Ying-Feng Hsu

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Morito Matsuoka

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Publications

2022
[c15]
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Ying-Feng Hsu, Araki Ryusei, Morito Matsuoka:
Real Network DDoS Pattern Analysis and Detection. COMPSAC 2022: 1489-1494
[c14]
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Araki Ryusei, Ying-Feng Hsu, Morito Matsuoka:
Early Detection of Campus Network DDoS Attacks using Predictive Models. GLOBECOM 2022: 3362-3367
2021
[c13]
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  - conf/csci/HsuM21
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Ying-Feng Hsu, Morito Matsuoka:
An Early Warning System for Patients in Emergency Department based on Machine Learning. CSCI 2021: 1196-1201
2020
[c12]
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  - conf/cec/HsuIMMJMMN20
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Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura:
High-Performance Virus Detection System by using Deep Learning. CEC 2020: 1-9
[c11]
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  - conf/cloudnet/HsuM20
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Ying-Feng Hsu, Morito Matsuoka:
A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System. CloudNet 2020: 1-6
2019
[c10]
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  - conf/IEEEcloud/HsuHTM19
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Ying-Feng Hsu, Zhenyu He, Yuya Tarutani, Morito Matsuoka:
Toward an Online Network Intrusion Detection System Based on Ensemble Learning. CLOUD 2019: 174-178
[c9]
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Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka:
Real-Time Workload Allocation Optimizer for Computing Systems by Using Deep Learning. CLOUD 2019: 190-192
[c8]
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  - conf/aime/HsuIMMJMMN19
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Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura:
Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification. AIME 2019: 24-30
[c7]
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  - conf/ic2e/HsuKMM19
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Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, Morito Matsuoka:
Toward a Workload Allocation Optimizer for Power Saving in Data Centers. IC2E 2019: 56-66
2018
[c6]
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  - conf/IEEEcloud/HsuIMM18
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Ying-Feng Hsu, Ryo Irie, Shuuichirou Murata, Morito Matsuoka:
A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification. IEEE CLOUD 2018: 492-499
[c5]
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  - conf/bibe/HsuMJMMN18
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Ying-Feng Hsu, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura:
A High-Performance Sequence Analysis Engine for Shotgun Metagenomics through GPU Acceleration. BIBE 2018: 54-60
[c4]
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  - conf/ccgrid/HsuMM18
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Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka:
Self-Aware Workload Forecasting in Data Center Power Prediction. CCGrid 2018: 321-330
[c3]
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  - conf/cloudnet/KuwaharaHMM18
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Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka:
Dynamic Power Consumption Prediction and Optimization of Data Center by Using Deep Learning and Computational Fluid Dynamics. CloudNet 2018: 1-7
[c2]
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  - conf/sc2/IrieMHM18
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Ryo Irie, Shuuichirou Murata, Ying-Feng Hsu, Morito Matsuoka:
A Novel Automated Tiered Storage Architecture for Achieving Both Cost Saving and QoE. SC² 2018: 32-40

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