Applying a QoS-based fleet dimension method to reduce fleet emissions. - Mingming Liu 001; Wynita M. Griggs; Christopher K. King; Fabian Wirth; Paul Borrel; Robert Shorten (ICCVE, 2013)

Optimal distributed power generation for thermal and electrical scheduling in a microgrid. - Mingming Liu 001; Emanuele Crisostomi; Marco Raugi; Robert Shorten (ISGT Europe, 2013)

Fair charging strategies for EVs connected to a low-voltage distribution network. - Mingming Liu 001; Paul McNamara; Seán F. McLoone (ISGT Europe, 2013)

Optimised consensus for highway speed limits via intelligent speed advisory systems. - Yingqi Gu; Mingming Liu 001; Emanuele Crisostomi; Robert Shorten (ICCVE, 2014)

Plug-and-Play Distributed Algorithms for Optimized Power Generation in a Microgrid. - Emanuele Crisostomi; Mingming Liu 001; Marco Raugi; Robert Shorten (IEEE Trans. Smart Grid, 2014)

An intelligent speed advisory system for electric vehicles. - Mingming Liu 001; Rodrigo H. Ordóñez-Hurtado; Fabian R. Wirth; Yingqi Gu; Emanuele Crisostomi; Robert Shorten (ICCVE, 2015)

A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks. - Mingming Liu 001; Rodrigo H. Ordóñez-Hurtado; Fabian Wirth; Yingqi Gu; Emanuele Crisostomi; Robert Shorten (CoRR, 2015)

On global convergence of consensus with nonlinear feedback, the Lure problem, and some applications. - Mingming Liu 001; Fabian Wirth; Martin J. Corless; Robert Shorten (CoRR, 2015)

A Distributed and Privacy-Aware Speed Advisory System for Optimizing Conventional and Electric Vehicle Networks. - Mingming Liu 001; Rodrigo H. Ordóñez-Hurtado; Fabian R. Wirth; Yingqi Gu; Emanuele Crisostomi; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2016)

On the stability and convergence of a class of consensus systems with a nonlinear input. - Mingming Liu 001; Fabian Wirth; Martin J. Corless; Robert Shorten (Autom., 2017)

Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-In Hybrid Electric Buses. - Joe Naoum-Sawaya; Emanuele Crisostomi; Mingming Liu 001; Yingqi Gu; Robert Shorten (IEEE Trans Autom. Sci. Eng., 2017)

Identification of New Patterns in Urban Traffic Flows. - Yingqi Gu; Emanuele Crisostomi; Mingming Liu 001; Robert Shorten (CCTA, 2018)

Bayesian classifier for Route prediction with Markov chains. - Jonathan P. Epperlein; Julien Monteil; Mingming Liu 001; Yingqi Gu; Sergiy Zhuk; Robert Shorten (ITSC, 2018)

On the Design of an Intelligent Speed Advisory System for Cyclists. - Yingqi Gu; Mingming Liu 001; Matheus Souza 001; Robert N. Shorten (ITSC, 2018)

Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles. - Yingqi Gu; Mingming Liu 001; Joe Naoum-Sawaya; Emanuele Crisostomi; Giovanni Russo 002; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2018)

A New Take on Protecting Cyclists in Smart Cities. - Adam Herrmann; Mingming Liu 001; Francesco Pilla; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2018)

A Distributed Markovian Parking Assist System. - Mingming Liu 001; Joe Naoum-Sawaya; Yingqi Gu; Freddy Lécué; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2019)

An Elastic IoT Device Management Platform. - Rakesh Dhakshina Murthy; Mingming Liu 001 (GCAIoT, 2020)

Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks. - Beiran Chen; Yi Zhang; George Iosifidis; Mingming Liu 001 (WF-IoT, 2020)

A Fair and Privacy-Aware EV Discharging Strategy using Decentralized Whale Optimization Algorithm. - Yingqi Gu; Mingming Liu 001 (CoRR, 2020)

Usage-Based Summaries of Learning Videos. - Hyowon Lee 001; Mingming Liu 001; Michael Scriney; Alan F. Smeaton (EC-TEL, 2021)

Optimal Distributed Bandwidth Allocation in NB-IoT Networks: Poster Abstract. - Hongde Wu; Zhengyong Chen; Noel E. O'Connor; Mingming Liu 001 (IoTDI, 2021)

A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes. - Zhengyong Chen; Hongde Wu; Noel E. O'Connor; Mingming Liu 001 (ITSC, 2021)

An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. - Beiran Chen; Mingming Liu 001; Yi Zhang; Zhengyong Chen; Yingqi Gu; Noel E. O'Connor (VTC Spring, 2021)

Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles. - Mingming Liu 001 (VTC Fall, 2021)

An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. - Hongde Wu; Noel E. O'Connor; Jennifer Bruton; Mingming Liu 001 (WF-IoT, 2021)

Attention Based Video Summaries of Live Online Zoom Classes. - Hyowon Lee 001; Mingming Liu 001; Hamza Riaz; Navaneethan Rajasekaren; Michael Scriney; Alan F. Smeaton (CoRR, 2021)

Optimal Distributed Bandwidth Allocation in NB-IoT Networks. - Hongde Wu; Zhengyong Chen; Noel E. O'Connor; Mingming Liu 001 (CoRR, 2021)

Fair and Privacy-Aware EV Discharging Strategy Using Decentralized Whale Optimization Algorithm for Minimizing Cost of EVs and the EV Aggregator. - Yingqi Gu; Mingming Liu 001 (IEEE Syst. J., 2021)

Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN. - Hoa X. Nguyen; Shaoshu Zhu; Mingming Liu 001 (CloudNet, 2022)

A Comparative Study on Energy Consumption Models for Drones. - Carlos Muli; Sangyoung Park; Mingming Liu 001 (GIOTS, 2022)

Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention. - Hongde Wu; Mingming Liu 001 (ITSC, 2022)

Parking Behaviour Analysis of Shared E-Bike Users Based on a Real-World Dataset - A Case Study in Dublin, Ireland. - Sen Yan; Mingming Liu 001; Noel E. O'Connor (VTC Spring, 2022)

An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning. - Aparajita Dey-Plissonneau; Hyowon Lee 001; Mingming Liu 001; Vyoma Patel; Michael Scriney; Alan F. Smeaton (CoRR, 2022)

Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning. - Alan F. Smeaton; Aparajita Dey-Plissonneau; Hyowon Lee 001; Mingming Liu 001; Michael Scriney (CoRR, 2022)

Playback-centric visualisations of video usage using weighted interactions to guide where to watch in an educational context. - Hyowon Lee 001; Mingming Liu 001; Michael Scriney; Alan F. Smeaton (CoRR, 2022)

A Survey on Graph Neural Networks for Microservice-Based Cloud Applications. - Hoa X. Nguyen; Shaoshu Zhu; Mingming Liu 001 (Sensors, 2022)

Real-Time Anomaly Detection for an ADMM-Based Optimal Transmission Frequency Management System for IoT Devices. - Hongde Wu; Noel E. O'Connor; Jennifer Bruton; Amy Hall; Mingming Liu 001 (Sensors, 2022)

MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. - Mingming Liu 001; Long Cheng 003; Yingqi Gu; Ying Wang 001; Qingzhi Liu; Noel E. O'Connor (IEEE Trans. Intell. Transp. Syst., 2022)

Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data. - Sen Yan; Shaoshu Zhu; Jaime B. Fernandez; Eric Arazo Sanchez; Yingqi Gu; Noel E. O'Connor; David O'Connor; Mingming Liu 001 (ITSC, 2023)

Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems. - Hongde Wu; Sen Yan; Mingming Liu 001 (CoRR, 2023)

A Review on AI Algorithms for Energy Management in E-Mobility Services. - Sen Yan; Maqsood Hussain Shah; Ji Li; Noel E. O'Connor; Mingming Liu 001 (CoRR, 2023)

Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning. - Sen Yan; Hongyuan Fang; Ji Li; Tomás Ward; Noel E. O'Connor; Mingming Liu 001 (CoRR, 2023)

Hierarchical Tree of Deep Networks (HTDN) for Joint Classification of Linear and Non-Linear Modulations. - Maqsood Hussain Shah; Xiaoyu Dang; Mingming Liu 001 (IS, 2024)

Synthetic Time Series for Anomaly Detection in Cloud Microservices. - Mohamed Allam; Noureddine Boujnah; Noel E. O'Connor; Mingming Liu 001 (LOD (1), 2024)

Optimal Design and Implementation of an Open-Source Emulation Platform for User-Centric Shared E-mobility Services. - Maqsood Hussain Shah; Yue Ding; Shaoshu Zhu; Yingqi Gu; Mingming Liu 001 (LOD (1), 2024)

Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset. - Yue Ding; Sen Yan; Maqsood Hussain Shah; Hongyuan Fang; Ji Li; Mingming Liu 001 (CoRR, 2024)

Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates. - Sen Yan; David J. O'Connor; Xiaojun Wang; Noel E. O'Connor; Alan F. Smeaton; Mingming Liu 001 (CoRR, 2024)

U-Park: A User-Centric Smart Parking Recommendation System for Electric Shared Micromobility Services. - Sen Yan; Noel E. O'Connor; Mingming Liu 001 (IEEE Trans. Artif. Intell., 2024)