| 2026 | LREC | PrePPER: A Preference Pattern-based Profiling Framework for Explainable Recommendation. | Taisuke Usumi, Akiko Masaki, Sanae Muramatsu, Akira Sakamoto, Takeharu Eda |
| 2025 | HAI | HART-Pruner: A Human-Aligned Token Reduction Method for Interpretable and Efficient Vision-Language Inference. | Miho Takahashi, Rintaro Harada, Akiko Masaki-Kato, Takeharu Eda |
| 2025 | Interspeech | Leveraging LLMs for Written to Spoken Style Data Transformation to Enhance Spoken Dialog State Tracking. | Haris Gulzar, Monikka Roslianna Busto, Akiko Masaki, Takeharu Eda, Ryo Masumura |
| 2024 | ICIP | Collaborative Intelligence For Vision Transformers: A Token Sparsity-Driven Edge-Cloud Framework. | Monikka Roslianna Busto, Shohei Enomoto, Takeharu Eda |
| 2024 | ICIP | Improving Image Coding for Machines Through Optimizing Encoder Via Auxiliary Loss. | Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda |
| 2024 | IGARSS | A GAN-Based SAR-Optical Data Fusion Approach for Enhanced Flood Mapping. | Tatsuyuki Sekine, Akihiro Yamanaka, Takeharu Eda, Takuro Udagawa, Monikka Roslianna Busto |
| 2024 | IJCNN | Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching. | Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda |
| 2024 | IGARSS | Case-Study: Two-Phase AI Prediction for Onboard Synthetic Aperture Radar (SAR) Data Processing. | Monikka Roslianna Busto, Takeharu Eda, Takuro Udagawa, Tatsuyuki Sekine |
| 2024 | IGARSS | Parameter and Data Efficient Framework for Lightweight Change Detection. | Monikka Roslianna Busto, Sepehr Nouri, Takeharu Eda |
| 2024 | IGARSS | Technical Challenges for AI in Space Data Centers. | Takeharu Eda, Monikka Roslianna Busto, Takuro Udagawa, Naoki Ishihama, Keiichi Tabata, Yoshinori Matsuo, Ikuo Yamasaki |
| 2023 | Interspeech | miniStreamer: Enhancing Small Conformer with Chunked-Context Masking for Streaming ASR Applications on the Edge. | Haris Gulzar, Monikka Roslianna Busto, Takeharu Eda, Katsutoshi Itoyama, Kazuhiro Nakadai |
| 2023 | IGARSS | Case Study: Two-Phase AI Prediction Techniques for Space Edge Computing. | Takeharu Eda, Akihiro Yamanaka, Keiichi Tabata, Ikuo Yamasaki |
| 2021 | AAAI | Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. | Shohei Enomoto, Takeharu Eda |
| 2020 | AAAI | Effective Data Augmentation with Multi-Domain Learning GANs. | Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda |
| 2019 | ICIP | An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement. | Takeharu Eda, Sanae Muramatsu, Shohei Enomoto, Shi Xu |
| 2018 | AVSS | A Practical Person Monitoring System for City Security. | Takeharu Eda, Sanae Muramatsu, Keita Mikami, Shi Xu |
| 2011 | WWW | Accelerating instant question search with database techniques. | Takeharu Eda, Toshio Uchiyama, Katsuji Bessho, Norifumi Katafuchi, Alice Chen, Ryoji Kataoka |
| 2009 | WWW | Signaling emotion in tagclouds. | Takeharu Eda, Toshio Uchiyama, Tadasu Uchiyama, Masatoshi Yoshikawa |
| 2008 | WISE | Locally Expandable Allocation of Folksonomy Tags in a Directed Acyclic Graph. | Takeharu Eda, Masatoshi Yoshikawa, Masashi Yamamuro |
| 2005 | CIKM | Processing XPath queries with XML summaries. | Takeharu Eda, Makoto Onizuka, Masashi Yamamuro |