Thien Hang Nguyen

About me

I am a Ph.D. student at Khoury College of Computer Sciences at Northeastern University, where I started the Fall of 2020. I am very fortunate to be advised by Huy Le Nguyen. I am interested in optimization and machine learning. Before Khoury, I graduated from University of California, Irvine in 2020 with a B.S. in Computer Science and Engineering and a B.S. in Mathematics. In the Summer of 2019, I worked with Andrea Bertozzi at UCLA's REU program in Computational and Applied Mathematics.

Papers

* denotes equal contribution

  1. Efficient Adaptive Optimization via Subset-Norm and Subspace-Momentum: Fast, Memory-Reduced Training with Convergence Guarantees

    Thien Nguyen and Huy Nguyen.
    arXiv 2024.
    OPTML workshop version at NeurIPS24

  2. Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise

    Duy Nguyen*, Thien Nguyen*, Alina Ene, and Huy Nguyen.
    Neural Information Processing Systems, New Orleans. 2023. [Spotlight]

  3. High Probability Convergence of Clipped-SGD Under Heavy-tailed Noise

    Duy Nguyen*, Thien Nguyen*, Alina Ene, and Huy Nguyen.
    arXiv. 2023.

  4. High Probability Convergence of Stochastic Gradient Methods

    Zijian Liu*, Duy Nguyen*, Thien Nguyen*, Alina Ene, and Huy Nguyen.
    International Conference on Machine Learning, Honolulu. 2023.

  5. Improved Group Robustness via Classifier Retraining on Independent Splits

    Thien Nguyen, Hongyang Zhang, and Huy Le Nguyen.
    Transactions on Machine Learning Research. 2023.

  6. META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Function

    Zijian Liu*, Duy Nguyen*, Thien Nguyen*, Alina Ene, and Huy Nguyen.
    arXiv. 2022.

  7. Structural Equivalence in Subgraph Matching

    Dominic Yang, Yurun Ge, Thien Nguyen, Denali Molitor, Jacob D. Moorman, and Andrea L. Bertozzi.
    IEEE Transactions on Network Science and Engineering. 2022.

  8. Applications of Structural Equivalence to Subgraph Isomorphism on Multichannel Multigraphs

    Thien Nguyen, Dominic Yang, Yurun Ge, Hao Li, and Andrea Bertozzi.
    IEEE Big Data Conference, Los Angeles. Dec 9, 2019. [Oral Presentation]