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Z. Ke

38 papers hereh-index 181.1k citations55 works total

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

author position
  • sole author3
  • first author10
  • middle author21
  • last author4

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • stat.ME15
  • math.ST11
  • cs.CL2
  • cs.LG2
  • cs.SI2
  • stat.AP2
same name
  • Z. Ke — 16 papers, h 18
  • Z. Ke — 5 papers, h 11
  • Z. Ke — 2 papers, h 7
  • Z. Ke — 1 paper, h 10
  • Z. Ke — 1 paper, h 1

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
20132026
most citedCommunity Detection for Hypergraph Networks via Regularized Tensor Power Iteration

56 citations · 225 across the 37 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

stat.ME2018

Higher Moment Estimation for Elliptically-distributed Data: Is it Necessary to Use a Sledgehammer to Crack an Egg?

Zheng Tracy Ke, Koushiki Bose, Jianqing Fan

Multivariate elliptically-contoured distributions are widely used for modeling economic and financial data. We study the problem of estimating moment parameters of a semi-parametri…

cs.SI2018★ 18 cited

Improvements on SCORE, Especially for Weak Signals

Jiashun Jin, Zheng Tracy Ke, Shengming Luo

A network may have weak signals and severe degree heterogeneity, and may be very sparse in one occurrence but very dense in another. SCORE (Jin, 2015) is a recent approach to netwo…

cs.LG2018★ 9 cited

State Aggregation Learning from Markov Transition Data

Yaqi Duan, Zheng Tracy Ke, Mengdi Wang

State aggregation is a popular model reduction method rooted in optimal control. It reduces the complexity of engineering systems by mapping the system's states into a small number…

stat.ME2018★ 5 cited

Network Global Testing by Counting Graphlets

Jiashun Jin, Zheng Tracy Ke, Shengming Luo

Consider a large social network with possibly severe degree heterogeneity and mixed-memberships. We are interested in testing whether the network has only one community or there ar…

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