H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 114 Citations 47,897 843 World Ranking 75 National Ranking 9

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to computing on and learning from higher-order data

2020 - Fellow of the Indian National Academy of Engineering (INAE)

2017 - Member of Academia Europaea

2015 - ACM Distinguished Member

2013 - OSA Fellows For achievements in image and video processing, pattern recognition and imaging.

2011 - SPIE Fellow

Member of the European Academy of Sciences and Arts

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Xuelong Li spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Machine learning. His work in Image processing, Cluster analysis, Pixel, Linear discriminant analysis and Discriminative model are all subfields of Artificial intelligence research. The concepts of his Pattern recognition study are interwoven with issues in Image, Iterative reconstruction and Feature.

As a part of the same scientific family, Xuelong Li mostly works in the field of Computer vision, focusing on Pattern recognition and, on occasion, Face. His Feature extraction research is multidisciplinary, relying on both Subspace topology, Histogram, Sparse approximation, Feature learning and Feature selection. His work carried out in the field of Machine learning brings together such families of science as Contextual image classification, Visualization and Robustness.

His most cited work include:

  • General Tensor Discriminant Analysis and Gabor Features for Gait Recognition (1012 citations)
  • Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval (783 citations)
  • Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (712 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Cluster analysis. His research links Machine learning with Artificial intelligence. His study looks at the intersection of Pattern recognition and topics like Subspace topology with Linear discriminant analysis.

Xuelong Li interconnects Visualization and Feature selection in the investigation of issues within Feature extraction. His Cluster analysis research incorporates themes from Algorithm, Graph, Data mining and Data set. His Graph research is multidisciplinary, incorporating elements of Theoretical computer science and Graph.

He most often published in these fields:

  • Artificial intelligence (72.73%)
  • Pattern recognition (44.56%)
  • Computer vision (27.17%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (72.73%)
  • Pattern recognition (44.56%)
  • Cluster analysis (13.69%)

In recent papers he was focusing on the following fields of study:

Xuelong Li mostly deals with Artificial intelligence, Pattern recognition, Cluster analysis, Algorithm and Graph. His work deals with themes such as Machine learning and Computer vision, which intersect with Artificial intelligence. He works mostly in the field of Pattern recognition, limiting it down to topics relating to Subspace topology and, in certain cases, Linear discriminant analysis and Constraint, as a part of the same area of interest.

His research in Cluster analysis intersects with topics in Embedding, Outlier and Data set. His biological study spans a wide range of topics, including Matrix decomposition, Manifold, Feature selection and Robustness. His Graph study integrates concerns from other disciplines, such as Data modeling, Autoencoder, Theoretical computer science and Graph.

Between 2019 and 2021, his most popular works were:

  • Detecting Coherent Groups in Crowd Scenes by Multiview Clustering (143 citations)
  • Ternary Adversarial Networks With Self-Supervision for Zero-Shot Cross-Modal Retrieval (83 citations)
  • Video Summarization With Attention-Based Encoder–Decoder Networks (76 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

Xuelong Li mainly focuses on Artificial intelligence, Pattern recognition, Feature extraction, Cluster analysis and Algorithm. His Artificial intelligence study frequently links to other fields, such as Machine learning. His Pattern recognition research integrates issues from Entropy and Feature.

His work in Feature extraction tackles topics such as Artificial neural network which are related to areas like Fuzzy clustering. His Cluster analysis study combines topics in areas such as Matrix decomposition, Manifold, Graph and Graph. The Algorithm study combines topics in areas such as Embedding, Field, Outlier, Kernel and Robustness.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

1227 Citations

Toward Scalable Systems for Big Data Analytics: A Technology Tutorial

Han Hu;Yonggang Wen;Tat-Seng Chua;Xuelong Li.
IEEE Access (2014)

995 Citations

Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval

Dacheng Tao;Xiaoou Tang;Xuelong Li;Xindong Wu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

961 Citations

A Survey of Sparse Representation: Algorithms and Applications

Zheng Zhang;Yong Xu;Jian Yang;Xuelong Li.
IEEE Access (2015)

667 Citations

A survey of graph edit distance

Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li.
Pattern Analysis and Applications (2010)

627 Citations

Geometric Mean for Subspace Selection

Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

586 Citations

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

Yao Hu;Debing Zhang;Jieping Ye;Xuelong Li.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)

467 Citations

Supervised tensor learning

Dacheng Tao;Xuelong Li;Weiming Hu;S. Maybank.
international conference on data mining (2005)

452 Citations

Patch Alignment for Dimensionality Reduction

Tianhao Zhang;Dacheng Tao;Xuelong Li;Jie Yang.
IEEE Transactions on Knowledge and Data Engineering (2009)

425 Citations

Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen.
IEEE Transactions on Image Processing (2013)

409 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Xuelong Li

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University of Sydney

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Huawei Technologies (China)

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Feiping Nie

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Northwestern Polytechnical University

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Meng Wang

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Hefei University of Technology

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Yuan Yan Tang

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Licheng Jiao

Licheng Jiao

Xidian University

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Bo Du

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Wuhan University

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Shuicheng Yan

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National University of Singapore

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Zhao Zhang

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Hefei University of Technology

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University of Electronic Science and Technology of China

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Yang Yang

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Yong Xu

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Harbin Institute of Technology

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