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researcher

K. Zeng

18 papers hereh-index 435.8k citations169 works total

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

author position
  • first author1
  • middle author9
  • last author7

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.NI7
  • cs.CR3
  • cs.DB3
  • cs.AI2
  • eess.SP2
  • cs.LG1
same name
  • K. Zeng — 11 papers, h 10
  • K. Zeng — 8 papers, h 54
  • K. Zeng — 5 papers, h 4
  • K. Zeng — 3 papers, h 2
  • K. Zeng — 2 papers, h 2
  • K. Zeng — 1 paper, h 8

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
20172026
most citedCardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

17 citations · 26 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CR2021

Improving Dither Modulation based Robust Steganography by Overflow Suppression

Kai Zeng, Kejiang Chen, Yaofei Wang +2

Nowadays, people are sharing their pictures on online social networks (OSNs), so OSN is a good platform for Steganography. But OSNs usually perform JPEG compression on the uploaded…

cs.DB2021★ 17 cited

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

Yuxing Han, Ziniu Wu, Peizhi Wu +11

Cardinality estimation (CardEst) plays a significant role in generating high-quality query plans for a query optimizer in DBMS. In the last decade, an increasing number of advanced…

cs.DB2021

A Unified Transferable Model for ML-Enhanced DBMS

Ziniu Wu, Pei Yu, Peilun Yang +6

Recently, the database management system (DBMS) community has witnessed the power of machine learning (ML) solutions for DBMS tasks. Despite their promising performance, these exis…

cs.DB2021★ 3 cited

A Pluggable Learned Index Method via Sampling and Gap Insertion

Yaliang Li, Daoyuan Chen, Bolin Ding +2

Database indexes facilitate data retrieval and benefit broad applications in real-world systems. Recently, a new family of index, named learned index, is proposed to learn hidden y…

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