Yao Lu

According to our database, Yao Lu authored at least 18 papers between 2016 and 2025.

Collaborative distances:

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

2025

CFTD: Core Fusion Time Series Dense Encoder for Intelligent Prediction With Edge AI in Social IoT Systems.

Yao Lu, Renyu Zhang, Ziheng Suo, Jing Zhang, Lu Liu, Geyong Min

IEEE Internet Things J., September, 2025

PINE: Local patch reweighting and mixed independent neural encoder for datacentre workload prediction.

Haowen Zheng, Yao Lu, Lu Liu, Zekun Sun, John Panneerselvam, Xiang Sun

Neurocomputing, 2025

Collaborative Filtering Algorithm Based on Deep Denoising Auto-Encoder and Attention Mechanism.

Zixuan Han, Leilei Shi, Qiang Sun, Xiuliang Huang, Bing Lei, Lu Liu, Yao Lu

Comput. Informatics, 2025

2024

An adaptive key selection method for the multilevel index model for effective service management in the cloud.

Jiayan Gu, Yan Wu, Ashiq Anjum, Lu Liu, John Panneerselvam, Yao Lu

Concurr. Comput. Pract. Exp., 2024

2023

Optimization of service addition in multilevel index model for edge computing.

Jiayan Gu, Yan Wu, Ashiq Anjum, John Panneerselvam, Yao Lu, Bo Yuan

Concurr. Comput. Pract. Exp., 2023

2022

The least-used key selection method for information retrieval in large-scale Cloud-based service repositories.

Jiayan Gu, Ashiq Anjum, Yan Wu, Lu Liu, John Panneerselvam, Yao Lu, Bo Yuan

J. Cloud Comput., 2022

EA-DFPSO: An intelligent energy-efficient scheduling algorithm for mobile edge networks.

Yao Lu, Lu Liu, Jiayan Gu, John Panneerselvam, Bo Yuan

Digit. Commun. Networks, 2022

An inter-cell resource usage analysis of large-scale datacentre trace logs.

Zekun Sun, John Panneerselvam, Lu Liu, Yao Lu, Wan Tang

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

2020

Latency-Based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacenters.

Yao Lu, Lu Liu, John Panneerselvam, Xiaojun Zhai, Xiang Sun, Nick Antonopoulos

IEEE Trans. Sustain. Comput., 2020

A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G.

Yao Lu, Lu Liu, John Panneerselvam, Bo Yuan, Jiayan Gu, Nick Antonopoulos

IEEE Trans. Cogn. Commun. Netw., 2020

Prediction and differential analysis of RNA secondary structure.

Bo Yuan, Yao Lu, Qiangfeng Cliff Zhang, Lin Hou

Quant. Biol., 2020

Modeling and analysis of medical resource allocation based on Timed Colored Petri net.

Wangyang Yu, Menghan Jia, Xianwen Fang, Yao Lu, Jianchun Xu

Future Gener. Comput. Syst., 2020

DDoS detection and defense mechanism for SDN controllers with K-Means.

Jie Cui, Jing Zhang, Jiantao He, Hong Zhong, Yao Lu

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

2019

An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence.

Bo Yuan, John Panneerselvam, Lu Liu, Nick Antonopoulos, Yao Lu

IEEE Trans. Ind. Informatics, 2019

2018

An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres.

John Panneerselvam, Lu Liu, Yao Lu, Nick Antonopoulos

Future Gener. Comput. Syst., 2018

Cloud Workload Analytics for Real-Time Prediction of User Request Patterns.

Hengjian Wang, John Panneerselvam, Lu Liu, Yao Lu, Xiaojun Zhai, Haider Ali

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017

Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments.

John Panneerselvam, Lu Liu, Yao Lu

Proceedings of the Cloud Computing - Principles, Systems and Applications, Second Edition, 2017

2016

RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing.

Yao Lu, John Panneerselvam, Lu Liu, Yan Wu

Sci. Program., 2016