Novel virtual fitness evaluation framework for fitness landscape learning evolutionary computation. - Taku Hasegawa; Kaname Matsumura; Kaiki Tsuchie; Naoki Mori; Keinosuke Matsumoto (GECCO (Companion), 2014)

Search dynamics of Fitness Landscape Learning Evolutionary Computation with two types of evolution control. - Taku Hasegawa; Kento Tsukada; Naoki Mori; Keinosuke Matsumoto (CEC, 2015)

Analyzing Exploration Exploitation Trade-off by means of P-I similarity index and Dictyostelium based Genetic Algorithm. - Kazuyuki Inoue; Taku Hasegawa; Naoki Mori; Keinosuke Matsumoto (CEC, 2015)

Adaptive Evolution Control with P-I Similarity Index for Surrogate-assisted Evolutionary Computation. - Taku Hasegawa; Kento Tsukada; Naoki Mori; Keinosuke Matsumoto (GECCO (Companion), 2015)

Adaptive Control of Parameter-less Population Pyramid on the Local Distribution of Inferior Individuals. - Kazuyuki Inoue; Taku Hasegawa; Yuta Araki; Naoki Mori; Keinosuke Matsumoto (GECCO, 2015)

Proceedings in Adaptation, Learning and Optimization. - Saya Fujino; Taku Hasegawa; Miki Ueno; Naoki Mori; Keinosuke Matsumoto (IES, 2016)

Proceedings in Adaptation, Learning and Optimization. - Taku Hasegawa; Yuta Araki; Naoki Mori; Keinosuke Matsumoto (IES, 2016)

Proceedings in Adaptation, Learning and Optimization. - Kento Tsukada; Taku Hasegawa; Naoki Mori; Keinosuke Matsumoto (IES, 2016)

Genetic programming with multi-layered population structure. - Taku Hasegawa; Naoki Mori; Keinosuke Matsumoto (GECCO (Companion), 2017)

Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ES. - Naoki Mori; Taku Hasegawa; Kento Tsukada; Keinosuke Matsumoto (GECCO (Companion), 2017)

Relaxation Method of Convolutional Neural Networks for Natural Language Processing. - Ryo Iwasaki; Taku Hasegawa; Naoki Mori; Keinosuke Matsumoto (DCAI, 2018)

A Study on a Parallelization of Parameter-Less Population Pyramid. - Taku Hasegawa; Tomoharu Nakashima (SCIS&ISIS, 2018)

Genetic Programming with Multi-Layered Population Structure for Software Evolution. - Taku Hasegawa; Naoki Mori; Keinosuke Matsumoto (SoMeT, 2018)

Estimating Optimal Values for Intentional-Value-Substitution Learning. - Takuya Fukushima; Taku Hasegawa; Tomoharu Nakashima (MDAI, 2019)

Optimal Value Estimation of Intentional-Value-Substitution for Learning Regression Models. - Takuya Fukushima; Tomoharu Nakashima; Taku Hasegawa; Vicenç Torra (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Scene-Text Aware Image and Text Retrieval with Dual-Encoder. - Shumpei Miyawaki; Taku Hasegawa; Kyosuke Nishida; Takuma Kato; Jun Suzuki 001 (ACL (student), 2022)

SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. - Ryota Tanaka; Kyosuke Nishida; Kosuke Nishida; Taku Hasegawa; Itsumi Saito; Kuniko Saito (AAAI, 2023)

DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. - Taku Hasegawa; Kyosuke Nishida; Koki Maeda; Kuniko Saito (EMNLP, 2023)

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. - Ryota Tanaka; Taichi Iki; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito; Jun Suzuki 001 (CVPR, 2025)

Wavelet-based Positional Representation for Long Context. - Yui Oka; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito (ICLR, 2025)

Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. - Daiki Chijiwa; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito; Susumu Takeuchi (CoRR, 2025)