World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10091
World Ranking
4872
National Ranking
144

Research.com Recognitions

  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and image analysis

Overview

Xue Li is affiliated with the University of Queensland in Australia and has a substantial body of research primarily in the fields of Computer Science and Engineering. Their work spans numerous subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering, and Mechanical Engineering.

The scientist's major research topics include:

  • Topic Modeling
  • Vibrio bacteria research studies
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Machine Learning in Bioinformatics

Xue Li has coauthored extensively with several researchers, notable frequent collaborators are:

  • Mao Ye
  • Yiquan Zhang
  • Renfei Lu
  • Miaomiao Zhang
  • Xinjian Yuan

The scientist has published in multiple venues, with the highest number of publications appearing in:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Research Square (Research Square)
  • Journal of Physics Conference Series
  • IEEE Access

Among recent papers, the publications where Xue Li is the primary author include:

  • MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification, 2021, International Journal of Applied Earth Observation and Geoinformation

Other notable recent papers that list Xue Li as an author in collaborative works include:

  • Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications, 2020, IEEE Transactions on Computational Social Systems
  • Therapeutic targets for inflammatory bowel disease: proteome-wide Mendelian randomization and colocalization analyses, 2023, EBioMedicine
  • Integrating gene annotation with orthology inference at scale, 2023, Science
  • Recent applications of machine learning in alloy design: A review, 2023, Materials Science and Engineering R Reports

Xue Li has contributed to book publications under Springer Science+Business Media, with multiple editions titled "Advanced Data Mining and Applications" released in 2022.

The scientist has received recognition through awards including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2016
  • Fellow of the International Association for Pattern Recognition (IAPR), 2010, awarded for contributions to pattern recognition and image analysis

Best Publications

  • Time weight collaborative filtering

    Yi Ding;Xue Li

  • A survey of sentiment analysis in social media

    Lin Yue;Weitong Chen;Xue Li;Xue Li;Wanli Zuo

  • Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

    Tong Chen;Xue Li;Hongzhi Yin;Jun Zhang

  • RFID Data Management: Challenges and Opportunities

    R. Derakhshan;M.E. Orlowska;Xue Li

  • Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition

    Lin Wu;Yang Wang;Xue Li;Junbin Gao

  • Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification

    Lin Wu;Yang Wang;Junbin Gao;Xue Li

  • PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction

    Hongxu Chen;Hongzhi Yin;Weiqing Wang;Hao Wang

  • Enabling Next-Generation RFID Applications: Solutions and Challenges

    Q.Z. Sheng;Xue Li;S. Zeadally

  • Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

    Shaoxiong Ji;Shirui Pan;Xue Li;Erik Cambria

  • A Framework for Electricity Price Spike Analysis With Advanced Data Mining Methods

    Jun Hua Zhao;Zhao Yang Dong;Xue Li;Kit Po Wong

  • Electricity market price spike forecast with data mining techniques

    Xin Lu;Zhao Yang Dong;Xue Li

  • Learning Private Neural Language Modeling with Attentive Aggregation

    Shaoxiong Ji;Shirui Pan;Guodong Long;Xue Li

  • Deep adaptive feature embedding with local sample distributions for person re-identification

    Lin Wu;Yang Wang;Junbin Gao;Xue Li

  • What-and-where to match: Deep spatially multiplicative integration networks for person re-identification

    Lin Wu;Yang Wang;Xue Li;Xue Li;Junbin Gao

  • Cyber Physical Power Systems: Architecture,Implementation Techniques and Challenges

    J. Zhao;F. Wen;Y. Xue;X. Li

  • An Effective Approach for Cyberbullying Detection

    Vinita Nahar;Xue Li;Chaoyi Pang

  • Emerging event detection in social networks with location sensitivity

    Sayan Unankard;Xue Li;Mohamed A. Sharaf

  • Abnormal crowd behavior detection using high-frequency and spatio-temporal features

    Bo Wang;Mao Ye;Xue Li;Fengjuan Zhao

  • Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength

    Lina Yao;Quan Z. Sheng;Xue Li;Tao Gu

  • Online human gesture recognition from motion data streams

    Xin Zhao;Xue Li;Chaoyi Pang;Xiaofeng Zhu

  • Recency-based collaborative filtering

    Yi Ding;Xue Li;Maria E. Orlowska

  • Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

    Tong Chen;Lin Wu;Xue Li;Jun Zhang

Frequent Co-Authors

Quan Z. Sheng
Quan Z. Sheng Macquarie University
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Maria E. Orlowska
Maria E. Orlowska Polish-Japanese Institute of Information Technology
Hongzhi Yin
Hongzhi Yin University of Queensland
Guodong Long
Guodong Long University of Technology Sydney
Dawei Song
Dawei Song The Open University
Zi Huang
Zi Huang University of Queensland
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Xiaojun Chang
Xiaojun Chang University of Technology Sydney

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