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ORCIDChristian Moya
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2020 – today
- 2024
[j11]Zecheng Zhang
, Christian Moya, Wing Tat Leung, Guang Lin, Hayden Schaeffer:
Bayesian Deep Operator Learning for Homogenized to Fine-Scale Maps for Multiscale PDE. Multiscale Model. Simul. 22(3): 956-972 (2024)- [c4]Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin:
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo. AISTATS 2024: 2611-2619 - [i19]Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin:
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo. CoRR abs/2401.11665 (2024) - [i18]Christian Moya, Amirhossein Mollaali, Zecheng Zhang, Lu Lu, Guang Lin:
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks. CoRR abs/2402.15406 (2024) - [i17]Amirhossein Mollaali, Gabriel Zufferey, Gonzalo Constante-Flores, Christian Moya, Can Li, Guang Lin, Meng Yue:
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators. CoRR abs/2410.24162 (2024) - [i16]Jiahao Zhang, Christian Moya, Guang Lin:
An Energy-Based Self-Adaptive Learning Rate for Stochastic Gradient Descent: Enhancing Unconstrained Optimization with VAV method. CoRR abs/2411.06573 (2024) - [i15]Zecheng Zhang, Christian Moya, Lu Lu, Guang Lin, Hayden Schaeffer:
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning. CoRR abs/2411.07239 (2024) - 2023
- [j10]Binghang Lu, Christian Moya, Guang Lin:
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training. Algorithms 16(4): 194 (2023) - [j9]Guang Lin, Christian Moya, Zecheng Zhang:
Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks. Eng. Appl. Artif. Intell. 125: 106689 (2023) - [j8]Christian Moya, Shiqi Zhang, Guang Lin, Meng Yue:
DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories. Neurocomputing 535: 166-182 (2023) - [j7]Christian Moya, Guang Lin:
Bayesian, Multifidelity Operator Learning for Complex Engineering Systems-A Position Paper. J. Comput. Inf. Sci. Eng. 23(6) (2023) - [j6]Guang Lin, Christian Moya, Zecheng Zhang:
B-DeepONet: An enhanced Bayesian DeepONet for solving noisy parametric PDEs using accelerated replica exchange SGLD. J. Comput. Phys. 473: 111713 (2023) - [j5]Christian Moya, Guang Lin:
DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks. Neural Comput. Appl. 35(5): 3789-3804 (2023) - [j4]Yixuan Sun, Christian Moya, Guang Lin, Meng Yue:
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems. IEEE Syst. J. 17(3): 4360-4370 (2023) - [i14]Christian Moya, Guang Lin, Tianqiao Zhao, Meng Yue:
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators. CoRR abs/2301.12538 (2023) - [i13]Binghang Lu, Christian B. Moya, Guang Lin:
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training. CoRR abs/2303.02219 (2023) - [i12]Izzet Sahin, Christian Moya, Amirhossein Mollaali, Guang Lin, Guillermo Paniagua:
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles. CoRR abs/2306.00810 (2023) - [i11]Zecheng Zhang, Christian Moya, Wing Tat Leung, Guang Lin, Hayden Schaeffer:
Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE. CoRR abs/2308.14188 (2023) - [i10]Zecheng Zhang, Christian Moya, Lu Lu, Guang Lin, Hayden Schaeffer:
D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators. CoRR abs/2310.18888 (2023) - [i9]Amirhossein Mollaali, Izzet Sahin, Iqrar Raza, Christian Moya, Guillermo Paniagua, Guang Lin:
A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients. CoRR abs/2311.03639 (2023) - [i8]Zhihao Kong, Amirhossein Mollaali, Christian Moya, Na Lu, Guang Lin:
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions. CoRR abs/2311.16519 (2023) - 2022
- [j3]Christian Moya, Guang Lin:
Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks. Algorithms 15(9): 325 (2022) - [i7]Christian Moya, Shiqi Zhang, Meng Yue, Guang Lin:
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories. CoRR abs/2202.07176 (2022) - [i6]Guang Li, Christian Moya, Zecheng Zhang:
On Learning the Dynamical Response of Nonlinear Control Systems with Deep Operator Networks. CoRR abs/2206.06536 (2022) - [i5]Yixuan Sun, Christian Moya, Guang Lin, Meng Yue:
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems. CoRR abs/2209.10622 (2022) - 2021
- [i4]Christian Moya, Guang Lin:
DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks. CoRR abs/2109.04304 (2021) - [i3]Guang Lin, Christian Moya, Zecheng Zhang:
Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs. CoRR abs/2111.02484 (2021) - 2020
- [j2]Jiankang Wang, Gonzalo E. Constante, Christian Moya, Junho Hong:
Semantic analysis framework for protecting the power grid against monitoring-control attacks. IET Cyper-Phys. Syst.: Theory & Appl. 5(1): 119-126 (2020)
2010 – 2019
- 2019
- [j1]Christian Moya, Jiankang Wang:
Developing correlation indices to identify coordinated cyber-attacks on power grids. IET Cyper-Phys. Syst.: Theory & Appl. 3(4): 178-186 (2019) - [c3]Gonzalo E. Constante, Christian Moya, Jiankang Wang:
Semantic-Based Detection Architectures Against Monitoring-Control Attacks in Power Grids. SmartGridComm 2019: 1-6 - 2018
- [i2]Christian Moya, Junho Hong, Jiankang Wang:
Application of Correlation Indices on Intrusion Detection Systems: Protecting the Power Grid Against Coordinated Attacks. CoRR abs/1806.03544 (2018) - 2017
- [c2]Christian Moya, Jiankang Wang:
Cyber-Attacks to Voltage Control Applications via Wide Area Monitoring, Protection and Control System. SPSR-SG@CPSWeek 2017: 15-20 - [i1]Christian Moya, Jiankang Wang:
Developing a Correlation Index to Identify Coordinated Cyber-Attacks to Power Grids. CoRR abs/1707.00672 (2017) - 2014
- [c1]Christian Moya, Wei Zhang, Jianming Lian, Karanjit Kalsi:
A hierarchical framework for demand-side frequency control. ACC 2014: 52-57
Coauthor Index
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