Dynamic Range Labeling for XML Trees. - Takeharu Eda; Yasushi Sakurai; Toshiyuki Amagasa; Masatoshi Yoshikawa; Shunsuke Uemura; Takashi Honishi (EDBT Workshops, 2004)

Processing XPath queries with XML summaries. - Takeharu Eda; Makoto Onizuka; Masashi Yamamuro (CIKM, 2005)

Locally Expandable Allocation of Folksonomy Tags in a Directed Acyclic Graph. - Takeharu Eda; Masatoshi Yoshikawa; Masashi Yamamuro (WISE, 2008)

Signaling emotion in tagclouds. - Takeharu Eda; Toshio Uchiyama; Tadasu Uchiyama; Masatoshi Yoshikawa (WWW, 2009)

The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags. - Takeharu Eda; Masatoshi Yoshikawa; Toshio Uchiyama; Tadasu Uchiyama (World Wide Web, 2009)

Accelerating instant question search with database techniques. - Takeharu Eda; Toshio Uchiyama; Katsuji Bessho; Norifumi Katafuchi; Alice Chen; Ryoji Kataoka (WWW (Companion Volume), 2011)

A Practical Person Monitoring System for City Security. - Takeharu Eda; Sanae Muramatsu; Keita Mikami; Shi Xu (AVSS, 2018)

An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement. - Takeharu Eda; Sanae Muramatsu; Shohei Enomoto; Shi Xu (ICIP, 2019)

Effective Data Augmentation with Multi-Domain Learning GANs. - Shin'ya Yamaguchi; Sekitoshi Kanai; Takeharu Eda (AAAI, 2020)

ECNet: A Fast, Accurate, and Lightweight Edge-Cloud Network System based on Cascading Structure. - Libo Hu; Tao Wang; Hiroshi Watanabe 001; Shohei Enomoto; Xu Shi 001; Akira Sakamoto; Takeharu Eda (GCCE, 2020)

Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. - Shohei Enomoto; Takeharu Eda (AAAI, 2021)

Inter-Feature-Map Differential Coding of Surveillance Video. - Kei Iino; Miho Takahashi; Hiroshi Watanabe 001; Ichiro Morinaga; Shohei Enomoto; Xu Shi 001; Akira Sakamoto; Takeharu Eda (GCCE, 2022)

AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (CoRR, 2022)

A Video Object Detection Method of ECNet Based on Frame Difference and Grid Cell Confidence. - Shunsuke Akamatsu; Kei Iino; Hiroshi Watanabe 001; Shohei Enomoto; Xu Shi 001; Akira Sakamoto; Takeharu Eda (GCCE, 2023)

Case Study: Two-Phase AI Prediction Techniques for Space Edge Computing. - Takeharu Eda; Akihiro Yamanaka; Keiichi Tabata; Ikuo Yamasaki (IGARSS, 2023)

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 (INTERSPEECH, 2023)

FPGA based Power-Efficient Edge Server to Accelerate Speech Interface for Socially Assistive Robotics. - Haris Gulzar; Muhammad Shakeel 001; Katsutoshi Itoyama; Kazuhiro Nakadai; Kenji Nishida; Hideharu Amano; Takeharu Eda (SII, 2023)

Incorporating Supervised Domain Generalization into Data Augmentation. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (CoRR, 2023)

Collaborative Intelligence For Vision Transformers: A Token Sparsity-Driven Edge-Cloud Framework. - Monikka Roslianna Busto; Shohei Enomoto; Takeharu Eda (ICIP, 2024)

Improving Image Coding for Machines Through Optimizing Encoder Via Auxiliary Loss. - Kei Iino; Shunsuke Akamatsu; Hiroshi Watanabe 001; Shohei Enomoto; Akira Sakamoto; Takeharu Eda (ICIP, 2024)

Case-Study: Two-Phase AI Prediction for Onboard Synthetic Aperture Radar (SAR) Data Processing. - Monikka Roslianna Busto; Takeharu Eda; Takuro Udagawa; Tatsuyuki Sekine (IGARSS, 2024)

Parameter and Data Efficient Framework for Lightweight Change Detection. - Monikka Roslianna Busto; Sepehr Nouri; Takeharu Eda (IGARSS, 2024)

Technical Challenges for AI in Space Data Centers. - Takeharu Eda; Monikka Roslianna Busto; Takuro Udagawa; Naoki Ishihama; Keiichi Tabata; Yoshinori Matsuo; Ikuo Yamasaki (IGARSS, 2024)

A GAN-Based SAR-Optical Data Fusion Approach for Enhanced Flood Mapping. - Tatsuyuki Sekine; Akihiro Yamanaka; Takeharu Eda; Takuro Udagawa; Monikka Roslianna Busto (IGARSS, 2024)

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 (IJCNN, 2024)

Dynamic Test-Time Augmentation via Differentiable Functions. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (IEEE Access, 2024)

An Efficient GPU-based Implementation for Noise Robust Sound Source Localization. - Zirui Lin; Masayuki Takigahira; Naoya Terakado; Haris Gulzar; Monikka Roslianna Busto; Takeharu Eda; Katsutoshi Itoyama; Kazuhiro Nakadai; Hideharu Amano (CoRR, 2025)