RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing. - Yao Lu 021; John Panneerselvam; Lu Liu 001; Yan Wu 009 (Sci. Program., 2016)

Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments. - John Panneerselvam; Lu Liu 001; Yao Lu 021 (Cloud Computing, 2nd Ed., 2017)

Cloud Workload Analytics for Real-Time Prediction of User Request Patterns. - Hengjian Wang; John Panneerselvam; Lu Liu 001; Yao Lu 021; Xiaojun Zhai; Haider Ali 001 (HPCC/SmartCity/DSS, 2018)

An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres. - John Panneerselvam; Lu Liu 001; Yao Lu 021; Nick Antonopoulos (Future Gener. Comput. Syst., 2018)

An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence. - Bo Yuan 004; John Panneerselvam; Lu Liu 001; Nick Antonopoulos; Yao Lu 021 (IEEE Trans. Ind. Informatics, 2019)

DDoS detection and defense mechanism for SDN controllers with K-Means. - Jie Cui 004; Jing Zhang 024; Jiantao He; Hong Zhong 001; Yao Lu 021 (UCC, 2020)

Modeling and analysis of medical resource allocation based on Timed Colored Petri net. - Wangyang Yu 001; Menghan Jia; Xianwen Fang; Yao Lu 021; Jianchun Xu (Future Gener. Comput. Syst., 2020)

Prediction and differential analysis of RNA secondary structure. - Bo Yuan 004; Yao Lu 021; Qiangfeng Cliff Zhang; Lin Hou (Quant. Biol., 2020)

A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G. - Yao Lu 021; Lu Liu 001; John Panneerselvam; Bo Yuan 004; Jiayan Gu; Nick Antonopoulos (IEEE Trans. Cogn. Commun. Netw., 2020)

Latency-Based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacenters. - Yao Lu 021; Lu Liu 001; John Panneerselvam; Xiaojun Zhai; Xiang Sun; Nick Antonopoulos (IEEE Trans. Sustain. Comput., 2020)

An inter-cell resource usage analysis of large-scale datacentre trace logs. - Zekun Sun; John Panneerselvam; Lu Liu 001; Yao Lu 021; Wan Tang (UCC, 2022)

EA-DFPSO: An intelligent energy-efficient scheduling algorithm for mobile edge networks. - Yao Lu 021; Lu Liu 001; Jiayan Gu; John Panneerselvam; Bo Yuan 004 (Digit. Commun. Networks, 2022)

The least-used key selection method for information retrieval in large-scale Cloud-based service repositories. - Jiayan Gu; Ashiq Anjum; Yan Wu 009; Lu Liu 001; John Panneerselvam; Yao Lu 021; Bo Yuan 004 (J. Cloud Comput., 2022)

Optimization of service addition in multilevel index model for edge computing. - Jiayan Gu; Yan Wu 009; Ashiq Anjum; John Panneerselvam; Yao Lu 021; Bo Yuan 004 (Concurr. Comput. Pract. Exp., 2023)

An adaptive key selection method for the multilevel index model for effective service management in the cloud. - Jiayan Gu; Yan Wu 009; Ashiq Anjum; Lu Liu 001; John Panneerselvam; Yao Lu 021 (Concurr. Comput. Pract. Exp., 2024)

Collaborative Filtering Algorithm Based on Deep Denoising Auto-Encoder and Attention Mechanism. - Zixuan Han; Leilei Shi; Qiang Sun; Xiuliang Huang; Bing Lei; Lu Liu 001; Yao Lu 021 (Comput. Informatics, 2025)

PINE: Local patch reweighting and mixed independent neural encoder for datacentre workload prediction. - Haowen Zheng; Yao Lu 021; Lu Liu 001; Zekun Sun; John Panneerselvam; Xiang Sun (Neurocomputing, 2025)

CFTD: Core Fusion Time Series Dense Encoder for Intelligent Prediction With Edge AI in Social IoT Systems. - Yao Lu 021; Renyu Zhang; Ziheng Suo; Jing Zhang 024; Lu Liu 001; Geyong Min (IEEE Internet Things J., 2025)