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Chuguang Pan


Last seen: Today |  Attivo dal 2019

Followers: 6   Following: 12

Messaggio

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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Domanda


DDPG Agent Training with Prioritized Experience Replay Obtaining Unstable Eposid Rewards
I want to train a DDPG agent with prioritized experience replay (PER) mechanism. After using rlPrioritizedReplayMemory and train...

18 giorni fa | 1 risposta | 0

1

risposta

Inviato


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

26 giorni fa | 1 download |

0.0 / 5

Inviato


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

26 giorni fa | 2 download |

0.0 / 5

Inviato


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

circa un mese fa | 1 download |

0.0 / 5

Domanda


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...

circa un mese fa | 1 risposta | 0

1

risposta

Inviato


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

circa un mese fa | 2 download |

0.0 / 5

Domanda


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...

circa un mese fa | 0 risposte | 0

0

risposte

Inviato


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...

circa un mese fa | 4 download |

0.0 / 5

Inviato


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

circa un mese fa | 11 download |

0.0 / 5
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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.

circa un mese fa | 5 download |

0.0 / 5

Risolto


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...

circa un mese fa

Domanda


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...

circa un mese fa | 2 risposte | 0

2

risposte

Inviato


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

circa un mese fa | 4 download |

0.0 / 5

Risposto
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

circa un mese fa | 2

Inviato


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....

circa 2 mesi fa | 3 download |

0.0 / 5

Risposto
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 ...

circa 2 mesi fa | 0

Domanda


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 ...

circa 2 mesi fa | 1 risposta | 0

1

risposta

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Customized MambaBlock Layer Using Minimal Implementation
Minimal implementation of MambaBlock.

circa 2 mesi fa | 5 download |

0.0 / 5
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Flow Matching Example for Generative Modeling
FlowMatching (FW) model builds the probability path from source distribution to target distribution.

circa 2 mesi fa | 6 download |

0.0 / 5
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Risolto


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 ...

circa 2 mesi fa

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

circa 2 mesi fa | 1 download |

0.0 / 5

Inviato


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

circa 2 mesi fa | 7 download |

0.0 / 5
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Customized Linformer Attention Layer
Linformer: multi-head linear attention with low-rank temporal projection.

2 mesi fa | 3 download |

0.0 / 5

Inviato


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

2 mesi fa | 5 download |

0.0 / 5

Inviato


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

2 mesi fa | 3 download |

0.0 / 5

Inviato


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 ...

2 mesi fa | 7 download |

0.0 / 5

Inviato


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

2 mesi fa | 8 download |

0.0 / 5

Inviato


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

3 mesi fa | 4 download |

0.0 / 5
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Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...

3 mesi fa | 9 download |

0.0 / 5

Domanda


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...

3 mesi fa | 1 risposta | 0

1

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