| 2026 | AAAI | FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters. | Hiro Ishii, Kenta Niwa, Hiroshi Sawada, Akinori Fujino, Noboru Harada, Rio Yokota |
| 2025 | ICML | Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions. | Yuya Hikima, Hiroshi Sawada, Akinori Fujino |
| 2025 | ICML | K2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes. | Hideaki Kim, Tomoharu Iwata, Akinori Fujino |
| 2024 | GLOBECOM | Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels. | Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya |
| 2021 | AISTATS | Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. | Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima |
| 2021 | AusDM | Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs. | Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya |
| 2021 | ICML | Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction. | Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino |
| 2020 | AAAI | Semi-Supervised Learning for Maximizing the Partial AUC. | Tomoharu Iwata, Akinori Fujino, Naonori Ueda |
| 2018 | IJCAI | Causal Inference in Time Series via Supervised Learning. | Yoichi Chikahara, Akinori Fujino |
| 2016 | CCS | POSTER: Toward Automating the Generation of Malware Analysis Reports Using the Sandbox Logs. | Bo Sun, Akinori Fujino, Tatsuya Mori |
| 2016 | ICDM | A Semi-Supervised AUC Optimization Method with Generative Models. | Akinori Fujino, Naonori Ueda |
| 2016 | ICML | Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. | Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda |
| 2014 | ICPR | Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. | Mathieu Blondel, Akinori Fujino, Naonori Ueda |
| 2013 | IJCAI | Statistical Parsing with Probabilistic Symbol-Refined Tree Substitution Grammars. | Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, Masaaki Nagata |
| 2012 | ACL | Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing. | Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, Masaaki Nagata |
| 2011 | ACL | Is Machine Translation Ripe for Cross-Lingual Sentiment Classification? | Kevin Duh, Akinori Fujino, Masaaki Nagata |
| 2011 | ACL | Insertion Operator for Bayesian Tree Substitution Grammars. | Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata |
| 2011 | IJCNLP | Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method. | Sanae Fujita, Akinori Fujino |
| 2010 | ACL | Word Alignment with Synonym Regularization. | Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata |
| 2010 | CIKM | A robust semi-supervised classification method for transfer learning. | Akinori Fujino, Naonori Ueda, Masaaki Nagata |
| 2008 | IJCNLP | Multi-label Text Categorization with Model Combination based on F1-score Maximization. | Akinori Fujino, Hideki Isozaki, Jun Suzuki |
| 2007 | EMNLP | Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. | Jun Suzuki, Akinori Fujino, Hideki Isozaki |
| 2007 | IJCAI | Semi-Supervised Learning for Multi-Component Data Classification. | Akinori Fujino, Naonori Ueda, Kazumi Saito |
| 2005 | AAAI | A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. | Akinori Fujino, Naonori Ueda, Kazumi Saito |
| 2004 | Interspeech | Some articulatory measurements of real sadness. | Donna Erickson, Caroline Menezes, Akinori Fujino |
| 2000 | Interspeech | Articulatory compensation and adaptation for unexpected palate shape perturbation. | Masaaki Honda, Akinori Fujino |
| 1996 | ICEC | Untitled record | Tadashi Horiuchi, Akinori Fujino, Osamu Katai, Tetsuo Sawaragi |