| 2025 | AISTATS | Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. | Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka |
| 2025 | IJCNN | Deep Feature Learning for Multi-Omics Clustering Using Supervised Variational Autoencoders with Clinical Information. | Tianyi Shi, Xiucai Ye, Tetsuya Sakurai |
| 2024 | IJCNN | Deciphering the Complex Characterization of Coding LncRNA. | Tianyuan Liu, Xiucai Ye, Tetsuya Sakurai |
| 2024 | IJCNN | CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network. | Zixu Wang, Yangyang Chen, Xiucai Ye, Tetsuya Sakurai |
| 2023 | IJCNN | Common and Unique Features Learning in Multi-view Network Embedding. | Yifan Shang, Xiucai Ye, Tetsuya Sakurai |
| 2022 | CIS | A study of the privacy perspective on principal component analysis via a realistic attack model. | Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai |
| 2022 | GECCO | Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation. | Yifan He, Claus Aranha, Tetsuya Sakurai |
| 2021 | ACML | Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. | Akira Imakura, Xiucai Ye, Tetsuya Sakurai |
| 2021 | GECCO | Dynamic adaptation of decomposition vector set size for MOEA/D. | Yuta Kobayashi, Claus Aranha, Tetsuya Sakurai |
| 2021 | IJCNN | Spectral Clustering Joint Deep Embedding Learning by Autoencoder. | Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai |
| 2020 | CEC | A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design. | Jair Pereira Junior, Claus Aranha, Tetsuya Sakurai |
| 2020 | ICDM | Ensemble Learning for Spectral Clustering. | Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai |
| 2020 | IJCNN | Hubness-based Sampling Method for Nystrm Spectral Clustering. | Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai |
| 2020 | PKAW | Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. | Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka |
| 2020 | PKAW | Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. | Akira Imakura, Xiucai Ye, Tetsuya Sakurai |
| 2019 | AAAI | Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. | Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai |
| 2019 | GECCO | Using diversity as a priority function for resource allocation on MOEA/D. | Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai |
| 2019 | IJCAI | Distributed Collaborative Feature Selection Based on Intermediate Representation. | Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai |
| 2018 | IJCAI | Spectral Feature Scaling Method for Supervised Dimensionality Reduction. | Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai |
| 2018 | SMC | Experimental Analysis of the Tournament Size on Genetic Algorithms. | Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira |
| 2018 | UIC | Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. | Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Zhi Liu |
| 2017 | PPAM | Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. | Akira Imakura, Yasunori Futamura, Tetsuya Sakurai |
| 2017 | SC | Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. | Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono |
| 2016 | ESANN | Spectral clustering and discriminant analysis for unsupervised feature selection. | Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai |
| 2016 | FlAIRS | Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. | Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai |
| 2016 | ICONIP | Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. | Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura |
| 2015 | IJCNN | Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. | Xiucai Ye, Tetsuya Sakurai |
| 2006 | GPC | Performance Improvement by Data Management Layer in a Grid RPC System. | Yoshiaki Aida, Yoshihiro Nakajima, Mitsuhisa Sato, Tetsuya Sakurai, Daisuke Takahashi, Taisuke Boku |
| 1996 | ISSAC | A Methodology of Parsing Mathematical Notation for Mathematical Computation. | Yanjie Zhao, Tetsuya Sakurai, Hiroshi Sugiura, Tatsuo Torii |