Publications

List of my publications and preprints

Journal and Preprints

  1. A Local Polyak-łOjasiewicz and Descent Lemma of Gradient Descent for Overparameterized Linear Models
    Z. Xu, H. Min, S. Tarmoun, E. Mallada, and R. Vidal
    Transactions on Machine Learning Research (TMLR), 2025 Abs arXiv PDF
  2. A Frequency Domain Analysis of Slow Coherency in Networked Systems
    H. MinR. Pates, and E. Mallada
    Automatica, 2025 Abs arXiv Bib
  3. Oscillations-aware Frequency Security Assessment via Efficient Worst-case Frequency Nadir Computation
    Y. JiangH. Min, and B. Zhang
    Electric Power Systems Research (EPSR), 2024 Abs arXiv Bib PDF
  4. Learning to Act Safely with Limited Exposure and Almost Sure Certainty
    IEEE Transactions on Automatic Control (TAC), 2023 Abs Bib PDF
  5. Convergence and Implicit Bias of Gradient Flow on Overparametrized Linear Networks
    H. Min, S. Tarmoun, R. Vidal, and E. Mallada
    2023 arXiv PDF
  6. Accurate Reduced Order Models for Coherent Heterogeneous Generators
    H. Min, F. Paganini, and E. Mallada
    IEEE Control Systems Letters (L-CSS), 2021 Abs arXiv Bib PDF Slides

Conference

  1. Understanding Incremental Learning with Closed-form Solution to Gradient Flow on Overparamerterized Matrix Factorization
    H. Min, and R. Vidal
    IEEE Conference on Decision and Control (CDC), 2025 Abs arXiv Bib PDF
  2. Voyaging into Perpetual Dynamic Scenes from a Single View
    F. TianT. DingJ. LuoH. Min, and R. Vidal
    IEEE International Conference on Computer Vision (ICCV), 2025 Abs arXiv Bib PDF Code Website
  3. Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
    H. Min, and R. Vidal
    International Conference on Machine Learning (ICML), 2025 Abs Bib PDF Poster
  4. Concept Lancet: Image Editing with Compositional Representation Transplant
    J. LuoT. DingK. ChanH. Min, C. Callison-Burch, and R. Vidal
    IEEE\CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Abs arXiv Bib PDF Code Website
  5. Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
    Z. Xu, H. MinJ. LuoL. MacDonald, S. Tarmoun, E. Mallada, and R. Vidal
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Abs arXiv Bib PDF
  6. Can Implicit Bias Imply Adversarial Robustness?
    H. Min, and R. Vidal
    International Conference on Machine Learning (ICML), 2024 Abs arXiv Bib PDF Poster
  7. Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
    H. MinE. Mallada, and R. Vidal
    International Conference on Learning Representations (ICLR), 2024 Abs arXiv Bib PDF Poster Slides
  8. On the Convergence of Gradient Flow on Multi-layer Linear Models
    H. MinR. Vidal, and E. Mallada
    International Conference on Machine Learning (ICML), 2023 Abs Bib PDF Poster Slides
  9. Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization
    Z. Xu, H. Min, S. Tarmoun, E. Mallada, and R. Vidal
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Abs Bib PDF Slides
  10. Learning Coherent Clusters in Weakly-Connected Network Systems
    H. Min, and E. Mallada
    Learning for Dynamics and Control Conference (L4DC), 2023 Abs arXiv Bib PDF Poster
  11. Spectral Clustering and Model Reduction for Weakly-connected Coherent Network Systems
    H. Min, and E. Mallada
    American Control Conference (ACC), 2023 Abs arXiv Bib PDF Slides
  12. Learning Safety Critics via a Non-Contractive Binary Bellman Operator
    2023 57th Asilomar Conference on Signals, Systems, and Computers (ACSSC), 2023 Bib
  13. Reinforcement Learning with Almost Sure Constraints
    Learning for Dynamics and Control Conference (L4DC), 2022 Abs Bib PDF
  14. On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
    H. Min, S. Tarmoun, R. Vidal, and E. Mallada
    International Conference on Machine Learning (ICML), 2021 Abs Bib PDF Poster Slides
  15. Dynamics Concentration of Tightly-Connected Large-Scale Networks
    H. Min, and E. Mallada
    IEEE Conference on Decision and Control (CDC), 2019 Abs arXiv Bib PDF Slides
  16. Voronoi-Based Coverage Control of Pan/Tilt/Zoom Camera Networks
    O. Arslan, H. Min, and D. Koditschek
    IEEE International Conference on Robotics and Automation (ICRA), 2018 Bib

Thesis

  1. Exploiting Structural Properties in the Analysis of High-dimensional Dynamical Systems
    H. Min
    Ph.D. Thesis, Johns Hopkins University, 2023
  2. On Balancing Event and Area Coverage in Mobile Sensor Networks
    H. Min
    Master’s Thesis, University of Pennsylvania, 2018

Misc

  1. Coherence and Concentration in Tightly-Connected Networks
    H. MinR. Pates, and E. Mallada
    2021 arXiv PDF