| 2026 | ICAART | BiScaleFormer: Modeling Trend and Seasonality with Multi-Scale Attention for Time Series Forecasting. | Kexin Peng, Hitoshi Iima |
| 2026 | ICORES | Rubber Belt Production Scheduling by Stochastic Search Leveraging Problem-Specific Characteristics. | Shunsei Kimura, Hitoshi Iima, Masaki Fujinami, Kazuki Toyomura |
| 2025 | SMC | A Well-being Oriented Integer Optimization Approach to Parallel Machine Scheduling with Flexible Working Hours. | Takanobu Yaguchi, Hirokazu Kaieda, Atsuko Nakai, Hitoshi Iima |
| 2024 | ICAART | CT to MRI Image Translation Using CycleGAN: A Deep Learning Approach for Cross-Modality Medical Imaging. | Anamika Jha, Hitoshi Iima |
| 2023 | ICMLA | Accelerated Text Data Augmentation Using a Paraphrase Generation Model with Round-Trip Translation as a Supervisor. | Shintaro Tanaka, Hitoshi Iima |
| 2020 | IJCNN | Four Models of Hopfield-Type Octonion Neural Networks and Their Existing Conditions of Energy Functions. | Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda |
| 2019 | IJCCI | Learning Method of Recurrent Spiking Neural Networks to Realize Various Firing Patterns using Particle Swarm Optimization. | Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda |
| 2019 | ICTAI | Differential Evolution Using Linkage Identification. | Hitoshi Iima, Keijiro Yokoyama |
| 2019 | ICTAI | Real-Coded Genetic Algorithm Realizing Fast Convergence by Reducing Its Population Size. | Kazuki Nishisaka, Hitoshi Iima |
| 2018 | SMC | Nonlinear Optimization Method Based on Stochastic Gradient Descent for Fast Convergence. | Takahiro Watanabe, Hitoshi Iima |
| 2016 | IJCNN | A model of Hopfield-type octonion neural networks and existing conditions of energy functions. | Yasuaki Kuroe, Hitoshi Iima |
| 2015 | CEC | Swarm reinforcement learning methods improving certainty of learning for a multi-robot formation problem. | Hitoshi Iima, Yasuaki Kuroe |
| 2015 | SMC | Genetic Algorithms for Student Grouping Problems. | Hitoshi Iima, Kazuhiro Shin-ike |
| 2014 | SMC | Multi-objective reinforcement learning for acquiring all Pareto optimal policies simultaneously - Method of determining scalarization weights. | Hitoshi Iima, Yasuaki Kuroe |
| 2013 | SMC | Swarm Reinforcement Learning Method for a Multi-robot Formation Problem. | Hitoshi Iima, Yasuaki Kuroe |
| 2012 | ICCE | A Method for Determining Classroom Seating Arrangements by Using a Genetic Algorithm. | Kazuhiro Shin-ike, Hitoshi Iima |
| 2012 | SMC | Multi-objective reinforcement learning method for acquiring all pareto optimal policies simultaneously. | Yusuke Mukai, Yasuaki Kuroe, Hitoshi Iima |
| 2011 | ICONIP | Models of Hopfield-Type Clifford Neural Networks and Their Energy Functions - Hyperbolic and Dual Valued Networks -. | Yasuaki Kuroe, Shinpei Tanigawa, Hitoshi Iima |
| 2011 | SMC | Swarm reinforcement learning methods for problems with continuous state-action space. | Hitoshi Iima, Yasuaki Kuroe, Kazuo Emoto |
| 2010 | SMC | Swarm reinforcement learning method based on ant colony optimization. | Hitoshi Iima, Yasuaki Kuroe, Shoko Matsuda |
| 2009 | ICONIP | Swarm Reinforcement Learning Algorithm Based on Particle Swarm Optimization Whose Personal Bests Have Lifespans. | Hitoshi Iima, Yasuaki Kuroe |
| 2009 | ISADS | A method for Development of collaborative learning by using a neural network and a genetic algorithm. | Kazuhiro Shin-ike, Hitoshi Iima |
| 2008 | SMC | Swarm reinforcement learning algorithms based on particle swarm optimization. | Hitoshi Iima, Yasuaki Kuroe |
| 2006 | IJCNN | A Learning Method for Synthesizing Spiking Neural Oscillators. | Yasuaki Kuroe, Hitoshi Iima |
| 2005 | EMO | Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem. | Hitoshi Iima |
| 2003 | CEC | A new design of genetic algorithm for bin packing. | Hitoshi Iima, T. Yakawa |
| 1999 | ISADS | Autonomous Decentralized Scheduling Algorithm for a Job-Shop Scheduling Problem with Complicated Constraints. | Hitoshi Iima, Tetsuya Hara, Norihisa Ichimi, Nobuo Sannomiya |
| 1997 | ISADS | An autonomous decentralized scheduling algorithm for a job shop process with a multi-function machine in parallel. | Hitoshi Iima, Ryoichi Kudo, Nobuo Sannomiya, Yasunori Kobayashi |
| 1996 | ICEC | Application of Genetic Algorithm to Scheduling Problems in Manufacturing Processes. | Nobuo Sannomiya, Hitoshi Iima |