Masato Kiyama

22 papers Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
TDGNet: Two Different Graph Convolutional Networks for Approximate Subgraph Matching.
IEEE Access
Masaki Shirotani, Motoki Amagasaki, Masato Kiyama
2025 J jnl
ENDNet: Extra-Node Decision Network for Subgraph Matching.
IEEE Access
Masaki Shirotani, Motoki Amagasaki, Masato Kiyama
2025 — conf
Enhancing FPGA Routing Efficiency with Graph Neural Network-Based Congestion Prediction.
HEART
Kazuki Tokuishi, Motoki Amagasaki, Masato Kiyama, Kenshu Seto
2025 — conf
Evaluation of Trade-Off Between Compression Ratio and Hardware Cost for Adaptive Bandwidth Compression Hardware Platform.
COOL CHIPS
Tomohiro Ueno, Kaito Kitazume, Masato Kiyama, Kazutomo Yoshii, Kento Sato, Norihisa Fujita, Ryohei Kobayashi, Taisuke Boku, Kentaro Sano
2024 J jnl
A simple DNN regression for the chemical composition in essential oil.
CoRR
Yuki Harada, Shuichi Maeda, Masato Kiyama, Shinichiro Nakamura
2024 J jnl
Advanced Implementation of DNN Translator using ResNet9 for Edge Devices.
Int. J. Netw. Comput.
Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, Yuki Morishita
2024 J jnl
Multi-Camera People Tracking With Spatio-Temporal and Group Considerations.
IEEE Access
Shoki Sakaguchi, Motoki Amagasaki, Masato Kiyama, Toshiaki Okamoto
2023 — conf
A Deep Neural Network Translator for Edge Site Implementation.
CANDARW
Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, Yuki Morishita
2023 J jnl
A Lightweight Deep Neural Network Using a Mixer-Type Nonlinear Vector Autoregression.
IEEE Access
Mery Diana, Ridhwan Amin, Motoki Amagasaki, Masato Kiyama
2022 J jnl
A Posit Based Multiply-accumulate Unit with Small Quire Size for Deep Neural Networks.
IPSJ Trans. Syst. LSI Des. Methodol.
Yasuhiro Nakahara, Yuta Masuda, Masato Kiyama, Motoki Amagasaki, Masahiro Iida
2022 J jnl
Reconfigurable Neural Network Accelerator and Simulator for Model Implementation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yasuhiro Nakahara, Masato Kiyama, Motoki Amagasaki, Qian Zhao, Masahiro Iida
2021 J jnl
Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM.
CoRR
Kazuki Yokoo, Kei Ishida, Ali Ercan, Tongbi Tu, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki
2021 J jnl
Development of Quantized DNN Library for Exact Hardware Emulation.
CoRR
Masato Kiyama, Motoki Amagasaki, Masahiro Iida
2021 J jnl
Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling.
CoRR
Takeyoshi Nagasato, Kei Ishida, Ali Ercan, Tongbi Tu, Masato Kiyama, Motoki Amagasaki, Kazuki Yokoo
2021 J jnl
Multi-Time-Scale Input Approaches for Hourly-Scale Rainfall-Runoff Modeling based on Recurrent Neural Networks.
CoRR
Kei Ishida, Masato Kiyama, Ali Ercan, Motoki Amagasaki, Tongbi Tu, Makoto Ueda
2021 J jnl
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling.
CoRR
Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki
2020 J jnl
Relationship between Recognition Accuracy and Numerical Precision in Convolutional Neural Network Models.
IEICE Trans. Inf. Syst.
Yasuhiro Nakahara, Masato Kiyama, Motoki Amagasaki, Masahiro Iida
2019 — conf
A Novel SLM-Based Virtual FPGA Overlay Architecture.
MCSoC
Theingi Myint, Motoki Amagasaki, Qian Zhao, Masahiro Iida, Masato Kiyama
2019 — conf
A Quantized Neural Network Library for Proper Implementation of Hardware Emulation.
CANDAR Workshops
Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida
2019 — conf
Deep Learning Framework with Arbitrary Numerical Precision.
MCSoC
Masato Kiyama, Motoki Amagasaki, Masahiro Iida
2006 — conf
Parallel Computations Reveal Hidden Errors of Commonly Used Random Number Generators.
CSC
Hyo Ashihara, Ai Kuramoto, Isaku Wada, Makoto Matsumoto, Hironori Kikuchi, Masato Kiyama
2005 — conf
New Method for Dispatching Waiting Logical Processors in Virtual Machine Systems.
COMPSAC (1)
Hidenori Umeno, Masato Kiyama, Takafumi Fukunaga, Takashige Kubo