| 2026 | EvoCOP | Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient. | Yutaro Yamada, Kento Uchida, Shinichi Shirakawa |
| 2026 | GECCO | Hierarchical Evolution Strategy for Optimization of Sharp Ridge. | Sota Hamada, Yutaro Yamada, Kento Uchida, Shinichi Shirakawa |
| 2026 | GECCO | Convergence Analysis of Evolution Strategies for Mixed-Integer Optimization. | Ryoki Hamano, Kento Uchida, Shinichi Shirakawa |
| 2026 | GECCO | Evaluation of Element-wise Effectiveness Estimation for Augmented Lagrangian CMA-ES. | Haruhito Nakagawa, Kento Uchida, Shinichi Shirakawa |
| 2026 | GECCO | Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shinichi Shirakawa |
| 2026 | ICPR | Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning. | Kei Hiroshima, Kento Uchida, Shinichi Shirakawa |
| 2025 | ACL | Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers. | Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, Shinichi Shirakawa |
| 2025 | GECCO | CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. | Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa |
| 2025 | GECCO | Elitist Evolutionary Algorithm for Optimization on Sets of Points. | Takumi Matsuo, Kento Uchida, Shinichi Shirakawa |
| 2025 | GECCO | Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality. | Haruhito Nakagawa, Yutaro Yamada, Kento Uchida, Shinichi Shirakawa |
| 2025 | GECCO | Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality. | Yuta Sekino, Yohei Watanabe, Kento Uchida, Shinichi Shirakawa |
| 2025 | GECCO | Search Space Selection Using Constrained Mixed-Integer Optimization Method. | Kento Uchida, Yohei Watanabe, Ryoki Hamano, Shinichi Shirakawa |
| 2025 | IECON | Uncertainty-Aware Self-Localization for Bulldozers Using Machine Learning with Internal Sensor Data. | Hikaru Sawafuji, Ryota Ozaki, Takuto Motomura, Toyohisa Matsuda, Masanori Tojima, Kento Uchida, Shinichi Shirakawa |
| 2025 | PRICAI | Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift. | Keisuke Sugawara, Kento Uchida, Shinichi Shirakawa |
| 2025 | PRICAI | OnDeFog: Online Decision Transformer Under Frame Dropping. | Daiki Yotsufuji, Kenta Nishihara, Shoma Shimizu, Kento Uchida, Shinichi Shirakawa |
| 2024 | GECCO | CatCMA : Stochastic Optimization for Mixed-Category Problems. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa |
| 2024 | GECCO | CMA-ES for Safe Optimization. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa |
| 2024 | GECCO | CMA-ES with Adaptive Reevaluation for Multiplicative Noise. | Kento Uchida, Kenta Nishihara, Shinichi Shirakawa |
| 2024 | GECCO | How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. | Yutaro Yamada, Kento Uchida, Shinichi Shirakawa |
| 2024 | GLOBECOM | Enhancing Latency-Accuracy Tradeoff in Dynamic Split Inference via Vector Quantized Bottleneck. | Yen-Hsiu Chen, Yoichi Hirose, Shoma Shimizu, Shota Saito, Kento Uchida, Shinichi Shirakawa, Takayuki Nishio |
| 2024 | IJCNN | Analysis of Search Space Design for Neural Architecture Search with Weight Sharing. | Youhei Akimoto, Shinichi Shirakawa |
| 2024 | IJCNN | Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization. | Masashi Noguchi, Shinichi Shirakawa |
| 2024 | PAKDD | Neural Additive and Basis Models with Feature Selection and Interactions. | Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda, Shinichi Shirakawa |
| 2024 | PPSN | Natural Gradient Interpretation of Rank-One Update in CMA-ES. | Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura |
| 2024 | PPSN | Warm Starting of CMA-ES for Contextual Optimization Problems. | Yuta Sekino, Kento Uchida, Shinichi Shirakawa |
| 2024 | PPSN | CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa |
| 2024 | SMC | BINN-DT: Towards Better Interpretability of Multidimensional Decision Rules via Bivariate Nonlinear Node Decision Trees. | Satoshi Arai, Shinichi Shirakawa, Tomoharu Nagao |
| 2023 | GECCO | (1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. | Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2022 | GECCO | Reduction of genetic drift in population-based incremental learning via entropy regularization. | Ryoki Hamano, Shinichi Shirakawa |
| 2022 | GECCO | CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2022 | GECCO | Benchmarking CMA-ES with margin on the bbob-mixint testbed. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 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 |
| 2022 | GLOBECOM | Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. | Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa |
| 2022 | ICAART | Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance. | Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao |
| 2022 | ICANN | Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. | Yuhei Noda, Shota Saito, Shinichi Shirakawa |
| 2021 | ACML | NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters. | Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa |
| 2021 | SMC | Non-strict Attentional Region Annotation to Improve Image Classification Accuracy. | Satoshi Arai, Shinichi Shirakawa, Tomoharu Nagao |
| 2020 | CGI | Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment. | Wataru Shibayama, Shinichi Shirakawa |
| 2020 | PPSN | Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. | Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa |
| 2019 | ICANN | Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. | Shota Saito, Shinichi Shirakawa |
| 2019 | ICML | Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. | Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida |
| 2019 | ISVC | Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization. | Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa |
| 2018 | AAAI | Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. | Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto |
| 2018 | GECCO | Embedded feature selection using probabilistic model-based optimization. | Shota Saito, Shinichi Shirakawa, Youhei Akimoto |
| 2018 | GECCO | Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. | Kento Uchida, Shinichi Shirakawa, Youhei Akimoto |
| 2018 | IJCAI | A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. | Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao |
| 2018 | IVA | Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network. | Dai Hasegawa, Naoshi Kaneko, Shinichi Shirakawa, Hiroshi Sakuta, Kazuhiko Sumi |
| 2017 | GECCO | A genetic programming approach to designing convolutional neural network architectures. | Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao |
| 2017 | HAI | Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM. | Kenta Takeuchi, Dai Hasegawa, Shinichi Shirakawa, Naoshi Kaneko, Hiroshi Sakuta, Kazuhiko Sumi |
| 2016 | CEC | Impact of invariant objective for order preserving transformation in Bayesian optimization. | Shinichi Shirakawa |
| 2016 | SMC | Hierarchical feature construction for image classification using Genetic Programming. | Masanori Suganuma, Daiki Tsuchiya, Shinichi Shirakawa, Tomoharu Nagao |
| 2015 | GECCO | Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. | Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara |
| 2015 | HCI | The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent. | Dai Hasegawa, Shinichi Shirakawa, Naoya Shioiri, Toshiki Hanawa, Hiroshi Sakuta, Kouzou Ohara |
| 2014 | ICPR | Fast Similarity Search Using Multiple Binary Codes. | Shinichi Shirakawa |
| 2014 | PPSN | Natural Gradient Approach for Linearly Constrained Continuous Optimization. | Youhei Akimoto, Shinichi Shirakawa |
| 2010 | CEC | Automatic construction of image transformation algorithms using feature based genetic image network. | Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao |
| 2010 | CEC | Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming. | Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao |
| 2010 | EUROGP | Ensemble Image Classification Method Based on Genetic Image Network. | Shiro Nakayama, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao |
| 2009 | CEC | Evolutionary image segmentation based on multiobjective clustering. | Shinichi Shirakawa, Tomoharu Nagao |
| 2009 | EUROGP | Evolution of Search Algorithms Using Graph Structured Program Evolution. | Shinichi Shirakawa, Tomoharu Nagao |
| 2009 | GECCO | Graph structured program evolution with automatically defined nodes. | Shinichi Shirakawa, Tomoharu Nagao |
| 2008 | GECCO | Evolutionary algorithm considering program size: efficient program evolution using grape. | Shinichi Shirakawa, Tomoharu Nagao |
| 2007 | GECCO | Graph structured program evolution. | Shinichi Shirakawa, Shintaro Ogino, Tomoharu Nagao |
| 2007 | ISVC | Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm. | Shinichi Shirakawa, Tomoharu Nagao |
| 2007 | SMC | Evolution of sorting algorithm using graph structured program evolution. | Shinichi Shirakawa, Tomoharu Nagao |