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Xiaoping Liao

dblp:18/471 · DBLP profile ↗
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6ranked-venue papers
0as first author
4since 2021 · last 2025
—ORCID · conflict

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

Artificial intelligence and machine learning · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2Systems, architecture and hardware · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

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.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 50% Computational fabrication · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › machining
feedrate scheduling
0.612022
NURBS Interpolator with Scheduling Scheme Combining Cubic and Quartic S-shaped Feedrate Profiles Under Drive and Chord Error Constraints · Comput. Aided Des. 2022
Geometric modeling and processing › computer-aided design › computer-aided geometric design
NURBS interpolation
0.612022
NURBS Interpolator with Scheduling Scheme Combining Cubic and Quartic S-shaped Feedrate Profiles Under Drive and Chord Error Constraints · Comput. Aided Des. 2022
Bioinformatics and computational biology
genomics
0.112011
In-depth annotation of SNPs arising from resequencing projects using NGS-SNP · Bioinform. 2011
Bioinformatics and computational biology › genomics › variant annotation
SNP annotation
0.112011
In-depth annotation of SNPs arising from resequencing projects using NGS-SNP · Bioinform. 2011
Bioinformatics and computational biology › genomics › variant annotation
SNP functional annotation
0.112011
In-depth annotation of SNPs arising from resequencing projects using NGS-SNP · Bioinform. 2011

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

orthologous sequence comparison · 0.1
YearPublicationVenuePosition
2025 Process planning of parameter intelligent adjustment for batch machining based on historical data segmented modeling
Shiying Tu, Xiaoping Liao
Eng. Appl. Artif. Intell.5
2025 Robust optimization algorithm of RF MEMS switches considering uncertainties
Hao Yan 0002, Yaning Jia, Chuangyuan Zeng, Xiaoping Liao, Xiao Shi 0001
Integr.4
2022 Investigating the multi-objective optimization of quality and efficiency using deep reinforcement learning
Zhenhui Wang, Chaoyi Chen, Junyan Ma, Xiaoping Liao
Appl. Intell.5
2022 NURBS Interpolator with Scheduling Scheme Combining Cubic and Quartic S-shaped Feedrate Profiles Under Drive and Chord Error Constraints
Bingcai Wu, Junyan Ma, Lutao Wei, Xiaoping Liao
Comput. Aided Des.4
2012 Sparse Learning Based Linear Coherent Bi-clustering
Yi Shi 0005, Xiaoping Liao, Guohui Lin, Dale Schuurmans
WABI2
2011 In-depth annotation of SNPs arising from resequencing projects using NGS-SNP
abstract
SUMMARY: NGS-SNP is a collection of command-line scripts for providing rich annotations for SNPs identified by the sequencing of whole genomes from any organism with reference sequences in Ensembl. Included among the annotations, several of which are not available from any existing SNP annotation tools, are the results of detailed comparisons with orthologous sequences. These comparisons can, for example, identify SNPs that affect conserved residues, or alter residues or genes linked to phenotypes in another species. AVAILABILITY: NGS-SNP is available both as a set of scripts and as a virtual machine. The virtual machine consists of a Linux operating system with all the NGS-SNP dependencies pre-installed. The source code and virtual machine are freely available for download at http://stothard.afns.ualberta.ca/downloads/NGS-SNP/. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Jason R. Grant, Adriano S. Arantes, Xiaoping Liao, Paul Stothard
Bioinform.3