Approach to Outlier Detection Using Support Vector Regression. | Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun |
| 2008 | KES | Modeling of the Students Scenario on a Learning Course. | Yuji Shinoda, Kenji Yoshida, Hirotaka Nakayama |
| 2008 | KES | A Prototype for Human-Like e-Learning System. | Kenji Yoshida, Yuji Shinoda, Koji Miyazaki, Kayoko Nakagami, Hirotaka Nakayama |
| 2007 | EMO | Aspiration Level Methods in Interactive Multi-objective Programming and Their Engineering Applications (Abstract of Invited Talk). | Hirotaka Nakayama |
| 2007 | EMO | Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach. | Yeboon Yun, Hirotaka Nakayama, Min Yoon |
| 2006 | IJCNN | Support Vector Regression Based on Goal Programming and Multi-objective Programming. | Hirotaka Nakayama, Yeboon Yun |
| 2005 | ICNC | Genetic Algorithm for Multi-objective Optimization Using GDEA. | Yeboon Yun, Min Yoon, Hirotaka Nakayama |
| 2004 | CEC | Fitness evaluation using generalized data envelopment analysis in MOGA. | Yeboon Yun, Masao Arakawa, Hirotaka Nakayama |
| 2004 | IJCNN | Using support vector machines in multi-objective optimization. | Yeboon Yun, Hirotaka Nakayama, Masao Arakawa |
| 2004 | KES | Prediction of Business Failure by Total Margin Support Vector Machines. | Yeboon Yun, Min Yoon, Hirotaka Nakayama, Wataru Shiraki |
| 2003 | IJCNN | Using support vector machines in optimization for black-box objective functions. | Hirotaka Nakayama, Masao Arakawa, Koji Washino |
| 2003 | IJCNN | A role of total margin in support vector machines. | Min Yoon, Yeboon Yun, Hirotaka Nakayama |
| 2003 | KES | Incremental Learning and Forgetting in RBF Networks and SVMs with Applications to Financial Problems. | Hirotaka Nakayama, Atsushi Hattori |
| 2003 | KES | Goal Programming Approaches to Support Vector Machines. | Hirotaka Nakayama, Yeboon Yun, Takeshi Asada, Min Yoon |
| 2001 | ICANN | A Computational Intelligence Approach to Optimization with Unknown Objective Functions. | Hirotaka Nakayama, Masao Arakawa, Rie Sasaki |
| 2000 | IJCNN | Active Forgetting in Machine Learning and its Application to Financial Problems. | Hirotaka Nakayama, Kengo Yoshii |
| 1998 | ICONIP | Facial Expression Synthesis by Caricature. | Koji Miyazaki, Hirotaka Nakayama |