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Chuguang Pan


Last seen: Today Actif depuis 2019

Followers: 5   Following: 12

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Continuous learning matters enormously. Knowledge and industries change fast these days, so we can not stop learning once we master a set of skills. Keeping learning helps us broaden our horizons, improve our problem-solving skills and stay competitive in both work and life.

Programming Languages:
MATLAB, Python, C
Spoken Languages:
English, Chinese
Pronouns:
He/him
Professional Interests:
Control Algorithm Design, Signal and Data Processing, Mechanical Engineering

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A soumis


Sharpness Aware Minimization for Generalization
Min-Max optimization for robust network training.

3 jours il y a | 1 téléchargement |

0.0 / 5

A soumis


TSK Fuzzy Inference Deep Learning Layer
Customized deep learning layer for TSK fuzzy inference system.

3 jours il y a | 1 téléchargement |

0.0 / 5

A soumis


Local Spectral Centroid Attention (LSCA) Layer
LSCA dynamically identifies dominant local spectral centroids and adaptively allocates frequency-band weights for vibration-base...

9 jours il y a | 1 téléchargement |

0.0 / 5

Question


Control Underactuated Two-Link Robot Using C/GMRES Solver Example Generates Distinct Result
I was learning Nonlinear Model Predictive Controller (NMPC) recently and tried to reproduce the Control Underactuated Two-Link R...

11 jours il y a | 1 réponse | 0

0

réponse

A soumis


Clipped Double DQN Agent for Reinforcement Learning
Clipped Double Deep Q-Network (CDDQN) RL agent constructed based on template calss.

14 jours il y a | 1 téléchargement |

0.0 / 5

Question


Inconsistent observation input type of getActionImpl method in Custom Reinforcement Learning Agent Class
I want to construct custom Reinforcement Learning (RL) agent based on template class provided by MATLAB Example. After construct...

14 jours il y a | 1 réponse | 0

0

réponse

A soumis


Customized Causal Wavelet Layer for Physics-Guided Learning
Causal wavelet layer is a customized deep learning layer for physics-guided learning. It uses conv-1D to implement wavelet trans...

16 jours il y a | 3 téléchargements |

0.0 / 5

A soumis


Latent Augmented Neural Ordinary Differential Equations
Latent augmented neural ordinary differential equation (LANODE) for data-driven modeling of dynamic systems.

17 jours il y a | 3 téléchargements |

0.0 / 5
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A soumis


Generalized State Space Layer for Sampling Rate Shift
Generalized State Space (GSS) layer can process input sampling rate shift based on SSM with learnable timescale.

19 jours il y a | 4 téléchargements |

0.0 / 5

A résolu


Swap the column given with another one!
We have a random sized matrix A. You have to change the nth column with the kth column. The result must be a matrix B. For exam...

20 jours il y a

Question


pinv function is supported for dlarray input while the pageinv function is not supported
In the deep learning pipeline, I want to use inverse operation on every page of 3D dlarray object. I have tried pageinv function...

22 jours il y a | 2 réponses | 0

2

réponses

A soumis


Wavelet-Structured Gated Recurrent Unit Layer
Customized Wavelet-Structured Gated Recurrent Unit (WSGRU) layer for multivariate time series analysis.

22 jours il y a | 3 téléchargements |

0.0 / 5

Réponse apportée
How to multiple very large numbers in Matlab?
@Manny. You can use sym function to obtain accurate symbolic result. accurateNum = sym("111111111"); res = accurateNum.^2

22 jours il y a | 2

A soumis


Caputo Fractional-Order GRU for Time-Series Learning
Caputo fractional-order extension model is integrated into the GRU state update mechanism based on Caputo fractional derivative....

24 jours il y a | 2 téléchargements |

0.0 / 5

Réponse apportée
dlarray supported alternatives of matrix inverse and matrix determinant
After refering to the Example presented in Specify Custom Operation Backward Function and the Matrix calculus formula. I define ...

28 jours il y a | 0

Question


dlarray supported alternatives of matrix inverse and matrix determinant
I want to use matrix inverse and matrix determinant in the Dynamic Computation Graph of the deep learning model. However, there ...

28 jours il y a | 1 réponse | 0

1

réponse

A soumis


Customized MambaBlock Layer Using Minimal Implementation
Minimal implementation of MambaBlock.

30 jours il y a | 4 téléchargements |

0.0 / 5
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A soumis


Flow Matching Example for Generative Modeling
FlowMatching (FW) model builds the probability path from source distribution to target distribution.

environ un mois il y a | 5 téléchargements |

0.0 / 5
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A résolu


Find the standard deviation of non-zero elements in a matrix
Given a matrix A, calculate the sample standard deviation of only the non-zero elements. If there are fewer than 2 non-zero ...

environ un mois il y a

A soumis


Split Input Function Layer with Multi-Outputs
Split input with uniform block size along channel ("C") dimension based on functionLayer.

environ un mois il y a | 1 téléchargement |

0.0 / 5

A soumis


RBFKAN for Physics-Informed Machine Leaning
RBFKAN constructs its edge activation functions as a linear combination of radial basis functions.

environ un mois il y a | 6 téléchargements |

0.0 / 5
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A soumis


Customized Linformer Attention Layer
Linformer: multi-head linear attention with low-rank temporal projection.

environ un mois il y a | 2 téléchargements |

0.0 / 5

A soumis


Gated Mamba Module based on Deep Learning Toolbox
Gated mamba module for multivariates time sequence deep learning.

environ un mois il y a | 3 téléchargements |

0.0 / 5

A soumis


Neural Dynamics Gradient Time Acceleration Optimizer
NDGTA optimizer guides parameters of neural networks toward flat minima during the training for generalization.

environ un mois il y a | 2 téléchargements |

0.0 / 5

A soumis


Deep Gaussian Process (DGP) Layer for DGP Integration
Deep Gaussian Processes (DGPs) are hierarchical Bayesian non-parametric models that extend standard Gaussian Processes for deep ...

environ un mois il y a | 6 téléchargements |

0.0 / 5

A soumis


Symbolic KANs for Interpretable Learning
Symbolic Kolmogorov-Arnold Networks (Symbolic-KANs) embeds symbolic structure directly within a trainable network.

environ 2 mois il y a | 6 téléchargements |

0.0 / 5

A soumis


Customized Spike Neuron Layers for Spiking Neural Networks
SpikeIFNeuronLayer and SpikeLIFNeuronLayer for constructing Spiking Neural Networks (SNNs).

environ 2 mois il y a | 3 téléchargements |

0.0 / 5
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A soumis


Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...

2 mois il y a | 8 téléchargements |

0.0 / 5

Question


Custom Deep Learning Layer with different input and output format occurs error
When I construct the custom deep learning layer with formattable input and output, checkLayer function returns error when the in...

2 mois il y a | 1 réponse | 0

1

réponse

A soumis


Spiking Neural Network Example using Spiking LIF Layer
Customized Spiking LIF (Leaky-and-Firing) Layer without learnable parameters for constructing Spiking Neural Networks (SNNs).

2 mois il y a | 13 téléchargements |

0.0 / 5
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