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researcher

Yunjun Gao

28 papers hereh-index 405.8k citations280 works total

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

author position
  • first author3
  • middle author9
  • last author15

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • cs.DB12
  • cs.IR6
  • cs.LG5
  • cs.CL2
  • cs.DS2
  • cs.HC1
same name
  • Yunjun Gao — 21 papers, h 10
  • Yunjun Gao — 17 papers, h 8
  • Yunjun Gao — 8 papers, h 2
  • Yunjun Gao — 3 papers
  • Yunjun Gao — 3 papers, h 3
  • Yunjun Gao — 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

activity
20192023
most citedMetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation

110 citations · 512 across the 28 of their papers we have counts for

collaborators
Showing 2023 · cs.DBShow all

4 papers · 2 filters

cs.DB2023

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching

Xiaocan Zeng, Pengfei Wang, Yuren Mao +3

Entity Matching (EM), which aims to identify all entity pairs referring to the same real-world entity from relational tables, is one of the most important tasks in real-world data…

cs.DB2023★ 1 cited

Real-time Workload Pattern Analysis for Large-scale Cloud Databases

Jiaqi Wang, Tianyi Li, Anni Wang +7

Hosting database services on cloud systems has become a common practice. This has led to the increasing volume of database workloads, which provides the opportunity for pattern ana…

cs.DB2023★ 2 cited

Modern Data Pricing Models: Taxonomy and Comprehensive Survey

Xiaoye Miao, Huanhuan Peng, Xinyu Huang +3

Data play an increasingly important role in smart data analytics, which facilitate many data-driven applications. The goal of various data markets aims to alleviate the issue of is…

cs.DB2023★ 67 cited

LDPTrace: Locally Differentially Private Trajectory Synthesis

Yuntao Du, Yujia Hu, Zhikun Zhang +4

Trajectory data has the potential to greatly benefit a wide-range of real-world applications, such as tracking the spread of the disease through people's movement patterns and prov…

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