Dai Hoang Tran

Orcid: 0000-0003-0636-377X

According to our database1, Dai Hoang Tran authored at least 22 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
HeteGraph: graph learning in recommender systems via graph convolutional networks.
Neural Comput. Appl., June, 2023

CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation.
World Wide Web (WWW), March, 2023

2022
Deep Conversational Recommender Systems: Challenges and Opportunities.
Computer, 2022

2021
Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

BERTDeep-Ware: A Cross-architecture Malware Detection Solution for IoT Systems.
Proceedings of the 20th IEEE International Conference on Trust, 2021

A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems.
CoRR, 2020

BERT-CoQAC: BERT-Based Conversational Question Answering in Context.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

A Behavioural Network Traffic Novelty Detection for the Internet of Things Infrastructures.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The 10 Research Topics in the Internet of Things.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

2018
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis.
Proceedings of the Australasian Conference on Information Systems, 2018

2017
OaaS: offload as a service in fog networks.
Computing, 2017

2016
How Geo-Distributed Data Centers Do Demand Response: A Game-Theoretic Approach.
IEEE Trans. Smart Grid, 2016

2015
Prediction-based energy policy for mobile virtual desktop infrastructure in a cloud environment.
Inf. Sci., 2015

Toward service selection game in a heterogeneous market cloud computing.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

A general and practical consolidation framework in CloudNFV.
Proceedings of the 2015 International Conference on Information Networking, 2015

HiLiCLoud: High performance and lightweight mobile cloud infrastructure for monitor and benchmark services.
Proceedings of the 17th Asia-Pacific Network Operations and Management Symposium, 2015

2014
Load balancing and pricing for spectrum access control in cognitive radio networks.
Proceedings of the IEEE Global Communications Conference, 2014

A performance comparison of in-memory Virtual Desktop Environment.
Proceedings of the 16th Asia-Pacific Network Operations and Management Symposium, 2014

Optimal resource allocation for multimedia application in single and multiple cloud computing service providers.
Proceedings of the 16th Asia-Pacific Network Operations and Management Symposium, 2014


  Loading...