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Shingo Horiuchi

Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error
2020 · Taiji Suzuki, Hiroshi Abe, et al. · International Joint Conference on Artificial Intelligence · 38
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Intent-based cloud service management
2018 · Wu Chao, Shingo Horiuchi · Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) · 25
Intent-driven cloud resource design framework to meet cloud performance requirements and its application to a cloud-sensor system
2021 · Chao Wu, Shingo Horiuchi, et al. · Journal of Cloud Computing Advances Systems and Applications · 19
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Spectral-Pruning: Compressing deep neural network via spectral analysis
2018 · Taiji Suzuki, Hiroshi Abe, et al. · arXiv (Cornell University) · 12
A Resource Design Framework to Realize Intent-Based Cloud Management
2019 · Chao Wu, Shingo Horiuchi, et al. · IEEE International Conference on Cloud Computing Technology and Science · 10
A Maximum Likelihood Approach to Density Estimation with Semidefinite Programming
2006 · Tadayoshi Fushiki, Shingo Horiuchi, et al. · Neural Computation · 8
An Intent-driven DaaS Management Framework to Enhance User Quality of Experience
2022 · Chao Wu, Shingo Horiuchi, et al. · ACM Transactions on Internet Technology · 5
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Network Resource Management Technology
2017 · Shingo Horiuchi, Kazuaki Akashi, et al. · NTT technical review · 4
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Fault Report Generation for ICT Systems by Jointly Learning Time-series and Text Data
2022 · Nobukazu Fukuda, Chao Wu, et al. · IEEE/IFIP Network Operations and Management Symposium (NOMS) · 3
Automatic image description by using word-level features
2013 · Shingo Horiuchi, Hirotaka Moriguchi, et al. · International Conference on Internet Multimedia Computing and Service · 3
Efforts by TM Forum, an Operation Standards Organization
2023 · Shingo Horiuchi, Kenichi Tayama · NTT technical review · 2
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Model-based Data-Complexity Estimator for Deep Learning Systems
2021 · Yuta Ojima, Shingo Horiuchi, et al. · IEEE International Conference on Artificial Intelligence Testing (AITest) · 2
MOOSIA: Technology for One-stop Operation
2018 · Takaaki Moriya, Atsushi Yoshida, et al. · NTT technical review · 2
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Study of Variable Management Architecture for Diverse Networks
2016 · Masataka Satô, Akashi Kazuaki, et al. · IEICE Technical Report; IEICE Tech. Rep. · 2
Standardization Trends Related to Environmental and Operations Technologies
2024 · Yuichiro Okugawa, Minako Hara, et al. · NTT technical review · 1
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Intent AI Mediator (Mintent) for High-satisfaction-level Services
2022 · Kazuhisa Yamagishi, Masahiro Kobayashi, et al. · NTT technical review · 1
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Technology for Extracting and Converting Various and Ambiguous Intents to Implement Mintent
2022 · Noritsugu Egi, Shingo Horiuchi · NTT technical review · 1
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Latest Activities in TM Forum
2021 · Shingo Horiuchi, Kenichi Tayama · NTT technical review · 1
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A Study on Method of Visualization for Multiple Network Structure
2018 · Kimihiko Fukami, Masataka Satô, et al. · IEICE Technical Report; IEICE Tech. Rep. · 1
Latest TM Forum Developments
2016 · Shingo Horiuchi · NTT technical review · 1
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Ontology modeling in developing OSSs
2005 · Shingo Horiuchi, Masateru Inoue, et al. · Asia-Pacific Network Operations and Management Symposium (APNOMS) · 1
Approach of OSS design method using ontologies
2004 · Shingo Horiuchi, Takashi Inoue, et al. · IEICE Technical Report; IEICE Tech. Rep. · 1
A New Computational Approach to Density Estimation with Semidefinite Programming
2003 · Tadayoshi Fushiki, Shingo Horiuchi, et al. · 1
Semi-Supervised and Disentangled Causal Discovery for Analyzing Fault Propagation in Microservices
2026 · Nobukazu Fukuda, Haruhisa Nozue, et al. · IEEE Access
TM Forum Latest Trends
2025 · Sayaka Yagi, Shingo Horiuchi, et al. · NTT technical review
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Works count: 40
Citation count: 144
H-index: 6
I10-index: 5
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