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Ju Fan

4 papers hereh-index 7210 citations15 works total

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

author position
  • middle author4

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

fields
  • cs.DB4
same name
  • Ju Fan — 11 papers, h 8
  • Ju Fan — 5 papers, h 2
  • Ju Fan — 3 papers, h 2
  • Ju Fan — 2 papers, h 2
  • Ju Fan — 1 paper, h 2
  • Ju Fan — 1 paper, h 3

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

most citedA Survey of Data Agents: Emerging Paradigm or Overstated Hype?

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.DB2026★ 1 cited

A Survey of Data Agents: Emerging Paradigm or Overstated Hype?

Yizhang Zhu, Liangwei Wang, Chenyu Yang +22

The rapid advancement of large language models (LLMs) has spurred the emergence of data agents, autonomous systems designed to orchestrate Data + AI ecosystems for tackling complex…

cs.DB2026

Data Agents: Levels, State of the Art, and Open Problems

Yuyu Luo, Guoliang Li, Ju Fan +1

Data agents are an emerging paradigm that leverages large language models (LLMs) and tool-using agents to automate data management, preparation, and analysis tasks. However, the te…

cs.DB2025

Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search

Boyan Li, Jiayi Zhang, Ju Fan +4

Text-to-SQL, which enables natural language interaction with databases, serves as a pivotal method across diverse industries. With new, more powerful large language models (LLMs) e…

cs.DB2025

A Unified Model for Cardinality Estimation by Learning from Data and Queries via Sum-Product Networks

Jiawei Liu, Ju Fan, Tongyu Liu +5

Cardinality estimation is a fundamental component in database systems, crucial for generating efficient execution plans. Despite advancements in learning-based cardinality estimati…

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