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Ju Fan

9 papers hereh-index 293.1k citations74 works total

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

author position
  • first author2
  • middle author6
  • last author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.CL3
  • cs.LG1
  • cs.SI1
same name
  • Ju Fan — 12 papers, h 8
  • Ju Fan — 6 papers, h 8
  • Ju Fan — 6 papers, h 2
  • Ju Fan — 5 papers, h 2
  • Ju Fan — 3 papers, h 3
  • Ju Fan — 2 papers, h 2

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
20122023
most citedRelational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

11 citations · 49 across the 9 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2023★ 1 cited

ChatPipe: Orchestrating Data Preparation Program by Optimizing Human-ChatGPT Interactions

Sibei Chen, Hanbing Liu, Weiting Jin +5

Orchestrating a high-quality data preparation program is essential for successful machine learning (ML), but it is known to be time and effort consuming. Despite the impressive cap…

cs.DB2020★ 11 cited

Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

Ju Fan, Tongyu Liu, Guoliang Li +3

The proliferation of big data has brought an urgent demand for privacy-preserving data publishing. Traditional solutions to this demand have limitations on effectively balancing th…

cs.DB2018★ 7 cited

Crowd-Powered Data Mining

Chengliang Chai, Ju Fan, Guoliang Li +2

Many data mining tasks cannot be completely addressed by auto- mated processes, such as sentiment analysis and image classification. Crowdsourcing is an effective way to harness th…

cs.DB2012★ 10 cited

SEAL: Spatio-Textual Similarity Search

Ju Fan, Guoliang Li, Lizhu Zhou +2

Location-based services (LBS) have become more and more ubiquitous recently. Existing methods focus on finding relevant points-of-interest (POIs) based on users' locations and quer…

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