Ying-Feng Hsu

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 18

Top Topics

Virus Detection

Sequence Analysis

Top Venues

Publications

Ying-Feng Hsu
Historical Redundant Process Data Recovery based on Genetic Algorithm. COMPSAC (2023)
Allison Hsu, Ying-Feng Hsu
Comprehensive Analysis of Dieting Apps: Effectiveness, Design, and Frequency Usage. COMPSAC (2023)
Allison Hsu, Ying-Feng Hsu
Comparison of Teenagers' Writing Using Word Clouds and Analyzing Engines. Big Data (2022)
Allison Hsu, Ying-Feng Hsu
Computer Education of the Primary Years Programme Exhibition at International Baccalaureate Schools During the COVID-19 Pandemic. COMPSAC (2022)
Araki Ryusei, Ying-Feng Hsu, Morito Matsuoka
Early Detection of Campus Network DDoS Attacks using Predictive Models. GLOBECOM (2022)
Ying-Feng Hsu, Araki Ryusei, Morito Matsuoka
Real Network DDoS Pattern Analysis and Detection. COMPSAC (2022)
Ying-Feng Hsu, Morito Matsuoka
An Early Warning System for Patients in Emergency Department based on Machine Learning. CSCI (2021)
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)
Ying-Feng Hsu, Morito Matsuoka
A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System. CloudNet (2020)
Ying-Feng Hsu, Zhenyu He, Yuya Tarutani, Morito Matsuoka
Toward an Online Network Intrusion Detection System Based on Ensemble Learning. CLOUD (2019)
Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, Morito Matsuoka
Toward a Workload Allocation Optimizer for Power Saving in Data Centers. IC2E (2019)
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)
Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka
Real-Time Workload Allocation Optimizer for Computing Systems by Using Deep Learning. CLOUD (2019)
Ryo Irie, Shuuichirou Murata, Ying-Feng Hsu, Morito Matsuoka
A Novel Automated Tiered Storage Architecture for Achieving Both Cost Saving and QoE. SC² (2018)
Ying-Feng Hsu, Ryo Irie, Shuuichirou Murata, Morito Matsuoka
A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification. IEEE CLOUD (2018)
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)
Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka
Self-Aware Workload Forecasting in Data Center Power Prediction. CCGrid (2018)
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)
Vladimir Zadorozhny, Ying-Feng Hsu
Conflict-Aware Historical Data Fusion. SUM (2011)