Jiachen Guo
Orcid: 0000-0002-0785-3829
According to our database1,
Jiachen Guo
authored at least 14 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Deep Reinforcement Learning Empowered Resource Allocation in Vehicular Fog Computing.
IEEE Trans. Veh. Technol., May, 2024
Algorithms, April, 2024
Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems.
CoRR, 2024
Decade-Bandwidth RF-Input Pseudo-Doherty Load Modulated Balanced Amplifier using Signal-Flow-Based Phase Alignment Design.
CoRR, 2024
Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration.
CoRR, 2024
Linear Hybrid Asymmetrical Load-Modulated Balanced Amplifier with Multi-Band Reconfigurability and Antenna-VSWR Resilience.
CoRR, 2024
Proceedings of the IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium, 2024
2023
DCABM-TCM: A Database of Constituents Absorbed into the Blood and Metabolites of Traditional Chinese Medicine.
J. Chem. Inf. Model., August, 2023
Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process.
CoRR, 2023
Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty.
CoRR, 2023
2022
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis.
CoRR, 2022
Deep Learning Discrete Calculus (DLDC): A Family of Discrete Numerical Methods by Universal Approximation for STEM Education to Frontier Research.
CoRR, 2022
2011
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011
2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010