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Kai Yang

4 papers hereh-index 7206 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.SI1
  • math.ST1
  • q-fin.CP1
same name
  • Kai Yang — 22 papers, h 11
  • Kai Yang — 15 papers, h 18
  • Kai Yang — 15 papers, h 5
  • Kai Yang — 10 papers, h 4
  • Kai Yang — 9 papers, h 5
  • Kai Yang — 8 papers, h 25

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062018
most citedThe structure of self-organized blogosphere

10 citations · 14 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2018★ 2 cited

Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses

Mucong Ding, Kai Yang, Dit-Yan Yeung +1

The effectiveness of learning in massive open online courses (MOOCs) can be significantly enhanced by introducing personalized intervention schemes which rely on building predictiv…

q-fin.CP2017★ 2 cited

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions

Guosheng Hu, Yuxin Hu, Kai Yang +8

We propose a novel investment decision strategy (IDS) based on deep learning. The performance of many IDSs is affected by stock similarity. Most existing stock similarity measureme…

cs.SI2014

A fast clustering algorithm for mining social network data

Saeede Ajorlou, Issac Shams, Kai Yang

Many groups with diverse convictions are interacting online. Interactions in online communities help people to engage each other and enhance understanding across groups. Online com…

math.ST2006★ 10 cited

The structure of self-organized blogosphere

Feng Fu, Lianghuan Liu, Kai Yang +1

In this paper, a statistical analysis of the structure of one blog community, a kind of social networks, is presented. The quantities such as degree distribution, clustering coeffi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.