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ORCIDHung T. Nguyen 0003
Person information
- affiliation: Princeton University, USA
- affiliation (former): Virginia Commonwealth University, Department of Computer Science, Richmond, VA, USA
Other persons with the same name
- Hung T. Nguyen — disambiguation page
- Hung T. Nguyen 0001
![[0000-0003-3373-8178]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3373-8178")
(aka: Hung Tan Nguyen 0001) — Swinburne University of Technology, Hawthorn, VIC, Australia (and 1 more) - Hung T. Nguyen 0002 — New Mexico State University, Las Cruces, Department of Mathematical Sciences, USA
- Hung T. Nguyen 0004 — Agricultural University of Hanoi, Section of Mathematics
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2020 – today
- 2023
[j8]Hung T. Nguyen, Pierre J. Liang, Leman Akoglu:
Detecting Anomalous Graphs in Labeled Multi-Graph Databases. ACM Trans. Knowl. Discov. Data 17(2): 16:1-16:25 (2023)- 2022
- [i14]Hung T. Nguyen, H. Vincent Poor, Mung Chiang:
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing. CoRR abs/2203.12738 (2022) - [i13]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Interference Cancellation GAN Framework for Dynamic Channels. CoRR abs/2208.08019 (2022) - 2021
- [j7]Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. IEEE J. Sel. Areas Commun. 39(1): 201-218 (2021) - [c14]Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu:
GAWD: graph anomaly detection in weighted directed graph databases. ASONAM 2021: 143-150 - [c13]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Adversarial Neural Networks for Error Correcting Codes. GLOBECOM 2021: 1-6 - [c12]Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang:
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. GLOBECOM 2021: 1-6 - [i12]Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang:
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. CoRR abs/2112.11485 (2021) - [i11]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Adversarial Neural Networks for Error Correcting Codes. CoRR abs/2112.11491 (2021) - 2020
- [j6]Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses. ACM Trans. Knowl. Discov. Data 14(5): 61:1-61:28 (2020) - [j5]Hung T. Nguyen, Alberto Cano, Tam Vu, Thang N. Dinh:
Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach. IEEE Trans. Knowl. Data Eng. 32(7): 1263-1275 (2020) - [i10]Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. CoRR abs/2007.13137 (2020) - [i9]Hung T. Nguyen, Pierre J. Liang, Leman Akoglu:
Anomaly Detection in Large Labeled Multi-Graph Databases. CoRR abs/2010.03600 (2020)
2010 – 2019
- 2019
- [c11]Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
Continual Rare-Class Recognition with Emerging Novel Subclasses. ECML/PKDD (2) 2019: 20-36 - [i8]Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
Continual Rare-Class Recognition with Emerging Novel Subclasses. CoRR abs/1906.12218 (2019) - 2018
- [c10]Hung T. Nguyen, Thang N. Dinh, My T. Thai:
Revisiting of 'Revisiting the Stop-and-Stare Algorithms for Influence Maximization'. CSoNet 2018: 273-285 - 2017
- [j4]Hung T. Nguyen, Nam P. Nguyen, Tam Vu, Huan X. Hoang, Thang N. Dinh:
Transitivity Demolition and the Fall of Social Networks. IEEE Access 5: 15913-15926 (2017) - [j3]Hung T. Nguyen, Tri P. Nguyen, Tam N. Vu, Thang N. Dinh:
Outward Influence and Cascade Size Estimation in Billion-scale Networks. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 20:1-20:30 (2017) - [j2]Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo, Thang N. Dinh:
Social Influence Spectrum at Scale: Near-Optimal Solutions for Multiple Budgets at Once. ACM Trans. Inf. Syst. 36(2): 14:1-14:26 (2017) - [j1]Hung T. Nguyen, My T. Thai, Thang N. Dinh:
A Billion-Scale Approximation Algorithm for Maximizing Benefit in Viral Marketing. IEEE/ACM Trans. Netw. 25(4): 2419-2429 (2017) - [c9]Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh:
Importance Sketching of Influence Dynamics in Billion-Scale Networks. ICDM 2017: 337-346 - [c8]Hung T. Nguyen, Tri P. Nguyen, Tam N. Vu, Thang N. Dinh:
Outward Influence and Cascade Size Estimation in Billion-scale Networks. SIGMETRICS (Abstracts) 2017: 63 - [i7]Hung T. Nguyen, Nam P. Nguyen, Tam N. Vu, Huan X. Hoang, Thang N. Dinh:
Transitivity Demolition and the Falls of Social Networks. CoRR abs/1702.01451 (2017) - [i6]Tri P. Nguyen, Hung T. Nguyen, Thang N. Dinh:
Towards Optimal Strategy for Adaptive Probing in Incomplete Networks. CoRR abs/1702.01452 (2017) - [i5]Hung T. Nguyen, Alberto Cano, Tam N. Vu, Thang N. Dinh:
Blocking Self-avoiding Walks Stops Cyber-epidemics: A Scalable GPU-based Approach. CoRR abs/1702.05854 (2017) - [i4]Hung T. Nguyen, Tri P. Nguyen, Tam N. Vu, Thang N. Dinh:
Outward Influence and Cascade Size Estimation in Billion-scale Networks. CoRR abs/1704.04794 (2017) - [i3]Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh:
Importance Sketching of Influence Dynamics in Billion-scale Networks. CoRR abs/1709.03565 (2017) - 2016
- [c7]Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo, Thang N. Dinh:
Multiple Infection Sources Identification with Provable Guarantees. CIKM 2016: 1663-1672 - [c6]Hung T. Nguyen, Thang N. Dinh, My T. Thai:
Cost-aware Targeted Viral Marketing in billion-scale networks. INFOCOM 2016: 1-9 - [c5]Hung T. Nguyen, Thang N. Dinh:
Targeted cyber-attacks: Unveiling target reconnaissance strategy via Social Networks. INFOCOM Workshops 2016: 288-293 - [c4]Hung T. Nguyen, My T. Thai, Thang N. Dinh:
Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks. SIGMOD Conference 2016: 695-710 - [i2]Hung T. Nguyen, My T. Thai, Thang N. Dinh:
Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks. CoRR abs/1605.07990 (2016) - [i1]Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo, Thang N. Dinh:
Multiple Infection Sources Identification with Provable Guarantees. CoRR abs/1608.06492 (2016) - 2015
- [c3]Thang N. Dinh, Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo:
Social Influence Spectrum with Guarantees: Computing More in Less Time. CSoNet 2015: 84-103 - [c2]Hung T. Nguyen, Thang N. Dinh, Tam Vu:
Community detection in multiplex social networks. INFOCOM Workshops 2015: 654-659 - [c1]Hung T. Nguyen, Thang N. Dinh:
Unveiling the structure of multi-attributed networks via joint non-negative matrix factorization. MILCOM 2015: 1379-1384
Coauthor Index
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