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Hancheng Min
Hancheng Min
Postdoc Researcher, University of Pennsylvania
Verified email at seas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
On the explicit role of initialization on the convergence and implicit bias of overparametrized linear networks
H Min, S Tarmoun, R Vidal, E Mallada
International Conference on Machine Learning, 7760-7768, 2021
352021
Voronoi-based coverage control of pan/tilt/zoom camera networks
O Arslan, H Min, DE Koditschek
2018 IEEE International Conference on Robotics and Automation (ICRA), 5062-5069, 2018
302018
Dynamics concentration of large-scale tightly-connected networks
H Min, E Mallada
2019 IEEE 58th Conference on Decision and Control (CDC), 758-763, 2019
132019
Accurate reduced-order models for heterogeneous coherent generators
H Min, F Paganini, E Mallada
IEEE Control Systems Letters 5 (5), 1741-1746, 2020
122020
Accurate reduced order models for coherent synchronous generators
H Min, F Paganini, E Mallada
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
102019
Early neuron alignment in two-layer relu networks with small initialization
H Min, R Vidal, E Mallada
arXiv preprint arXiv:2307.12851, 2023
72023
Reinforcement learning with almost sure constraints
A Castellano, H Min, E Mallada, JA Bazerque
Learning for Dynamics and Control Conference, 559-570, 2022
72022
Coherence and concentration in tightly-connected networks
H Min, R Pates, E Mallada
arXiv preprint arXiv:2101.00981, 2021
72021
On the Convergence of Gradient Flow on Multi-layer Linear Models
H Min, R Vidal, E Mallada
International Conference on Machine Learning, 2023
52023
Linear convergence of gradient descent for finite width over-parametrized linear networks with general initialization
Z Xu, H Min, S Tarmoun, E Mallada, R Vidal
International Conference on Artificial Intelligence and Statistics, 2262-2284, 2023
32023
Learning coherent clusters in weakly-connected network systems
H Min, E Mallada
Learning for Dynamics and Control Conference, 1167-1179, 2023
22023
Spectral clustering and model reduction for weakly-connected coherent network systems
H Min, E Mallada
2023 American Control Conference (ACC), 2957-2962, 2023
22023
Learning to act safely with limited exposure and almost sure certainty
A Castellano, H Min, JA Bazerque, E Mallada
IEEE Transactions on Automatic Control 68 (5), 2979-2994, 2023
22023
A Frequency Domain Analysis of Slow Coherency in Networked Systems
H Min, R Pates, E Mallada
arXiv preprint arXiv:2302.08438, 2023
12023
On balancing event and area coverage in mobile sensor networks
H Min
University of Pennsylvania, 2018
12018
Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation
Y Jiang, H Min, B Zhang
arXiv preprint arXiv:2402.16765, 2024
2024
Learning safety critics via a non-contractive binary Bellman operator
A Castellano, H Min, JA Bazerque, E Mallada
2023 57th Asilomar Conference on Signals, Systems, and Computers, 814-821, 2023
2023
A LOCAL POLYAK-ŁOJASIEWICZ AND DESCENT LEMMA OF GRADIENT DESCENT FOR OVERPARAMETERIZED LINEAR MODELS
Z Xu, H Min, S Tarmoun, E Mallada, R Vidal
2023
Exploiting Structural Properties in the Analysis of High-dimensional Dynamical Systems
H Min
Johns Hopkins University, 2023
2023
Correct-by-design Safety Critics using Non-contractive Binary Bellman Operators
A Castellano, H Min, JA Bazerque, E Mallada
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