Social Influence Spectrum with Guarantees: Computing More in Less Time. - Thang N. Dinh; Hung T. Nguyen 003; Preetam Ghosh; Michael L. Mayo (CSoNet, 2015)

Community detection in multiplex social networks. - Hung T. Nguyen 003; Thang N. Dinh; Tam Vu 001 (INFOCOM Workshops, 2015)

Unveiling the structure of multi-attributed networks via joint non-negative matrix factorization. - Hung T. Nguyen 003; Thang N. Dinh (MILCOM, 2015)

Multiple Infection Sources Identification with Provable Guarantees. - Hung T. Nguyen 003; Preetam Ghosh; Michael L. Mayo; Thang N. Dinh (CIKM, 2016)

Targeted cyber-attacks: Unveiling target reconnaissance strategy via Social Networks. - Hung T. Nguyen 003; Thang N. Dinh (INFOCOM Workshops, 2016)

Cost-aware Targeted Viral Marketing in billion-scale networks. - Hung T. Nguyen 003; Thang N. Dinh; My T. Thai (INFOCOM, 2016)

Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks. - Hung T. Nguyen 003; My T. Thai; Thang N. Dinh (SIGMOD Conference, 2016)

Importance Sketching of Influence Dynamics in Billion-Scale Networks. - Hung T. Nguyen 003; Tri P. Nguyen; NhatHai Phan; Thang N. Dinh (ICDM, 2017)

Transitivity Demolition and the Fall of Social Networks. - Hung T. Nguyen 003; Nam P. Nguyen; Tam Vu 001; Huan X. Hoang; Thang N. Dinh (IEEE Access, 2017)

Towards Optimal Strategy for Adaptive Probing in Incomplete Networks. - Tri P. Nguyen; Hung T. Nguyen 003; Thang N. Dinh (CoRR, 2017)

Transitivity Demolition and the Falls of Social Networks. - Hung T. Nguyen 003; Nam P. Nguyen; Tam N. Vu; Huan X. Hoang; Thang N. Dinh (CoRR, 2017)

Outward Influence and Cascade Size Estimation in Billion-scale Networks. - Hung T. Nguyen 003; Tri P. Nguyen; Tam N. Vu; Thang N. Dinh (Proc. ACM Meas. Anal. Comput. Syst., 2017)

Social Influence Spectrum at Scale: Near-Optimal Solutions for Multiple Budgets at Once. - Hung T. Nguyen 003; Preetam Ghosh; Michael L. Mayo; Thang N. Dinh (ACM Trans. Inf. Syst., 2017)

A Billion-Scale Approximation Algorithm for Maximizing Benefit in Viral Marketing. - Hung T. Nguyen 003; My T. Thai; Thang N. Dinh (IEEE/ACM Trans. Netw., 2017)

Revisiting of 'Revisiting the Stop-and-Stare Algorithms for Influence Maximization'. - Hung T. Nguyen 003; Thang N. Dinh; My T. Thai (CSoNet, 2018)

Continual Rare-Class Recognition with Emerging Novel Subclasses. - Hung T. Nguyen 003; Xuejian Wang; Leman Akoglu (ECML/PKDD (2), 2019)

Anomaly Detection in Large Labeled Multi-Graph Databases. - Hung T. Nguyen 003; Pierre J. Liang; Leman Akoglu (CoRR, 2020)

End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses. - Hung T. Nguyen 003; Xuejian Wang; Leman Akoglu (ACM Trans. Knowl. Discov. Data, 2020)

Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach. - Hung T. Nguyen 003; Alberto Cano 001; Tam Vu 001; Thang N. Dinh (IEEE Trans. Knowl. Data Eng., 2020)

GAWD: graph anomaly detection in weighted directed graph databases. - Meng-Chieh Lee; Hung T. Nguyen 003; Dimitris Berberidis; Vincent S. Tseng; Leman Akoglu (ASONAM, 2021)

Adversarial Neural Networks for Error Correcting Codes. - Hung T. Nguyen 003; Steven Bottone; Kwang Taik Kim; Mung Chiang; H. Vincent Poor (GLOBECOM, 2021)

On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. - Hung T. Nguyen 003; Roberto Morabito; Kwang Taik Kim; Mung Chiang (GLOBECOM, 2021)

Fast-Convergent Federated Learning. - Hung T. Nguyen 003; Vikash Sehwag; Seyyedali Hosseinalipour; Christopher G. Brinton; Mung Chiang; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2021)

Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing. - Hung T. Nguyen 003; H. Vincent Poor; Mung Chiang (CoRR, 2022)

Interference Cancellation GAN Framework for Dynamic Channels. - Hung T. Nguyen 003; Steven Bottone; Kwang Taik Kim; Mung Chiang; H. Vincent Poor (CoRR, 2022)

Detecting Anomalous Graphs in Labeled Multi-Graph Databases. - Hung T. Nguyen 003; Pierre J. Liang; Leman Akoglu (ACM Trans. Knowl. Discov. Data, 2023)