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Guangquan Zhang

39 papers hereh-index 7119.1k citations586 works total

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

author position
  • middle author16
  • last author23

Across the 39 of 39 papers where every author was matched, so the position is known.

fields
  • cs.LG26
  • stat.ML5
  • cs.SI3
  • cs.AI2
  • cs.CL1
  • cs.CV1
same name
  • Guangquan Zhang — 6 papers, h 4
  • Guangquan Zhang — 2 papers, h 2
  • Guangquan Zhang — 1 paper, h 10

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
20152025
most citedLearning under Concept Drift: A Review

943 citations · 1.5k across the 37 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

stat.ML2015★ 1 cited

Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization

Junyu Xuan, Jie Lu, Guangquan Zhang +2

Nonnegative Matrix Factorization (NMF) aims to factorize a matrix into two optimized nonnegative matrices appropriate for the intended applications. The method has been widely used…

cs.SI2015

Nonnegative Multi-level Network Factorization for Latent Factor Analysis

Junyu Xuan, Jie Lu, Xiangfeng Luo +1

Nonnegative Matrix Factorization (NMF) aims to factorize a matrix into two optimized nonnegative matrices and has been widely used for unsupervised learning tasks such as product r…

stat.ML2015

Nonparametric Relational Topic Models through Dependent Gamma Processes

Junyu Xuan, Jie Lu, Guangquan Zhang +2

Traditional Relational Topic Models provide a way to discover the hidden topics from a document network. Many theoretical and practical tasks, such as dimensional reduction, docume…

stat.ML2015★ 2 cited

Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process

Junyu Xuan, Jie Lu, Guangquan Zhang +2

Incorporating the side information of text corpus, i.e., authors, time stamps, and emotional tags, into the traditional text mining models has gained significant interests in the a…

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