activity
20172021
most citedMultiview Deep Learning for Predicting Twitter Users' Location

32 citations · 34 across the 5 of their papers we have counts for

collaborators

13 papers

eess.SY2021

Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning

Ran Zhang, Duc Minh, Nguyen +4

In this chapter, the regulation of Unmanned Aerial Vehicle (UAV) communication network is investigated in the presence of dynamic changes in the UAV lineup and user distribution. W…

cs.AI2020

Temporal Collaborative Filtering with Graph Convolutional Neural Networks

Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis

Temporal collaborative filtering (TCF) methods aim at modelling non-static aspects behind recommender systems, such as the dynamics in users' preferences and social trends around i…

stat.AP2020

Modeling and Analysis of Dynamic Charging for EVs: A Stochastic Geometry Approach

Duc Minh Nguyen, Mustafa A. Kishk, Mohamed-Slim Alouini

With the increasing demand for greener and more energy efficient transportation solutions, electric vehicles (EVs) have emerged to be the future of transportation across the globe.…

cs.LG2020

Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization

Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis +2

Graph convolutional neural networks (GCNNs) have received much attention recently, owing to their capability in handling graph-structured data. Among the existing GCNNs, many metho…

cs.SI20192 cited

Rumour Detection via News Propagation Dynamics and User Representation Learning

Tien Huu Do, Xiao Luo, Duc Minh Nguyen +1

Rumours have existed for a long time and have been known for serious consequences. The rapid growth of social media platforms has multiplied the negative impact of rumours; it thus…

cs.LG2019

Geometric Matrix Completion with Deep Conditional Random Fields

Duc Minh Nguyen, Robert Calderbank, Nikos Deligiannis

The problem of completing high-dimensional matrices from a limited set of observations arises in many big data applications, especially, recommender systems. Existing matrix comple…