Hongli-Chang

2017-TCYB-L2Graph

Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering, IEEE Trans Cybernetics 2017

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

CDLMRI

Coupled Dictionary Learning based Multi-contrast MRI Reconstruction

ChineseResearchLaTeX

**科研常用LaTeX模板集

code-of-learn-deep-learning-with-pytorch-master

Depression_RSSA

E2EDepressionRecognition

EEGNET

power-demo

Code repo accompanying the review in Trends in Cognitive Sciences

Simple-Brain-Plot

brainPlot is a MATLAB function to create simple line-art brain plots.

Hongli-Chang/Depression_RSSA

Hongli-Chang/EEGNET

Hongli-Chang/Simple-Brain-Plot

brainPlot is a MATLAB function to create simple line-art brain plots.

Hongli-Chang/E2EDepressionRecognition

Hongli-Chang/power-demo

Code repo accompanying the review in Trends in Cognitive Sciences

Hongli-Chang/arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Hongli-Chang/CDLMRI

Coupled Dictionary Learning based Multi-contrast MRI Reconstruction

Hongli-Chang/ChineseResearchLaTeX

**科研常用LaTeX模板集

Hongli-Chang/code-of-learn-deep-learning-with-pytorch-master

Hongli-Chang/Database-for-depression

Hongli-Chang/EEG_TEST

Hongli-Chang/FMR

CODE of Flexible Multi-View Representation Learning for Subspace Clustering

Hongli-Chang/FSPCA

NeurIPS 2020: Learning Feature Sparse Principal Subspace

Hongli-Chang/GMM-from-scratch

The only guide you need to learn everything about GMM

Hongli-Chang/hebbRNN

A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks

Hongli-Chang/LMDA-Code

code for LMDA

Hongli-Chang/mamba

Hongli-Chang/Mamba_SSM

A simple implementation of [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752)

Hongli-Chang/Multi-Level-Logit-Distillation

Code for 'Multi-level Logit Distillation' (CVPR2023)

Hongli-Chang/NICE-EEG

[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.

Hongli-Chang/NIID-MSL

Robust Multi-view Subspace Learning with Non-independent and Non-identically Distributed Complex Noise (TNNLS, 2019)

Hongli-Chang/PR-PL

official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)

Hongli-Chang/practical-matlab-deep-learning

Source Code for 'Practical MATLAB Deep Learning' by Michael Paluszek and Stephanie Thomas

Hongli-Chang/practical-matlab-deep-learning-2e

Source Code for 'Practical MATLAB Deep Learning, 2nd Edition'

Hongli-Chang/PRMLT

Matlab code of machine learning algorithms in book PRML

Hongli-Chang/RMSL

This is the CODE of Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering

Hongli-Chang/RNN_learnDA

An RNN-based reinforcement learning model

Hongli-Chang/Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition

Hongli-Chang/Style-Transfer-Mapping

Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition

Hongli-Chang/Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model