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Chuguang Pan


Last seen: Today 2019 年からアクティブ

Followers: 4   Following: 12

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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Customized MambaBlock Layer Using Minimal Implementation
Minimal implementation of MambaBlock.

1日 前 | ダウンロード 0 件 |

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

3日 前 | ダウンロード 4 件 |

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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 ...

6日 前

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

8日 前 | ダウンロード 1 件 |

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

8日 前 | ダウンロード 4 件 |

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

11日 前 | ダウンロード 1 件 |

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

14日 前 | ダウンロード 1 件 |

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

15日 前 | ダウンロード 2 件 |

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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 ...

16日 前 | ダウンロード 4 件 |

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

22日 前 | ダウンロード 3 件 |

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

27日 前 | ダウンロード 1 件 |

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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...

約1ヶ月 前 | ダウンロード 7 件 |

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質問


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...

約1ヶ月 前 | 1 件の回答 | 0

1

回答

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

約1ヶ月 前 | ダウンロード 6 件 |

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Customized Invertible Attention Layer
Invertible Attention Layer (IAL) constructed based on Deep Learning Toolbox for conditional invertible neural networks (cINNs).

約1ヶ月 前 | ダウンロード 2 件 |

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質問


How to ensurethat the sum([0.7 0.2 0.1])==1 return true when testing equivalence relation
I find that when I want to test the equivalence between sum([0.7 0.2 0.1]) and 1, the testing result return false. I think the e...

約1ヶ月 前 | 2 件の回答 | 0

2

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Wavelet Kolmogorov-Arnold Layers
Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework for enhancing interpretability and performance.

約2ヶ月 前 | ダウンロード 12 件 |

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Customized BiGRU Layer using Deep Learning Toolbox
BiGRU layer constructed based on Deep Learning Toolbox.

約2ヶ月 前 | ダウンロード 2 件 |

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How is the spectralConvolution1dLayer forward computation process performed
spectralConvolution1dLayer performs convolution on 1-D input using frequency domain transformations. The layer convolves the in...

約2ヶ月 前 | 1 件の回答 | 0

1

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MATLAB 101: Reverse a Vector
Write a MATLAB function that takes a 1D vector (either a row or a column vector) and returns the vector with its elements in exa...

2ヶ月 前

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Multi Head Hybrid Adaptive Attention Mechanism
Multi-head hybrid adaptive attention (MHAA) mechanism integrating MSA and MEA.

2ヶ月 前 | ダウンロード 6 件 |

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Multiply the Diagonals of Two Vectors
Find the diagonals of vectors a and b and multiply them.

3ヶ月 前

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T-S Fuzzy Markov Jump Systems Simulation Example
T-S Fuzzy Markov Jump Systems Simulation based on ode Object and odeEvent object.

3ヶ月 前 | ダウンロード 5 件 |

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Customized Graph Attention Layer for Graph Neural Network
Customized Graph Attention Layer based on Deep Learning Toolbox for graph neural network.

3ヶ月 前 | ダウンロード 8 件 |

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Top-k Sparse Attention Layer
Top-k Sparse Attention Layer implemented based on Deep Learning Toolbox and customized deep learning layer template.

3ヶ月 前 | ダウンロード 2 件 |

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Customized Graph Convolution Network Layer
Graph Convolution Network (GCN) Layer constructed based on MATLAB Deep Learning Toolbox.

3ヶ月 前 | ダウンロード 11 件 |

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Customized Mamba SSM Block Deep Learning Layer
Core Mamba SSM block implementation leveraging selective state spaces based on MATLAB Deep Learning Toolbox

3ヶ月 前 | ダウンロード 29 件 |

0.0 / 5
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Count the even numbers in a multiplication table
A multiplication table that has products of numbers from 1 to 10 has 75 even numbers among the products. Write a function to c...

3ヶ月 前

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Quadratic 1D Convolution and Fully-Connection Layer
Quadratic 1D convolution layer and fully-connection layer.

3ヶ月 前 | ダウンロード 5 件 |

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Efficient Channel Attention (ECA) for Spatial attention
To capture spatial dependencies in the multivariable time series data, ECA enhances the representational capacity of deep CNN.

3ヶ月 前 | ダウンロード 5 件 |

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