Hung T. Nguyen

Orcid: 0000-0002-3463-7232

Affiliations:
  • Princeton University, USA
  • Virginia Commonwealth University, Department of Computer Science, Richmond, VA, USA (former)


According to our database1, Hung T. Nguyen authored at least 26 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Detecting Anomalous Graphs in Labeled Multi-Graph Databases.
ACM Trans. Knowl. Discov. Data, February, 2023

2022
Interference Cancellation GAN Framework for Dynamic Channels.
CoRR, 2022

Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing.
CoRR, 2022

2021
Fast-Convergent Federated Learning.
IEEE J. Sel. Areas Commun., 2021

On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge.
Proceedings of the IEEE Global Communications Conference, 2021

Adversarial Neural Networks for Error Correcting Codes.
Proceedings of the IEEE Global Communications Conference, 2021

GAWD: graph anomaly detection in weighted directed graph databases.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach.
IEEE Trans. Knowl. Data Eng., 2020

End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses.
ACM Trans. Knowl. Discov. Data, 2020

Anomaly Detection in Large Labeled Multi-Graph Databases.
CoRR, 2020

2019
Continual Rare-Class Recognition with Emerging Novel Subclasses.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Revisiting of 'Revisiting the Stop-and-Stare Algorithms for Influence Maximization'.
Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018

2017
A Billion-Scale Approximation Algorithm for Maximizing Benefit in Viral Marketing.
IEEE/ACM Trans. Netw., 2017

Social Influence Spectrum at Scale: Near-Optimal Solutions for Multiple Budgets at Once.
ACM Trans. Inf. Syst., 2017

Outward Influence and Cascade Size Estimation in Billion-scale Networks.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Transitivity Demolition and the Falls of Social Networks.
CoRR, 2017

Towards Optimal Strategy for Adaptive Probing in Incomplete Networks.
CoRR, 2017

Transitivity Demolition and the Fall of Social Networks.
IEEE Access, 2017

Importance Sketching of Influence Dynamics in Billion-Scale Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks.
Proceedings of the 2016 International Conference on Management of Data, 2016

Cost-aware Targeted Viral Marketing in billion-scale networks.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Targeted cyber-attacks: Unveiling target reconnaissance strategy via Social Networks.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Multiple Infection Sources Identification with Provable Guarantees.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Unveiling the structure of multi-attributed networks via joint non-negative matrix factorization.
Proceedings of the 34th IEEE Military Communications Conference, 2015

Community detection in multiplex social networks.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

Social Influence Spectrum with Guarantees: Computing More in Less Time.
Proceedings of the Computational Social Networks - 4th International Conference, 2015


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