Hiroshi KAWAGUCHI

Hiroshi KAWAGUCHI

Kobe University

H-index: 38

Asia-Japan

About Hiroshi KAWAGUCHI

Hiroshi KAWAGUCHI, With an exceptional h-index of 38 and a recent h-index of 19 (since 2020), a distinguished researcher at Kobe University, specializes in the field of Integrated circuits, IC, LSI, VLSI.

His recent articles reflect a diverse array of research interests and contributions to the field:

A 1W/8R 20T SRAM Codebook for Deep Learning Processors to Reduce Main Memory Bandwidth

Quantitative Evaluation Method of Timed Up and Go Test for Hospitalized Patients Using Inertial Sensors

A 1W8R 20T SRAM Codebook for 20% Energy Reduction in Mixed-Precision Deep-Learning Inference Processor System

Semilayer-Wise Partial Quantization Without Accuracy Degradation or Back Propagation

Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks

Estimating Person Location in Bathroom with Spatial Ultrasound and Variational autoencoder

An ultrasonic raytracing simulation method for bathroom surveillance

Increasing the Sensitivity of Piezoelectric Pulse Wave Sensors for Pulse Wave Propagation Measurement

Hiroshi KAWAGUCHI Information

University

Position

___

Citations(all)

10986

Citations(since 2020)

2598

Cited By

9439

hIndex(all)

38

hIndex(since 2020)

19

i10Index(all)

134

i10Index(since 2020)

40

Email

University Profile Page

Kobe University

Google Scholar

View Google Scholar Profile

Hiroshi KAWAGUCHI Skills & Research Interests

Integrated circuits

IC

LSI

VLSI

Top articles of Hiroshi KAWAGUCHI

Title

Journal

Author(s)

Publication Date

A 1W/8R 20T SRAM Codebook for Deep Learning Processors to Reduce Main Memory Bandwidth

IEICE Technical Report; IEICE Tech. Rep.

Ryotaro Ohara

Masaya Kabuto

Masakazu Taichi

Atsushi Fukunaga

Yuto Yasuda

...

2023/7/25

Quantitative Evaluation Method of Timed Up and Go Test for Hospitalized Patients Using Inertial Sensors

Tatsuya Sugimoto

Ryoto Yoshikura

Hiroshi Kawaguchi

Shintaro Izumi

2023/10/9

A 1W8R 20T SRAM Codebook for 20% Energy Reduction in Mixed-Precision Deep-Learning Inference Processor System

Ryotaro Ohara

Kabuto Masaya

Masakazu Taichi

Atsushi Fukunaga

Yuto Yasuda

...

2023/6/11

Semilayer-Wise Partial Quantization Without Accuracy Degradation or Back Propagation

Tomoya Matsuda

Kengo Matsumoto

Atsuki Inoue

Hiroshi Kawaguchi

Yasufumi Sakai

2023/9/23

Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks

Procedia Computer Science

Yasufumi Sakai

Thang Dang

Shigeki Fukuta

Koichi Shirahata

Atsushi Ishikawa

...

2023/1/1

Estimating Person Location in Bathroom with Spatial Ultrasound and Variational autoencoder

Shun Sato

Yuto Yasuda

Ryotaro Ohara

Riku Hamabe

Takayuki Genda

...

2023/9/3

An ultrasonic raytracing simulation method for bathroom surveillance

M Shahrul Amir Kamarulzaman

Riku Hamabe

Yuto Yasuda

Ryotaro Ohara

Shun Sato

...

2023/9/3

Increasing the Sensitivity of Piezoelectric Pulse Wave Sensors for Pulse Wave Propagation Measurement

IEEE Sensors Letters

Masaki Ishibashi

Shintaro Izumi

Ryo Takamatsu

Shusuke Yoshimoto

Yuki Noda

...

2023/8/24

Effectiveness of the heartbeat interval error and compensation method on heart rate variability analysis

Healthcare Technology Letters

Ayaka Shintomi

Shintaro Izumi

Masahiko Yoshimoto

Hiroshi Kawaguchi

2022/2

Wearable Perspiration Volume Sensor Using Dual-Frequency Impedance Measurement

Ryo Takamatsu

Shogo Amano

Shintaro Izumi

Hiroshi Ohta

Toshikazu Nezu

...

2022/10/30

Greedy search algorithm for partial quantization of convolutional neural networks inspired by submodular optimization

Neural Computing and Applications

Satoki Tsuji

Fuyuka Yamada

Hiroshi Kawaguchi

Atsuki Inoue

Yasufumi Sakai

2022/1/13

3D reconstruction from outdoor ultrasonic image using variation autoencoder

Ryotaro Ohara

Yuto Yasuda

Riku Hamabe

Ishii Toru

Shintaro Izumi

...

2022/10/10

20-µs accuracy time-synchronization method using bluetooth low energy for internet-of-things sensors

Masayasu Harada

Shintaro Izumi

Ryosuke Kozeni

Yukiko Yoshikawa

Toru Ishii

...

2022/1/8

Automatic pruning rate derivation for structured pruning of deep neural networks

Yasufumi Sakai

Akinori Iwakawa

Tsuguchika Tabaru

Atsuki Inoue

Hiroshi Kawaguchi

2022/8/21

Millimeter-precision ultrasonic DSSS positioning technique with geometric triangle constraint

IEEE Sensors Journal

Ishii Toru

Yuto Yasuda

Shun Sato

Shintaro Izumi

Hiroshi Kawaguchi

2022/7/11

Machine Learning-Based Severity Classification of Spinal Cord Injury Patients Using Straight Leg Raising Test

Ryoto Yoshikura

Shintaro Izumi

Tatsuya Sugimoto

Hiroshi Kawaguchi

2022/10/30

Channel-wise quantization without accuracy degradation using Δloss analysis

Kazuki Okado

Kengo Matsumoto

Atsuki Inoue

Hiroshi Kawaguchi

Yasufumi Sakai

2022/3/11

Non-contact Atrial Fibrillation Detection using a 24-GHz Microwave Doppler Radar

Shintaro Izumi

Sho Murase

Itsumi Fukuda

Kenta Taki

Kazunori Toyama

...

2022/10/30

A High-Speed Neural Architecture Search Considering the Number of Weights

Fuyuka Yamada

Satoki Tsuji

Hiroshi Kawaguchi

Atsuki Inoue

Yasufumi Sakai

2021

Rapid Method Using Deep Learning with Multi-focus Microphotographs to Measure Submicrometric Structures and Its Evaluation

Journal of Laser Micro Nanoengineering

Riki Narukage

George Okada

Hiroshi Kawaguchi

2021/10/1

See List of Professors in Hiroshi KAWAGUCHI University(Kobe University)

Co-Authors

H-index: 62
Tsuyoshi Sekitani, Ph.D, Professor

Tsuyoshi Sekitani, Ph.D, Professor

Osaka University

H-index: 26
Youngsoo Shin

Youngsoo Shin

KAIST

H-index: 24
Kyeong-Sik Min

Kyeong-Sik Min

Kookmin University

H-index: 24
Masahide Nakamura

Masahide Nakamura

Kobe University

H-index: 18
Shintaro IZUMI

Shintaro IZUMI

Kobe University

H-index: 16
Matsumoto Shinsuke

Matsumoto Shinsuke

Osaka University

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