| 2025 | AISTATS | Stochastic Gradient Descent for Bzier Simplex Representation of Pareto Set in Multi-Objective Optimization. | Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Akiyoshi Sannai, Naoki Hamada |
| 2025 | GECCO | Towards Benchmarking Multi-Objective Optimization Algorithms Based on the Basin Connectivity. | Ryosuke Ota, Likun Liu, Naoki Hamada, Takahiro Yamamoto, Shoichiro Tanaka, Daisuke Sakurai |
| 2024 | GECCO | Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity. | Likun Liu, Ryosuke Ota, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai |
| 2023 | AAAI | GenLive! Generating Rhythm Actions in Love Live! | Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Naoki Hamada, Likun Liu, Taiga Yamamoto, Daisuke Sakurai |
| 2022 | GECCO | A two-phase framework with a bzier simplex-based interpolation method for computationally expensive multi-objective optimization. | Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada |
| 2020 | AAAI | Asymptotic Risk of Bzier Simplex Fitting. | Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada |
| 2019 | AAAI | Bzier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. | Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama |
| 2019 | GECCO | Neural-network assistance to calculate precise eigenvalue for fitness evaluation of real product design. | Yukito Tsunoda, Takahiro Notsu, Yasufumi Sakai, Naoki Hamada, Toshihiko Mori, Teruo Ishihara, Atsuki Inoue |
| 2018 | GECCO | Data-driven analysis of pareto set topology. | Naoki Hamada, Keisuke Goto |
| 2017 | CEC | Knee point analysis of many-objective Pareto fronts based on Reeb graph. | Naoki Hamada, Kazuhisa Chiba |
| 2017 | GECCO | Simple problems: the simplicial gluing structure of pareto sets and pareto fronts. | Naoki Hamada |
| 2015 | ICDM | Population Synthesis via k-Nearest Neighbor Crossover Kernel. | Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi |
| 2011 | CEC | On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. | Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono |
| 2011 | CEC | Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. | Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono |
| 2010 | CEC | Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions. | Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono |
| 2008 | PPSN | Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. | Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono |