Mingming Liu

73 papers B 2C 1Journal 46Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-Discriminator Generative Adversarial Network With Long-Tail Feature Capture for Extreme Scenarios in Human-Machine Shared Driving.
IEEE Trans. Intell. Transp. Syst.
Xu He, Ji Li, Chuan Hu, Mingming Liu, Hongming Xu
2026 J jnl
Explainable Graph Ensemble Learning for Multivariate Time Series Anomaly Detection in Cloud Microservice Architectures.
IEEE Trans. Cloud Comput.
Kevin O'Shea, Sen Yan, Ming Yu, Xianjuan Chen, Stefano Mauceri, Bhaskar Dhariyal, Lei Xu, Noel E. O'Connor, Mingming Liu
2026 J jnl
MLRDv2: A Dataset for Improving Micromobility Safety via Attention-Integrated Compact CNN Models.
SN Comput. Sci.
Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little
2025 B conf
A Comparative Study of Graph-Based Learning Methods for Multivariate Time-Series Anomaly Detection in Cloud Microservice Applications.
IJCNN
Ming Yu, Kevin O'Shea, Yihan Li, Sen Yan, Mingming Liu
2025 — conf
Enhancing Small Object Detection in Resource-Constrained ARAS Using Image Cropping and Slicing Techniques.
VISIGRAPP (3): VISAPP
Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little
2025 J jnl
Machine Learning in Micromobility: A Systematic Review of Datasets, Techniques, and Applications.
CoRR
Sen Yan, Chinmaya Kaundanya, Noel E. O'Connor, Suzanne Little, Mingming Liu
2024 J jnl
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates.
CoRR
Sen Yan, David J. O'Connor, Xiaojun Wang, Noel E. O'Connor, Alan F. Smeaton, Mingming Liu
2024 J jnl
Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset.
CoRR
Yue Ding, Sen Yan, Maqsood Hussain Shah, Hongyuan Fang, Ji Li, Mingming Liu
2024 — conf
Hierarchical Tree of Deep Networks (HTDN) for Joint Classification of Linear and Non-Linear Modulations.
IS
Maqsood Hussain Shah, Xiaoyu Dang, Mingming Liu
2024 — conf
Optimal Design and Implementation of an Open-Source Emulation Platform for User-Centric Shared E-mobility Services.
LOD (1)
Maqsood Hussain Shah, Yue Ding, Shaoshu Zhu, Yingqi Gu, Mingming Liu
2024 J jnl
Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services.
CoRR
Maqsood Hussain Shah, Yue Ding, Shaoshu Zhu, Yingqi Gu, Mingming Liu
2024 — conf
Synthetic Time Series for Anomaly Detection in Cloud Microservices.
LOD (1)
Mohamed Allam, Noureddine Boujnah, Noel E. O'Connor, Mingming Liu
2024 J jnl
Synthetic Time Series for Anomaly Detection in Cloud Microservices.
CoRR
Mohamed Allam, Noureddine Boujnah, Noel E. O'Connor, Mingming Liu
2024 J jnl
U-Park: A User-Centric Smart Parking Recommendation System for Electric Shared Micromobility Services.
IEEE Trans. Artif. Intell.
Sen Yan, Noel E. O'Connor, Mingming Liu
2024 C conf
Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition.
VEHITS
Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little
2023 J jnl
A Review on AI Algorithms for Energy Management in E-Mobility Services.
CoRR
Sen Yan, Maqsood Hussain Shah, Ji Li, Noel E. O'Connor, Mingming Liu
2023 — conf
Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data.
ITSC
Sen Yan, Shaoshu Zhu, Jaime B. Fernandez, Eric Arazo Sanchez, Yingqi Gu, Noel E. O'Connor, David O'Connor, Mingming Liu
2023 J jnl
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning.
CoRR
Sen Yan, Hongyuan Fang, Ji Li, Tomás Ward, Noel E. O'Connor, Mingming Liu
2023 J jnl
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems.
CoRR
Hongde Wu, Sen Yan, Mingming Liu
2022 — conf
A Comparative Study on Energy Consumption Models for Drones.
GIOTS
Carlos Muli, Sangyoung Park, Mingming Liu
2022 J jnl
A Comparative Study on Energy Consumption Models for Drones.
CoRR
Carlos Muli, Sangyoung Park, Mingming Liu
2022 J jnl
A Survey on Graph Neural Networks for Microservice-Based Cloud Applications.
Sensors
Hoa X. Nguyen, Shaoshu Zhu, Mingming Liu
2022 J jnl
An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning.
CoRR
Aparajita Dey-Plissonneau, Hyowon Lee, Mingming Liu, Vyoma Patel, Michael Scriney, Alan F. Smeaton
2022 J jnl
Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning.
CoRR
Alan F. Smeaton, Aparajita Dey-Plissonneau, Hyowon Lee, Mingming Liu, Michael Scriney
2022 — conf
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN.
CloudNet
Hoa X. Nguyen, Shaoshu Zhu, Mingming Liu
2022 J jnl
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN.
CoRR
Hoa X. Nguyen, Shaoshu Zhu, Mingming Liu
2022 — conf
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention.
ITSC
Hongde Wu, Mingming Liu
2022 J jnl
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention.
CoRR
Hongde Wu, Mingming Liu
2022 J jnl
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems.
IEEE Trans. Intell. Transp. Syst.
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
2022 — conf
Parking Behaviour Analysis of Shared E-Bike Users Based on a Real-World Dataset - A Case Study in Dublin, Ireland.
VTC Spring
Sen Yan, Mingming Liu, Noel E. O'Connor
2022 J jnl
Playback-centric visualisations of video usage using weighted interactions to guide where to watch in an educational context.
CoRR
Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton
2022 J jnl
Real-Time Anomaly Detection for an ADMM-Based Optimal Transmission Frequency Management System for IoT Devices.
Sensors
Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Amy Hall, Mingming Liu
2021 — conf
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes.
ITSC
Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu
2021 J jnl
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes.
CoRR
Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu
2021 — conf
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence.
WF-IoT
Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu
2021 J jnl
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence.
CoRR
Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu
2021 — conf
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm.
VTC Spring
Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor
2021 J jnl
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm.
CoRR
Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor
2021 J jnl
Attention Based Video Summaries of Live Online Zoom Classes.
CoRR
Hyowon Lee, Mingming Liu, Hamza Riaz, Navaneethan Rajasekaren, Michael Scriney, Alan F. Smeaton
2021 J jnl
Fair and Privacy-Aware EV Discharging Strategy Using Decentralized Whale Optimization Algorithm for Minimizing Cost of EVs and the EV Aggregator.
IEEE Syst. J.
Yingqi Gu, Mingming Liu
2021 — conf
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles.
VTC Fall
Mingming Liu
2021 J jnl
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles.
CoRR
Mingming Liu
2021 J jnl
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems.
CoRR
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
2021 J jnl
Optimal Distributed Bandwidth Allocation in NB-IoT Networks.
CoRR
Hongde Wu, Zhengyong Chen, Noel E. O'Connor, Mingming Liu
2021 — conf
Optimal Distributed Bandwidth Allocation in NB-IoT Networks: Poster Abstract.
IoTDI
Hongde Wu, Zhengyong Chen, Noel E. O'Connor, Mingming Liu
2021 B conf
Usage-Based Summaries of Learning Videos.
EC-TEL
Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton
2021 J jnl
Usage-based Summaries of Learning Videos.
CoRR
Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton
2020 J jnl
A Fair and Privacy-Aware EV Discharging Strategy using Decentralized Whale Optimization Algorithm.
CoRR
Yingqi Gu, Mingming Liu
2020 — conf
An Elastic IoT Device Management Platform.
GCAIoT
Rakesh Dhakshina Murthy, Mingming Liu
2020 J jnl
An Elastic IoT Device Management Platform.
CoRR
Rakesh Dhakshina Murthy, Mingming Liu
2020 — conf
Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks.
WF-IoT
Beiran Chen, Yi Zhang, George Iosifidis, Mingming Liu
2020 J jnl
Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks.
CoRR
Beiran Chen, Yi Zhang, George Iosifidis, Mingming Liu
2019 J jnl
A Distributed Markovian Parking Assist System.
IEEE Trans. Intell. Transp. Syst.
Mingming Liu, Joe Naoum-Sawaya, Yingqi Gu, Freddy Lécué, Robert Shorten
2018 J jnl
A New Take on Protecting Cyclists in Smart Cities.
IEEE Trans. Intell. Transp. Syst.
Adam Herrmann, Mingming Liu, Francesco Pilla, Robert Shorten
2018 J jnl
Bayesian Classifier for Route Prediction with Markov Chains.
CoRR
Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten
2018 — conf
Bayesian classifier for Route prediction with Markov chains.
ITSC
Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten
2018 — conf
Identification of New Patterns in Urban Traffic Flows.
CCTA
Yingqi Gu, Emanuele Crisostomi, Mingming Liu, Robert Shorten
2018 — conf
On the Design of an Intelligent Speed Advisory System for Cyclists.
ITSC
Yingqi Gu, Mingming Liu, Matheus Souza, Robert N. Shorten
2018 J jnl
On the Design of an Intelligent Speed Advisory System for Cyclists.
CoRR
Yingqi Gu, Mingming Liu, Matheus Souza, Robert Shorten
2018 J jnl
Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles.
IEEE Trans. Intell. Transp. Syst.
Yingqi Gu, Mingming Liu, Joe Naoum-Sawaya, Emanuele Crisostomi, Giovanni Russo, Robert Shorten
2017 J jnl
On the stability and convergence of a class of consensus systems with a nonlinear input.
Autom.
Mingming Liu, Fabian Wirth, Martin J. Corless, Robert Shorten
2017 J jnl
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-In Hybrid Electric Buses.
IEEE Trans Autom. Sci. Eng.
Joe Naoum-Sawaya, Emanuele Crisostomi, Mingming Liu, Yingqi Gu, Robert Shorten
2016 J jnl
A Distributed and Privacy-Aware Speed Advisory System for Optimizing Conventional and Electric Vehicle Networks.
IEEE Trans. Intell. Transp. Syst.
Mingming Liu, Rodrigo H. Ordóñez-Hurtado, Fabian R. Wirth, Yingqi Gu, Emanuele Crisostomi, Robert Shorten
2016 J jnl
Pedestrian-Aware Engine Management Strategies for Plug-in Hybrid Electric Vehicles.
CoRR
Yingqi Gu, Mingming Liu, Joe Naoum-Sawaya, Emanuele Crisostomi, Giovanni Russo, Robert Shorten
2016 J jnl
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-in Hybrid Electric Buses.
CoRR
Joe Naoum-Sawaya, Emanuele Crisostomi, Mingming Liu, Yingqi Gu, Robert Shorten
2015 J jnl
A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks.
CoRR
Mingming Liu, Rodrigo H. Ordóñez-Hurtado, Fabian Wirth, Yingqi Gu, Emanuele Crisostomi, Robert Shorten
2015 — conf
An intelligent speed advisory system for electric vehicles.
ICCVE
Mingming Liu, Rodrigo H. Ordóñez-Hurtado, Fabian R. Wirth, Yingqi Gu, Emanuele Crisostomi, Robert Shorten
2015 J jnl
On global convergence of consensus with nonlinear feedback, the Lure problem, and some applications.
CoRR
Mingming Liu, Fabian Wirth, Martin J. Corless, Robert Shorten
2014 — conf
Optimised consensus for highway speed limits via intelligent speed advisory systems.
ICCVE
Yingqi Gu, Mingming Liu, Emanuele Crisostomi, Robert Shorten
2014 J jnl
Plug-and-Play Distributed Algorithms for Optimized Power Generation in a Microgrid.
IEEE Trans. Smart Grid
Emanuele Crisostomi, Mingming Liu, Marco Raugi, Robert Shorten
2013 — conf
Applying a QoS-based fleet dimension method to reduce fleet emissions.
ICCVE
Mingming Liu, Wynita M. Griggs, Christopher K. King, Fabian Wirth, Paul Borrel, Robert Shorten
2013 — conf
Fair charging strategies for EVs connected to a low-voltage distribution network.
ISGT Europe
Mingming Liu, Paul McNamara, Seán F. McLoone
2013 — conf
Optimal distributed power generation for thermal and electrical scheduling in a microgrid.
ISGT Europe
Mingming Liu, Emanuele Crisostomi, Marco Raugi, Robert Shorten