WANG Yue (@KeithYue)
  • Stars
    star
    103
  • Global Rank 203,560 (Top 8 %)
  • Followers 40
  • Following 13
  • Registered almost 13 years ago
  • Most used languages
    Python
    66.7 %
    C++
    11.1 %
    JavaScript
    11.1 %
    C#
    11.1 %
  • Location 🇭🇰 Hong Kong
  • Country Total Rank 632
  • Country Ranking
    C#
    205
    C++
    252
    Python
    282

Top repositories

1

Zhihu_Spider

Scrapy the Zhihu content and user social network information
Python
47
star
2

weibo-keywords-crawler

Crawl the related sina weibo content using the keywords, and save the results to txt file for future use.
Python
18
star
3

SimRankRelease

SimRank Release (Please cite our papers if you use the codes.) - Yue Wang and Yulin Che
C++
9
star
4

Twevent

A novel segment-based event detection system for tweets.
Python
6
star
5

GooglePlay-Downloader

A spider which is to crawl the data from google play store
Python
5
star
6

WebTopicModel

latent semantic indexing
Python
4
star
7

PHD-Application

My personal phd application materials
2
star
8

PageRocker

A chrome extension which can track user's head to control the display of the webpage the user visiting
JavaScript
2
star
9

gitTest

git and githublearning
1
star
10

Myhealth

个人健康随身助手
1
star
11

WebdataPipeline

construct pipeline for different forms of web data such as weibo, bbs, news, blog. Including spider, content extraction, tokenize
Python
1
star
12

ImageAnnotation

Auto annotat for your photo
C#
1
star
13

DeepLearning_in_CQA

Here is some tests which is used to explore the application of deep learning in expert finding in CQA
1
star
14

learn-coffee

learn-coffee
1
star
15

JS_DesignPatterns

learn js design pattern
1
star
16

Crowdsourcing_in_QA_Sytem

Crowdsourcing is the practice of obtaining needed services, ideas, or content by soliciting contributions from a large group of people, and especially from an online community, rather than from traditional employees or suppliers. Nowa- days, lots of people begain to post their ideas and viewpoints on SNS platforms such as Twitter, Facebook or Sina Weibo. Such information can be collected to identify what is users are good at. Analysising this data on SNS platform can help recognize which expert the user would be on question and answer systems. In a result, the system could provide more accurate people when a user ask a question.
1
star