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Ying-Feng Hsu
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2020 – today
- 2023
- [c19]Ying-Feng Hsu:
Historical Redundant Process Data Recovery based on Genetic Algorithm. COMPSAC 2023: 280-285 - [c18]Allison Hsu, Ying-Feng Hsu:
Comprehensive Analysis of Dieting Apps: Effectiveness, Design, and Frequency Usage. COMPSAC 2023: 549-557 - 2022
- [c17]Allison Hsu, Ying-Feng Hsu:
Comparison of Teenagers' Writing Using Word Clouds and Analyzing Engines. IEEE Big Data 2022: 6653-6655 - [c16]Allison Hsu, Ying-Feng Hsu:
Computer Education of the Primary Years Programme Exhibition at International Baccalaureate Schools During the COVID-19 Pandemic. COMPSAC 2022: 411-412 - [c15]Ying-Feng Hsu, Araki Ryusei, Morito Matsuoka:
Real Network DDoS Pattern Analysis and Detection. COMPSAC 2022: 1489-1494 - [c14]Araki Ryusei, Ying-Feng Hsu, Morito Matsuoka:
Early Detection of Campus Network DDoS Attacks using Predictive Models. GLOBECOM 2022: 3362-3367 - 2021
- [c13]Ying-Feng Hsu, Morito Matsuoka:
An Early Warning System for Patients in Emergency Department based on Machine Learning. CSCI 2021: 1196-1201 - 2020
- [c12]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]Ying-Feng Hsu, Morito Matsuoka:
A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System. CloudNet 2020: 1-6
2010 – 2019
- 2019
- [c10]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]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]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]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]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]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]Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka:
Self-Aware Workload Forecasting in Data Center Power Prediction. CCGrid 2018: 321-330 - [c3]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]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 - 2011
- [c1]Vladimir Zadorozhny, Ying-Feng Hsu:
Conflict-Aware Historical Data Fusion. SUM 2011: 331-345
Coauthor Index
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