Publications

List of my publications and preprints

Journal and Preprints

  1. A Frequency Domain Analysis of Slow Coherency in Networked Systems
    Hancheng MinRichard Pates, and Enrique Mallada
    Automatica, 2025 Abs arXiv Bib
  2. Oscillations-aware Frequency Security Assessment via Efficient Worst-case Frequency Nadir Computation
    Yan JiangHancheng Min, and Baosen Zhang
    Electric Power Systems Research (EPSR), 2024 Abs arXiv Bib PDF
  3. Learning to Act Safely with Limited Exposure and Almost Sure Certainty
    IEEE Transactions on Automatic Control (TAC), May 2023 Abs Bib PDF
  4. Convergence and Implicit Bias of Gradient Flow on Overparametrized Linear Networks
    Hancheng Min, Salma Tarmoun, René Vidal, and Enrique Mallada
    May 2023 arXiv PDF
  5. Accurate Reduced Order Models for Coherent Heterogeneous Generators
    Hancheng Min, Fernando Paganini, and Enrique Mallada
    IEEE Control Systems Letters (L-CSS), Nov 2021 Abs arXiv Bib PDF Slides

Conference

  1. Concept Lancet: Decomposing and Transplanting Representations for Diffusion-Based Image Editing
    Jinqi LuoTianjiao DingKwan Ho Ryan ChanHancheng Min, Chris Callison-Burch, and René Vidal
    Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Abs
  2. Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
    Ziqing Xu, Hancheng MinJinqi LuoLachlan Ewen MacDonald, Salma Tarmoun, Enrique Mallada, and René Vidal
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Abs PDF
  3. Can Implicit Bias Imply Adversarial Robustness?
    Hancheng Min, and René Vidal
    International Conference on Machine Learning (ICML), 21–27 jul 2024 Abs arXiv Bib PDF Poster
  4. Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
    Hancheng MinEnrique Mallada, and René Vidal
    International Conference on Learning Representations (ICLR), May 2024 Abs arXiv Bib PDF Poster Slides
  5. On the Convergence of Gradient Flow on Multi-layer Linear Models
    Hancheng MinRené Vidal, and Enrique Mallada
    International Conference on Machine Learning (ICML), Jul 2023 Abs Bib PDF Poster Slides
  6. Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization
    Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, and René Vidal
    International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2023 Abs Bib PDF Slides
  7. Learning Coherent Clusters in Weakly-Connected Network Systems
    Hancheng Min, and Enrique Mallada
    Learning for Dynamics and Control Conference (L4DC), Jun 2023 Abs arXiv Bib PDF Poster
  8. Spectral Clustering and Model Reduction for Weakly-connected Coherent Network Systems
    Hancheng Min, and Enrique Mallada
    American Control Conference (ACC), Jun 2023 Abs arXiv Bib PDF Slides
  9. Learning Safety Critics via a Non-Contractive Binary Bellman Operator
    2023 57th Asilomar Conference on Signals, Systems, and Computers, Jun 2023 Bib
  10. Reinforcement Learning with Almost Sure Constraints
    Learning for Dynamics and Control Conference (L4DC), Jun 2022 Abs Bib PDF
  11. On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
    Hancheng Min, Salma Tarmoun, René Vidal, and Enrique Mallada
    International Conference on Machine Learning (ICML), Jul 2021 Abs Bib PDF Poster Slides
  12. Dynamics Concentration of Tightly-Connected Large-Scale Networks
    Hancheng Min, and Enrique Mallada
    IEEE Conference on Decision and Control (CDC), Dec 2019 Abs arXiv Bib PDF Slides
  13. Voronoi-Based Coverage Control of Pan/Tilt/Zoom Camera Networks
    O. Arslan, H. Min, and D. E. Koditschek
    IEEE International Conference on Robotics and Automation (ICRA), May 2018 Bib

Thesis

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

Misc

  1. Coherence and Concentration in Tightly-Connected Networks
    Hancheng MinRichard Pates, and Enrique Mallada
    2021 arXiv PDF