Voronoi-Based Coverage Control of Pan/Tilt/Zoom Camera Networks. - Ömür Arslan; Hancheng Min; Daniel E. Koditschek (ICRA, 2018)

Accurate Reduced Order Models for Coherent Synchronous Generators. - Hancheng Min; Fernando Paganini; Enrique Mallada (Allerton, 2019)

Dynamics Concentration of Large-Scale Tightly-Connected Networks. - Hancheng Min; Enrique Mallada (CDC, 2019)

On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. - Hancheng Min; Salma Tarmoun; René Vidal; Enrique Mallada (ICML, 2021)

Coherence and Concentration in Tightly-Connected Networks. - Hancheng Min; Enrique Mallada (CoRR, 2021)

Accurate Reduced-Order Models for Heterogeneous Coherent Generators. - Hancheng Min; Fernando Paganini; Enrique Mallada (IEEE Control. Syst. Lett., 2021)

Reinforcement Learning with Almost Sure Constraints. - Agustin Castellano; Hancheng Min; Enrique Mallada; Juan Andrés Bazerque (L4DC, 2022)

Learning Safety Critics via a Non-Contractive Binary Bellman Operator. - Agustin Castellano; Hancheng Min; Juan Andrés Bazerque; Enrique Mallada (ACSSC, 2023)

Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. - Ziqing Xu; Hancheng Min; Salma Tarmoun; Enrique Mallada; René Vidal (AISTATS, 2023)

Spectral clustering and model reduction for weakly-connected coherent network systems. - Hancheng Min; Enrique Mallada (ACC, 2023)

On the Convergence of Gradient Flow on Multi-layer Linear Models. - Hancheng Min; René Vidal; Enrique Mallada (ICML, 2023)

Learning Coherent Clusters in Weakly-Connected Network Systems. - Hancheng Min; Enrique Mallada (L4DC, 2023)

Learning to Act Safely With Limited Exposure and Almost Sure Certainty. - Agustin Castellano; Hancheng Min; Juan Andrés Bazerque; Enrique Mallada (IEEE Trans. Autom. Control., 2023)

Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization. - Hancheng Min; Enrique Mallada; René Vidal (ICLR, 2024)

Can Implicit Bias Imply Adversarial Robustness? - Hancheng Min; René Vidal (ICML, 2024)

Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation. - Yan Jiang; Hancheng Min; Baosen Zhang (CoRR, 2024)

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. - Ziqing Xu; Hancheng Min; Lachlan Ewen MacDonald; Jinqi Luo; Salma Tarmoun; Enrique Mallada; René Vidal (AISTATS, 2025)

Concept Lancet: Image Editing with Compositional Representation Transplant. - Jinqi Luo; Tianjiao Ding; Kwan Ho Ryan Chan; Hancheng Min; Chris Callison-Burch; René Vidal (CVPR, 2025)

A frequency domain analysis of slow coherency in networked systems. - Hancheng Min; Richard Pates; Enrique Mallada (Autom., 2025)

A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models. - Ziqing Xu; Hancheng Min; Salma Tarmoun; Enrique Mallada; René Vidal (Trans. Mach. Learn. Res., 2025)

Voyaging into Unbounded Dynamic Scenes from a Single View. - Fengrui Tian; Tianjiao Ding; Jinqi Luo; Hancheng Min; René Vidal (CoRR, 2025)