Jing Wang (@yuzhounh)
  • Stars
    star
    144
  • Global Rank 158,553 (Top 6 %)
  • Followers 30
  • Following 2
  • Registered about 12 years ago
  • Most used languages
    MATLAB
    84.6 %
    Python
    15.4 %

Top repositories

1

Douban-books-results

Douban books grabbed from doulists, series, and tags.
46
star
2

Douban-books-2020

Douban books from doulists and tags.
25
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3

2DPCAL1-S

Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.
MATLAB
17
star
4

Douban-books-2017

Douban books.
13
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5

GWC

Scripts for the paper: Generation of individual whole-brain atlases with resting-state fMRI data using simultaneous graph computation and parcellation.
MATLAB
7
star
6

G2DPCA

Scripts for the paper: Generalized 2-D principal component analysis by Lp-norm for image analysis.
MATLAB
7
star
7

SLIC_individual

Scripts for the paper: Parcellating whole brain for individuals by simple linear iterative clustering.
MATLAB
6
star
8

Douban-books-crawler-2020

่ฑ†็“ฃ่ฏปไนฆ็ˆฌ่™ซ
MATLAB
5
star
9

MNIST-classification-example

Classify the MNIST data by LIBSVM in Matlab.
MATLAB
5
star
10

fMRI-classification-example

Pattern classification with fMRI data. Reproduced from Poldrack's repository by Matlab.
MATLAB
5
star
11

MNIST-classification-example-3

Classify the MNIST data by LIBSVM in Python.
Python
2
star
12

SLIC_atlas

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.
MATLAB
2
star
13

VALSE-Webinar-Slides-2

Download slides from: http://valser.org/webinar/slide/
Python
1
star
14

SLIC_2

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.
MATLAB
1
star
15

SLIC_individual-light

A light version of SLIC_individual which consumes less memory.
MATLAB
1
star
16

G2DPCA_demo_1

Scripts for the paper: Generalized 2-D principal component analysis by Lp-norm for image analysis.
MATLAB
1
star