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ORCIDMingming Liu 0001
Person information
- affiliation: Dublin City University, School of Electronic Engineering, Dublin, Ireland
Other persons with the same name
- Mingming Liu (aka: MingMing Liu, Ming-ming Liu, Ming-Ming Liu) — disambiguation page
- Mingming Liu 0002
![[0000-0002-6965-1499]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6965-1499")
— University of Chinese Academy of Sciences, Department of Psychology, Beijing, China - Mingming Liu 0003 — Shanghai Jiao Tong University, Shanghai, China (and 1 more)
- Mingming Liu 0004 — Nanjing University, National Key Lab for Novel Software Technology, Nanjing, China
- Mingming Liu 0005 — Chinese Academy of Sciences, State Key Laboratory of Geodesy and Earth's Dynamics, Wuhan, China
- Mingming Liu 0006 — Virginia Polytechnic Institute and State University, Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
- Mingming Liu 0007 — Lenovo Research, Technical Strategy and Innovation Platform, Beijing, China (and 1 more)
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2020 – today
- 2024
[j12]Sen Yan, Noel E. O'Connor, Mingming Liu:
U-Park: A User-Centric Smart Parking Recommendation System for Electric Shared Micromobility Services. IEEE Trans. Artif. Intell. 5(10): 5179-5193 (2024)- [c22]Maqsood Hussain Shah, Xiaoyu Dang, Mingming Liu:
Hierarchical Tree of Deep Networks (HTDN) for Joint Classification of Linear and Non-Linear Modulations. IS 2024: 1-7 - [i29]Maqsood Hussain Shah, Yue Ding, Shaoshu Zhu, Yingqi Gu, Mingming Liu:
Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services. CoRR abs/2403.07964 (2024) - [i28]Yue Ding, Sen Yan, Maqsood Hussain Shah, Hongyuan Fang, Ji Li, Mingming Liu:
Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset. CoRR abs/2403.17632 (2024) - [i27]Mohamed Allam, Noureddine Boujnah, Noel E. O'Connor, Mingming Liu:
Synthetic Time Series for Anomaly Detection in Cloud Microservices. CoRR abs/2408.00006 (2024) - 2023
- [c21]Sen Yan, Shaoshu Zhu, Jaime B. Fernandez, Eric Arazo Sanchez, Yingqi Gu, Noel E. O'Connor, David O'Connor, Mingming Liu:
Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data. ITSC 2023: 5496-5503 - [i26]Hongde Wu, Sen Yan, Mingming Liu:
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems. CoRR abs/2306.01282 (2023) - [i25]Sen Yan, Maqsood Hussain Shah, Ji Li, Noel E. O'Connor, Mingming Liu:
A Review on AI Algorithms for Energy Management in E-Mobility Services. CoRR abs/2309.15140 (2023) - [i24]Sen Yan, Hongyuan Fang, Ji Li, Tomás Ward, Noel E. O'Connor, Mingming Liu:
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning. CoRR abs/2312.07371 (2023) - 2022
- [j11]Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Amy Hall, Mingming Liu:
Real-Time Anomaly Detection for an ADMM-Based Optimal Transmission Frequency Management System for IoT Devices. Sensors 22(16): 5945 (2022) - [j10]Hoa X. Nguyen, Shaoshu Zhu, Mingming Liu:
A Survey on Graph Neural Networks for Microservice-Based Cloud Applications. Sensors 22(23): 9492 (2022) - [j9]Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor:
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. IEEE Trans. Intell. Transp. Syst. 23(6): 5887-5893 (2022) - [c20]Hoa X. Nguyen, Shaoshu Zhu, Mingming Liu:
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN. CloudNet 2022: 237-241 - [c19]Carlos Muli, Sangyoung Park, Mingming Liu:
A Comparative Study on Energy Consumption Models for Drones. GIOTS 2022: 199-210 - [c18]Hongde Wu, Mingming Liu:
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention. ITSC 2022: 4138-4144 - [c17]Sen Yan, Mingming Liu, Noel E. O'Connor:
Parking Behaviour Analysis of Shared E-Bike Users Based on a Real-World Dataset - A Case Study in Dublin, Ireland. VTC Spring 2022: 1-6 - [i23]Aparajita Dey-Plissonneau, Hyowon Lee, Mingming Liu, Vyoma Patel, Michael Scriney, Alan F. Smeaton:
An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning. CoRR abs/2204.10393 (2022) - [i22]Carlos Muli, Sangyoung Park, Mingming Liu:
A Comparative Study on Energy Consumption Models for Drones. CoRR abs/2206.01609 (2022) - [i21]Alan F. Smeaton, Aparajita Dey-Plissonneau, Hyowon Lee, Mingming Liu, Michael Scriney:
Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning. CoRR abs/2206.13965 (2022) - [i20]Hongde Wu, Mingming Liu:
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention. CoRR abs/2207.00824 (2022) - [i19]Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton:
Playback-centric visualisations of video usage using weighted interactions to guide where to watch in an educational context. CoRR abs/2207.12903 (2022) - [i18]Hoa X. Nguyen, Shaoshu Zhu, Mingming Liu:
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN. CoRR abs/2209.02551 (2022) - 2021
- [j8]Yingqi Gu, Mingming Liu:
Fair and Privacy-Aware EV Discharging Strategy Using Decentralized Whale Optimization Algorithm for Minimizing Cost of EVs and the EV Aggregator. IEEE Syst. J. 15(4): 5571-5582 (2021) - [c16]Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton:
Usage-Based Summaries of Learning Videos. EC-TEL 2021: 414-418 - [c15]Hongde Wu, Zhengyong Chen, Noel E. O'Connor, Mingming Liu:
Optimal Distributed Bandwidth Allocation in NB-IoT Networks: Poster Abstract. IoTDI 2021: 259-260 - [c14]Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu:
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes. ITSC 2021: 1299-1305 - [c13]Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor:
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. VTC Spring 2021: 1-6 - [c12]Mingming Liu:
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles. VTC Fall 2021: 1-7 - [c11]Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu:
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. WF-IoT 2021: 217-222 - [i17]Hyowon Lee, Mingming Liu, Hamza Riaz, Navaneethan Rajasekaren, Michael Scriney, Alan F. Smeaton:
Attention Based Video Summaries of Live Online Zoom Classes. CoRR abs/2101.06328 (2021) - [i16]Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor:
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. CoRR abs/2101.06451 (2021) - [i15]Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor:
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. CoRR abs/2103.00548 (2021) - [i14]Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu:
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. CoRR abs/2104.07614 (2021) - [i13]Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu:
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes. CoRR abs/2104.10644 (2021) - [i12]Hongde Wu, Zhengyong Chen, Noel E. O'Connor, Mingming Liu:
Optimal Distributed Bandwidth Allocation in NB-IoT Networks. CoRR abs/2105.09460 (2021) - [i11]Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton:
Usage-based Summaries of Learning Videos. CoRR abs/2106.13504 (2021) - [i10]Mingming Liu:
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles. CoRR abs/2108.04036 (2021) - 2020
- [c10]Rakesh Dhakshina Murthy, Mingming Liu:
An Elastic IoT Device Management Platform. GCAIoT 2020: 1-6 - [c9]Beiran Chen, Yi Zhang, George Iosifidis, Mingming Liu:
Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks. WF-IoT 2020: 1-6 - [i9]Yingqi Gu, Mingming Liu:
A Fair and Privacy-Aware EV Discharging Strategy using Decentralized Whale Optimization Algorithm. CoRR abs/2004.05280 (2020) - [i8]Beiran Chen, Yi Zhang, George Iosifidis, Mingming Liu:
Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks. CoRR abs/2010.05024 (2020) - [i7]Rakesh Dhakshina Murthy, Mingming Liu:
An Elastic IoT Device Management Platform. CoRR abs/2010.06062 (2020)
2010 – 2019
- 2019
- [j7]Mingming Liu, Joe Naoum-Sawaya, Yingqi Gu, Freddy Lécué, Robert Shorten:
A Distributed Markovian Parking Assist System. IEEE Trans. Intell. Transp. Syst. 20(6): 2230-2240 (2019) - 2018
- [j6]Yingqi Gu, Mingming Liu, Joe Naoum-Sawaya, Emanuele Crisostomi, Giovanni Russo, Robert Shorten:
Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 19(1): 92-101 (2018) - [j5]Adam Herrmann, Mingming Liu, Francesco Pilla, Robert Shorten:
A New Take on Protecting Cyclists in Smart Cities. IEEE Trans. Intell. Transp. Syst. 19(12): 3992-3999 (2018) - [c8]Yingqi Gu, Emanuele Crisostomi, Mingming Liu, Robert Shorten:
Identification of New Patterns in Urban Traffic Flows. CCTA 2018: 626-631 - [c7]Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten:
Bayesian classifier for Route prediction with Markov chains. ITSC 2018: 677-682 - [c6]Yingqi Gu, Mingming Liu, Matheus Souza, Robert N. Shorten:
On the Design of an Intelligent Speed Advisory System for Cyclists. ITSC 2018: 3892-3897 - [i6]Yingqi Gu, Mingming Liu, Matheus Souza, Robert Shorten:
On the Design of an Intelligent Speed Advisory System for Cyclists. CoRR abs/1804.08282 (2018) - [i5]Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten:
Bayesian Classifier for Route Prediction with Markov Chains. CoRR abs/1808.10705 (2018) - 2017
- [j4]Mingming Liu, Fabian Wirth, Martin J. Corless, Robert Shorten:
On the stability and convergence of a class of consensus systems with a nonlinear input. Autom. 86: 205-211 (2017) - [j3]Joe Naoum-Sawaya, Emanuele Crisostomi, Mingming Liu, Yingqi Gu, Robert Shorten:
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-In Hybrid Electric Buses. IEEE Trans Autom. Sci. Eng. 14(2): 598-607 (2017) - 2016
- [j2]Mingming Liu, Rodrigo H. Ordóñez-Hurtado, Fabian R. Wirth, Yingqi Gu, Emanuele Crisostomi, Robert Shorten:
A Distributed and Privacy-Aware Speed Advisory System for Optimizing Conventional and Electric Vehicle Networks. IEEE Trans. Intell. Transp. Syst. 17(5): 1308-1318 (2016) - [i4]Joe Naoum-Sawaya, Emanuele Crisostomi, Mingming Liu, Yingqi Gu, Robert Shorten:
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-in Hybrid Electric Buses. CoRR abs/1603.01845 (2016) - [i3]Yingqi Gu, Mingming Liu, Joe Naoum-Sawaya, Emanuele Crisostomi, Giovanni Russo, Robert Shorten:
Pedestrian-Aware Engine Management Strategies for Plug-in Hybrid Electric Vehicles. CoRR abs/1612.07568 (2016) - 2015
- [c5]Mingming Liu, Rodrigo H. Ordóñez-Hurtado, Fabian R. Wirth, Yingqi Gu, Emanuele Crisostomi, Robert Shorten:
An intelligent speed advisory system for electric vehicles. ICCVE 2015: 84-88 - [i2]Mingming Liu, Fabian Wirth, Martin J. Corless, Robert Shorten:
On global convergence of consensus with nonlinear feedback, the Lure problem, and some applications. CoRR abs/1506.01430 (2015) - [i1]Mingming Liu, Rodrigo H. Ordóñez-Hurtado, Fabian Wirth, Yingqi Gu, Emanuele Crisostomi, Robert Shorten:
A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks. CoRR abs/1506.01436 (2015) - 2014
- [j1]Emanuele Crisostomi, Mingming Liu, Marco Raugi, Robert Shorten:
Plug-and-Play Distributed Algorithms for Optimized Power Generation in a Microgrid. IEEE Trans. Smart Grid 5(4): 2145-2154 (2014) - [c4]Yingqi Gu, Mingming Liu, Emanuele Crisostomi, Robert Shorten:
Optimised consensus for highway speed limits via intelligent speed advisory systems. ICCVE 2014: 1052-1053 - 2013
- [c3]Mingming Liu, Wynita M. Griggs, Christopher K. King, Fabian Wirth, Paul Borrel, Robert Shorten:
Applying a QoS-based fleet dimension method to reduce fleet emissions. ICCVE 2013: 732-733 - [c2]Mingming Liu, Emanuele Crisostomi, Marco Raugi, Robert Shorten:
Optimal distributed power generation for thermal and electrical scheduling in a microgrid. ISGT Europe 2013: 1-5 - [c1]Mingming Liu, Paul McNamara, Seán F. McLoone:
Fair charging strategies for EVs connected to a low-voltage distribution network. ISGT Europe 2013: 1-5
Coauthor Index
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