Mingming Liu | DeepAI

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Featured Co-authors

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Mengting Hu
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∙ 06/02/2023

Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems

The Intelligent Transportation System (ITS) is an important part of mode...

0 Hongde Wu, et al. ∙

∙ 09/14/2022

Classical Sequence Match is a Competitive Few-Shot One-Class Learner

Nowadays, transformer-based models gradually become the default choice f...

0 Mengting Hu, et al. ∙

∙ 09/06/2022

Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN

Microservice-based architecture has become prevalent for cloud-native ap...

0 Hoa X. Nguyen, et al. ∙

∙ 07/26/2022

Playback-centric visualisations of video usage using weighted interactions to guide where to watch in an educational context

The increase in use of online educational tools has led to a large amoun...

0 Hyowon Lee, et al. ∙

∙ 07/02/2022

Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention

Nowadays, intelligent highway traffic network is playing an important ro...

0 Hongde Wu, et al. ∙

∙ 06/28/2022

Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning

Second language learning can be enabled by tandem collaboration where st...

1 Alan F. Smeaton, et al. ∙

∙ 05/30/2022

A Comparative Study on Energy Consumption Models for Drones

Creating an appropriate energy consumption prediction model is becoming ...

0 Carlos Muli, et al. ∙

∙ 04/21/2022

An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning

Tandem telecollaboration is a pedagogy used in second language learning ...

0 Aparajita Dey-Plissonneau, et al. ∙

∙ 08/12/2021

Statistical Learning using Sparse Deep Neural Networks in Empirical Risk Minimization

We consider a sparse deep ReLU network (SDRN) estimator obtained from em...

0 Shujie Ma, et al. ∙

∙ 08/05/2021

Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles

Recently, there has been an increasing interest in the roll-out of elect...

0 Mingming Liu, et al. ∙

∙ 06/25/2021

Usage-based Summaries of Learning Videos

Much of the delivery of University education is now by synchronous or as...

0 Hyowon Lee, et al. ∙

∙ 04/21/2021

A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes

Accurately forecasting transportation demand is crucial for efficient ur...

0 Zhengyong Chen, et al. ∙

∙ 03/10/2021

A fusion learning method to subgroup analysis for longitudinal trajectories

Uncovering the heterogeneity in the disease progression of Alzheimer's i...

0 Mingming Liu, et al. ∙

∙ 01/15/2021

Attention Based Video Summaries of Live Online Zoom Classes

This paper describes a system developed to help University students get ...

27 Hyowon Lee, et al. ∙

∙ 10/12/2020

An Elastic IoT Device Management Platform

With the recent advancement of technologies over the past year, IoT has ...

0 Rakesh Dhakshina Murthy, et al. ∙

∙ 10/10/2020

Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks

Wireless networks used for Internet of Things (IoT) are expected to larg...

16 Beiran Chen, et al. ∙

∙ 08/31/2018

Bayesian Classifier for Route Prediction with Markov Chains

We present here a general framework and a specific algorithm for predict...

0 Jonathan P. Epperlein, et al. ∙

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