Ying-Feng Hsu

According to our database, Ying-Feng Hsu authored at least 19 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Comprehensive Analysis of Dieting Apps: Effectiveness, Design, and Frequency Usage.

Allison Hsu, Ying-Feng Hsu

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Historical Redundant Process Data Recovery based on Genetic Algorithm.

Ying-Feng Hsu

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

Early Detection of Campus Network DDoS Attacks using Predictive Models.

Araki Ryusei, Ying-Feng Hsu, Morito Matsuoka

Proceedings of the IEEE Global Communications Conference, 2022

Real Network DDoS Pattern Analysis and Detection.

Ying-Feng Hsu, Araki Ryusei, Morito Matsuoka

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Computer Education of the Primary Years Programme Exhibition at International Baccalaureate Schools During the COVID-19 Pandemic.

Allison Hsu, Ying-Feng Hsu

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Comparison of Teenagers' Writing Using Word Clouds and Analyzing Engines.

Allison Hsu, Ying-Feng Hsu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

An Early Warning System for Patients in Emergency Department based on Machine Learning.

Ying-Feng Hsu, Morito Matsuoka

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020

A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System.

Ying-Feng Hsu, Morito Matsuoka

Proceedings of the 9th IEEE International Conference on Cloud Networking, 2020

High-Performance Virus Detection System by using Deep Learning.

Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Toward a Workload Allocation Optimizer for Power Saving in Data Centers.

Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, Morito Matsuoka

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification.

Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura

Proceedings of the Artificial Intelligence in Medicine, 2019

Real-Time Workload Allocation Optimizer for Computing Systems by Using Deep Learning.

Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

Toward an Online Network Intrusion Detection System Based on Ensemble Learning.

Ying-Feng Hsu, Zhenyu He, Yuya Tarutani, Morito Matsuoka

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018

A Novel Automated Tiered Storage Architecture for Achieving Both Cost Saving and QoE.

Ryo Irie, Shuuichirou Murata, Ying-Feng Hsu, Morito Matsuoka

Proceedings of the 8th IEEE International Symposium on Cloud and Service Computing, 2018

Dynamic Power Consumption Prediction and Optimization of Data Center by Using Deep Learning and Computational Fluid Dynamics.

Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka

Proceedings of the 7th IEEE International Conference on Cloud Networking, 2018

Self-Aware Workload Forecasting in Data Center Power Prediction.

Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

A High-Performance Sequence Analysis Engine for Shotgun Metagenomics through GPU Acceleration.

Ying-Feng Hsu, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura

Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification.

Ying-Feng Hsu, Ryo Irie, Shuuichirou Murata, Morito Matsuoka

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2011

Conflict-Aware Historical Data Fusion.

Vladimir Zadorozhny, Ying-Feng Hsu

Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011