Conflict-Aware Historical Data Fusion. - Vladimir Zadorozhny; Ying-Feng Hsu (SUM, 2011)

A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification. - Ying-Feng Hsu; Ryo Irie; Shuuichirou Murata; Morito Matsuoka (IEEE CLOUD, 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 (BIBE, 2018)

Self-Aware Workload Forecasting in Data Center Power Prediction. - Ying-Feng Hsu; Kazuhiro Matsuda; Morito Matsuoka (CCGrid, 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 (CloudNet, 2018)

A Novel Automated Tiered Storage Architecture for Achieving Both Cost Saving and QoE. - Ryo Irie; Shuuichirou Murata; Ying-Feng Hsu; Morito Matsuoka (SC², 2018)

Toward an Online Network Intrusion Detection System Based on Ensemble Learning. - Ying-Feng Hsu; Zhenyu He 002; Yuya Tarutani; Morito Matsuoka (CLOUD, 2019)

Real-Time Workload Allocation Optimizer for Computing Systems by Using Deep Learning. - Hayato Kuwahara; Ying-Feng Hsu; Kazuhiro Matsuda; Morito Matsuoka (CLOUD, 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 (AIME, 2019)

Toward a Workload Allocation Optimizer for Power Saving in Data Centers. - Ying-Feng Hsu; Hayato Kuwahara; Kazuhiro Matsuda; Morito Matsuoka (IC2E, 2019)

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 (CEC, 2020)

A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System. - Ying-Feng Hsu; Morito Matsuoka (CloudNet, 2020)

An Early Warning System for Patients in Emergency Department based on Machine Learning. - Ying-Feng Hsu; Morito Matsuoka (CSCI, 2021)

Comparison of Teenagers' Writing Using Word Clouds and Analyzing Engines. - Allison Hsu; Ying-Feng Hsu (IEEE Big Data, 2022)

Computer Education of the Primary Years Programme Exhibition at International Baccalaureate Schools During the COVID-19 Pandemic. - Allison Hsu; Ying-Feng Hsu (COMPSAC, 2022)

Real Network DDoS Pattern Analysis and Detection. - Ying-Feng Hsu; Araki Ryusei; Morito Matsuoka (COMPSAC, 2022)

Early Detection of Campus Network DDoS Attacks using Predictive Models. - Araki Ryusei; Ying-Feng Hsu; Morito Matsuoka (GLOBECOM, 2022)

Historical Redundant Process Data Recovery based on Genetic Algorithm. - Ying-Feng Hsu (COMPSAC, 2023)

Comprehensive Analysis of Dieting Apps: Effectiveness, Design, and Frequency Usage. - Allison Hsu; Ying-Feng Hsu (COMPSAC, 2023)