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VLDB 2026 Research / reviewers in the wild / expert

Junli Zhou

dblp:11/7252 · DBLP profile ↗
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3ranked-venue papers
2as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › epigenomics
ChIP-chip analysis		 0.112009
NTAP: for NimbleGen tiling array ChIP-chip data analysis · Bioinform. 2009
Bioinformatics and computational biology
epigenomics		 0.112009
NTAP: for NimbleGen tiling array ChIP-chip data analysis · Bioinform. 2009
Bioinformatics and computational biology › epigenomics › ChIP-seq analysis
peak detection		 0.012009
NTAP: for NimbleGen tiling array ChIP-chip data analysis · Bioinform. 2009

Methods — techniques the papers use, named apart from their topics

r · 0.1perl · 0.1
YearPublicationVenuePosition
2021 Three types of fuzzy covering-based rough set models
Junli Zhou, Fasheng Xu, Yanyong Guan, Hongkai Wang 0001
 Fuzzy Sets Syst.1
2020 Notes on [B. Yang, B.Q. Hu, On some types of fuzzy covering-based rough sets, Fuzzy Sets Syst. 312 (2017) 36-65]
Junli Zhou, Yanyong Guan, Fasheng Xu, Hongkai Wang 0001
 Fuzzy Sets Syst.1
2009 NTAP: for NimbleGen tiling array ChIP-chip data analysis
abstract
SUMMARY: NTAP is designed to analyze ChIP-chip data generated by the NimbleGen tiling array platform and to accomplish various pattern recognition tasks that are useful especially for epigenetic studies. The modular design of NTAP makes the data processing highly customizable. Users can either use NTAP to perform the full process of NimbleGen tiling array data analysis, or choose post-processing modules in NTAP to analyze pre-processed epigenetic data generated by other platforms. The output of NTAP can be saved in standard GFF format files and visualized in GBrowse. AVAILABILITY AND IMPLEMENTATION: The source code of NTAP is freely available at http://ntap.cbi.pku.edu.cn/. It is implemented in Perl and R and can be used on Linux, Mac and Windows platforms.
Kun He 0012, Xueyong Li, Junli Zhou, Xingwang Deng, Jingchu Luo
 Bioinform.3