Hancheng Min

Orcid: 0000-0003-0600-3854

According to our database1, Hancheng Min authored at least 21 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Voyaging into Unbounded Dynamic Scenes from a Single View.
CoRR, July, 2025

A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models.
Trans. Mach. Learn. Res., 2025

A frequency domain analysis of slow coherency in networked systems.
Autom., 2025

Concept Lancet: Image Editing with Compositional Representation Transplant.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation.
CoRR, 2024

Can Implicit Bias Imply Adversarial Robustness?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Learning to Act Safely With Limited Exposure and Almost Sure Certainty.
IEEE Trans. Autom. Control., May, 2023

Learning Coherent Clusters in Weakly-Connected Network Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2023

On the Convergence of Gradient Flow on Multi-layer Linear Models.
Proceedings of the International Conference on Machine Learning, 2023

Spectral clustering and model reduction for weakly-connected coherent network systems.
Proceedings of the American Control Conference, 2023

Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Learning Safety Critics via a Non-Contractive Binary Bellman Operator.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Reinforcement Learning with Almost Sure Constraints.
Proceedings of the Learning for Dynamics and Control Conference, 2022

2021
Accurate Reduced-Order Models for Heterogeneous Coherent Generators.
IEEE Control. Syst. Lett., 2021

Coherence and Concentration in Tightly-Connected Networks.
CoRR, 2021

On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Dynamics Concentration of Large-Scale Tightly-Connected Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Accurate Reduced Order Models for Coherent Synchronous Generators.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Voronoi-Based Coverage Control of Pan/Tilt/Zoom Camera Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


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