2022 - Research.com Computer Science in China Leader Award
2020 - Fellow of the Indian National Academy of Engineering (INAE)
2020 - ACM Fellow For contributions to computing on and learning from higher-order data
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
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.
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.
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.
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.
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)
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
Han Hu;Yonggang Wen;Tat-Seng Chua;Xuelong Li.
IEEE Access (2014)
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)
A Survey of Sparse Representation: Algorithms and Applications
Zheng Zhang;Yong Xu;Jian Yang;Xuelong Li.
IEEE Access (2015)
A survey of graph edit distance
Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li.
Pattern Analysis and Applications (2010)
Geometric Mean for Subspace Selection
Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)
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)
Supervised tensor learning
Dacheng Tao;Xuelong Li;Weiming Hu;S. Maybank.
international conference on data mining (2005)
Patch Alignment for Dimensionality Reduction
Tianhao Zhang;Dacheng Tao;Xuelong Li;Jie Yang.
IEEE Transactions on Knowledge and Data Engineering (2009)
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)
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