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Computer Science

D-Index
37
Citations
41861
World Ranking
10423
National Ranking
4348

Overview

Xiaowei Xu is a researcher affiliated with the University of Arkansas at Little Rock in the United States. Their academic contributions span predominantly within the field of Computer Science, with a focused engagement on several interconnected subfields.

Their main areas of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Immunology

Xiaowei Xu's research topics notably cover:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • COVID-19 diagnosis using AI
  • Aquaculture disease management and microbiota
  • Advanced Text Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Radiomics and Machine Learning in Medical Imaging

Recent papers authored or co-authored by Xiaowei Xu include:

  • "Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2023" (2022), published in Nucleic Acids Research
  • "Tumor Mutation Burden and Immune Invasion Characteristics in Triple Negative Breast Cancer: Genome High-Throughput Data Analysis" (2021), published in Frontiers in Immunology
  • "Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation" (2020), published in IEEE Transactions on Circuits and Systems for Video Technology
  • "The associations between TMAO-related metabolites and blood lipids and the potential impact of rosuvastatin therapy" (2022), published in Lipids in Health and Disease
  • "How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images" (2023), published on arXiv (Cornell University)

Frequent publication venues for Xiaowei Xu feature:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Aquaculture
  • Multimedia Tools and Applications
  • SSRN Electronic Journal

The researcher has collaborated extensively with colleagues including:

  • Yiyu Shi
  • Jingfa Xiao
  • Xinrong Hu
  • Dewen Zeng
  • Jiahua Dong

Best Publications

  • A density-based algorithm for discovering clusters in large spatial Databases with Noise

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Xiaowei Xu

  • DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN

    Erich Schubert;Jörg Sander;Martin Ester;Hans Peter Kriegel

  • Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

    Jörg Sander;Martin Ester;Hans-Peter Kriegel;Xiaowei Xu

  • A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Xiaowei Xu

  • SCAN: a structural clustering algorithm for networks

    Xiaowei Xu;Nurcan Yuruk;Zhidan Feng;Thomas A. J. Schweiger

  • Frequent term-based text clustering

    Florian Beil;Martin Ester;Xiaowei Xu

  • Incremental Clustering for Mining in a Data Warehousing Environment

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Michael Wimmer

  • A distribution-based clustering algorithm for mining in large spatial databases

    Xiaowei Xu;M. Ester;H.-P. Kriegel;J. Sander

  • Probabilistic memory-based collaborative filtering

    Kai Yu;A. Schwaighofer;V. Tresp;Xiaowei Xu

  • A Fast Parallel Clustering Algorithm for Large Spatial Databases

    Xiaowei Xu;Jochen Jäger;Hans-Peter Kriegel

  • Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification

    Martin Ester;Hans-Peter Kriegel;Xiaowei Xu

  • Representative sampling for text classification using support vector machines

    Zhao Xu;Kai Yu;Volker Tresp;Xiaowei Xu

  • In silico drug repositioning: what we need to know.

    Zhichao Liu;Hong Fang;Kelly Reagan;Xiaowei Xu;Xiaowei Xu

  • A database interface for clustering in large spatial databases

    Martin Ester;Hans-Peter Kriegel;Xiaowei Xu

  • What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

    Jiahua Dong;Yang Cong;Gan Sun;Bineng Zhong

  • Mining FDA drug labels using an unsupervised learning technique--topic modeling.

    Halil Bisgin;Zhichao Liu;Hong Fang;Xiaowei Xu;Xiaowei Xu

  • A Study of Homophily on Social Media

    Halil Bisgin;Nitin Agarwal;Xiaowei Xu

  • A structural approach for finding functional modules from large biological networks

    Mutlu Mete;Fusheng Tang;Xiaowei Xu;Nurcan Yuruk

  • Graph-based review spammer group detection

    Zhuo Wang;Songmin Gu;Xiangnan Zhao;Xiaowei Xu

  • Clustering for Mining in Large Spatial Databases.

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Xiaowei Xu

Frequent Co-Authors

Hans-Peter Kriegel
Hans-Peter Kriegel Ludwig-Maximilians-Universität München
Martin Ester
Martin Ester Simon Fraser University
Weida Tong
Weida Tong National Center for Toxicological Research
Jörg Sander
Jörg Sander University of Alberta
Gaohong He
Gaohong He Dalian University of Technology
Hong Fang
Hong Fang National Center for Toxicological Research
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Ji Liu
Ji Liu Facebook (United States)
Jian-Ping Wang
Jian-Ping Wang University of Minnesota
Yu Hen Hu
Yu Hen Hu University of Wisconsin–Madison

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