Hung T. Nguyen

Princeton University Postdoctoral Research Associate, Department of Electrical and Computer Engineering.

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William St.

Princeton, NJ 08544

I am currently a Postdoctoral Research Associate at Princeton University, working with Professors H. Vincent Poor and Mung Chiang on various topics spanning distributed machine learning algorithms and signal processing. Before Princeton, I obtained my Ph.D. in Computer Science advised by Professor Thang N. Dinh from Virginia Commonwealth University in 2018 and then spent a year as a Postdoctoral Fellow at Carnegie Mellon University working with Professor Leman Akoglu on graph mining and anomaly detection with applications in finance.

Research Interests:

  • Decentralized Optimization
  • Machine Learning
  • Digital Signal Processing
  • Large-scale Graph Mining
  • Social Network Analysis
  • Combinatorial Optimizations
  • Approximation Algorithms

news

Jul 29, 2019 Started my 2nd Postdoc at Princeton.
Aug 23, 2018 Started my Postdoc at CMU.

selected publications

  1. SIGMOD
    Stop-and-stare: Optimal sampling algorithms for viral marketing in billion-scale networks
    Nguyen, Hung T., Thai, My T., and Dinh, Thang N.
    In ACM International Conference on Management of Data 2016
  2. SIGMETRICS
    Outward Influence and Cascade Size Estimation in Billion-scale Networks
    Nguyen, Hung T., Nguyen, Tri P., Vu, Tam N., and Dinh, Thang N.
    In ACM International Conference on Measurement and Modeling of Computer Systems 2017
  3. TKDE
    Blocking self-avoiding walks stops cyber-epidemics: a scalable gpu-based approach
    Nguyen, Hung T., Cano, Alberto, Vu, Tam, and Dinh, Thang N.
    IEEE Transactions on Knowledge and Data Engineering 2019
  4. TKDD
    End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses
    Nguyen, Hung T., Wang, Xuejian, and Akoglu, Leman
    ACM Transactions on Knowledge Discovery from Data 2020
  5. JSAC
    Fast-convergent federated learning
    Nguyen, Hung T., Sehwag, Vikash, Hosseinalipour, Seyyedali, Brinton, Christopher G., Chiang, Mung, and Poor, H. Vincent
    IEEE Journal on Selected Areas in Communications 2020
  6. GLOBECOM
    Adversarial Neural Networks for Error Correcting Codes
    Nguyen, Hung T., Bottone, Steven, Kim, Kwang T., Chiang, Mung, and Poor, H. Vincent
    In IEEE Global Communications Conference 2021