Smart Meter Data Analysis for Power Theft Detection. - Daniel Nikolaev Nikovski; Zhenhua Wang; Alan Esenther; Hongbo Sun 003; Keisuke Sugiura; Toru Muso; Kaoru Tsuru (MLDM, 2013)

An extension of Godunov SPH: Application to negative pressure media. - Keisuke Sugiura; Shu-ichiro Inutsuka (J. Comput. Phys., 2016)

An extension of Godunov SPH II: Application to elastic dynamics. - Keisuke Sugiura; Shu-ichiro Inutsuka (J. Comput. Phys., 2017)

A unified accelerator design for LiDAR SLAM algorithms for low-end FPGAs. - Keisuke Sugiura; Hiroki Matsutani (FPT, 2021)

Particle Filter-based vs. Graph-based: SLAM Acceleration on Low-end FPGAs. - Keisuke Sugiura; Hiroki Matsutani (CoRR, 2021)

An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm. - Keisuke Sugiura; Hiroki Matsutani (IEICE Trans. Inf. Syst., 2021)

P3Net: PointNet-based Path Planning on FPGA. - Keisuke Sugiura; Hiroki Matsutani (FPT, 2022)

dsODENet: Neural ODE and Depthwise Separable Convolution for Domain Adaptation on FPGAs. - Hiroki Kawakami; Hirohisa Watanabe; Keisuke Sugiura; Hiroki Matsutani (PDP, 2022)

A Universal LiDAR SLAM Accelerator System on Low-Cost FPGA. - Keisuke Sugiura; Hiroki Matsutani (IEEE Access, 2022)

A Lightweight Transformer Model using Neural ODE for FPGAs. - Ikumi Okubo; Keisuke Sugiura; Hiroki Kawakami; Hiroki Matsutani (IPDPS Workshops, 2023)

An Edge-Server Partitioning Method for 3D LiDAR SLAM on FPGAs. - Mizuki Yasuda; Keisuke Sugiura; Ryuto Kojima; Hiroki Matsutani (IPDPS Workshops, 2023)

An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs. - Keisuke Sugiura; Hiroki Matsutani (PDP, 2023)

A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs. - Hiroki Kawakami; Hirohisa Watanabe; Keisuke Sugiura; Hiroki Matsutani (IEICE Trans. Inf. Syst., 2023)

An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm. - Kazuki Sunaga; Keisuke Sugiura; Hiroki Matsutani (IPDPS (Workshops), 2024)

A Scalable Secure Fault Tolerant Aggregation for P2P Federated Learning. - Yujiro Yahata; Keisuke Sugiura; Hiroki Matsutani (IPDPS (Workshops), 2024)

A Cost-Efficient FPGA-Based CNN-Transformer Using Neural ODE. - Ikumi Okubo; Keisuke Sugiura; Hiroki Matsutani (IEEE Access, 2024)

A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE. - Ikumi Okubo; Keisuke Sugiura; Hiroki Matsutani (CoRR, 2024)

Development of Wall Hammering Inspection Systems Using Two-Wheeled Multi-Copters. - Shuto Seki; Keisuke Sugiura; Satoshi Nakano; Masao Watanabe; Manabu Yamada (J. Robotics Mechatronics, 2024)

An Integrated FPGA Accelerator for Deep Learning-Based 2D/3D Path Planning. - Keisuke Sugiura; Hiroki Matsutani (IEEE Trans. Computers, 2024)

ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization. - Keisuke Sugiura; Hiroki Matsutani (CoRR, 2025)

PointODE: Lightweight Point Cloud Learning with Neural Ordinary Differential Equations on Edge. - Keisuke Sugiura; Mizuki Yasuda; Hiroki Matsutani (CoRR, 2025)

InstantFT: An FPGA-Based Runtime Subsecond Fine-tuning of CNN Models. - Keisuke Sugiura; Hiroki Matsutani (CoRR, 2025)

FPGA-accelerated Correspondence-free Point Cloud Registration with PointNet Features. - Keisuke Sugiura; Hiroki Matsutani (ACM Trans. Reconfigurable Technol. Syst., 2025)