Message Passing Communication in a Parallel Computer Cenju-4. - Yasushi Kanoh; Masaaki Nakamura; Tetsuya Hirose; Takeo Hosomi; Hirokazu Takayama; Toshiyuki Nakata 001 (ISHPC, 1999)

A DSM Architecture for a Parallel Computer Cenju-4. - Takeo Hosomi; Yasushi Kanoh; Masaaki Nakamura; Tetsuya Hirose (HPCA, 2000)

The Omni OpenMP Compiler on the Distributed Shared Memory of Cenju-4. - Kazuhiro Kusano; Mitsuhisa Sato; Takeo Hosomi; Yoshiki Seo (WOMPAT, 2001)

Dragonfly: Cloud Assisted Peer-to-Peer Architecture for Multipoint Media Streaming Applications. - Erdinc Korpeoglu; Cetin Sahin; Divyakant Agrawal; Amr El Abbadi; Takeo Hosomi; Yoshiki Seo (IEEE CLOUD, 2013)

FPGA-accelerated complex event processing. - Takashi Takenaka; Hiroaki Inoue; Takeo Hosomi; Yuichi Nakamura 002 (VLSIC, 2015)

Accelerating NFV application using CPU-FPGA tightly coupled architecture. - Yoshikazu Watanabe; Yuki Kobayashi; Takashi Takenaka; Takeo Hosomi; Yuichi Nakamura 002 (FPT, 2017)

Parallelism-flexible Convolution Core for Sparse Convolutional Neural Networks on FPGA. - Salita Sombatsiri; Seiya Shibata; Yuki Kobayashi; Hiroaki Inoue; Takashi Takenaka; Takeo Hosomi; Jaehoon Yu; Yoshinori Takeuchi (IPSJ Trans. Syst. LSI Des. Methodol., 2019)

Dual-Plane Isomorphic Hypercube Network. - Takeo Hosomi; Ryota Yasudo; Michihiro Koibuchi; Shinji Shimojo (HPC Asia, 2020)

Acquiring New Categories by Self Data Gathering with Bayesian Attractor Model. - Tatsuya Otoshi; Shin'ichi Arakawa; Masayuki Murata 001; Kai Wang; Takeo Hosomi; Toshiyuki Kanoh (ICHMS, 2020)

Non-parametric Decision-Making by Bayesian Attractor Model for Dynamic Slice Selection. - Tatsuya Otoshi; Shin'ichi Arakawa; Masayuki Murata 001; Takeo Hosomi (GLOBECOM, 2021)

Flexible Updating of Attractors in Virtual Network Topology Control with Bayesian Attractor Model. - Tatsuya Otoshi; Shin'ichi Arakawa; Masayuki Murata 001; Kai Wang; Takeo Hosomi; Toshiyuki Kanoh (ICC, 2021)

Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks. - Yusuke Sakemi; Takashi Morie; Takeo Hosomi; Kazuyuki Aihara (CoRR, 2021)

A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing. - Yusuke Sakemi; Kai Morino; Takashi Morie; Takeo Hosomi; Kazuyuki Aihara (ISCAS, 2022)

Robustness of Spiking Neural Networks Based on Time-to-First-Spike Encoding Against Adversarial Attacks. - Osamu Nomura; Yusuke Sakemi; Takeo Hosomi; Takashi Morie (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Method for Constructing Research Data Provenance in High-Performance Computing Systems. - Yuta Namiki; Takeo Hosomi; Hideyuki Tanushi; Akihiro Yamashita; Susumu Date (e-Science, 2023)

Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding. - Yusuke Sakemi; Kakei Yamamoto; Takeo Hosomi; Kazuyuki Aihara (CoRR, 2023)

Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization. - Hideyuki Tanushi; Hiroshi Furutani; Takeo Hosomi; Naoto Kai; Kaname Harumoto; Susumu Date (e-Science, 2024)

Training Physical Neural Networks for Analog In-Memory Computing. - Yusuke Sakemi; Yuji Okamoto; Takashi Morie; Sou Nobukawa; Takeo Hosomi; Kazuyuki Aihara (CoRR, 2024)

SCUP-HPC: System for Constructing and Utilizing Provenance on High-Performance Computing Systems. - Yuta Namiki; Takeo Hosomi; Hideyuki Tanushi; Akihiro Yamashita; Susumu Date (IEEE Access, 2025)

Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring. - Fraol Batole; Abhiram Bellur; Malinda Dilhara; Mohammed Raihan Ullah; Yaroslav Zharov; Timofey Bryksin; Kai Ishikawa; Haifeng Chen; Masaharu Morimoto; Shota Motoura; Takeo Hosomi; Tien N. Nguyen; et al. (CoRR, 2025)