Xiaobo Shen

Orcid: 0000-0001-8494-4532

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, China
  • Nanyang Technological University, School of Computer and Engineering, Singapore (2017 - 2018)
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, China (PhD 2017)


According to our database1, Xiaobo Shen authored at least 78 papers between 2013 and 2024.

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Bibliography

2024
Distributed Manifold Hashing for Image Set Classification and Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Efficient Feature Reconstruction via l<sub>2,1</sub>-Norm Regularization for Few-Shot Classification.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Discriminative Geometric-Structure-Based Deep Hashing for Large-Scale Image Retrieval.
IEEE Trans. Cybern., October, 2023

Spatiotemporal consistent selection-correction network for deep interactive image segmentation.
Neural Comput. Appl., May, 2023

Compact network embedding for fast node classification.
Pattern Recognit., April, 2023

Sparse Representation Classifier Guided Grassmann Reconstruction Metric Learning With Applications to Image Set Analysis.
IEEE Trans. Multim., 2023

Hierarchical Hashing Learning for Image Set Classification.
IEEE Trans. Image Process., 2023

Contrastive Transformer Hashing for Compact Video Representation.
IEEE Trans. Image Process., 2023

Graph Convolutional Incomplete Multi-modal Hashing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Deep Co-Image-Label Hashing for Multi-Label Image Retrieval.
IEEE Trans. Multim., 2022

Discrete Metric Learning for Fast Image Set Classification.
IEEE Trans. Image Process., 2022

Hyperspectral Image Few-Shot Classification Network Based on the Earth Mover's Distance.
IEEE Trans. Geosci. Remote. Sens., 2022

Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods.
IEEE Trans. Cybern., 2022

Unsupervised Multiview Distributed Hashing for Large-Scale Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2022

Neighborhood preserving embedding on Grassmann manifold for image-set analysis.
Pattern Recognit., 2022

The Emerging Trends of Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multiview Graph Convolutional Hashing for Multisource Remote Sensing Image Retrieval.
IEEE Geosci. Remote. Sens. Lett., 2022

Online unsupervised cross-view discrete hashing for large-scale retrieval.
Appl. Intell., 2022

Learning Canonical F-Correlation Projection for Compact Multiview Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fractional Multiset Coherent Super-Resolution Representation for Low Resolution Face Recognition.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Multiview Inherent Graph Hashing for Large-Scale Remote Sensing Image Retrieval.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Unsupervised Discriminative Deep Hashing With Locality and Globality Preservation.
IEEE Signal Process. Lett., 2021

Label group diffusion for image and image pair segmentation.
Pattern Recognit., 2021

Adaptive graph guided concept factorization on Grassmann manifold.
Inf. Sci., 2021

Composite nonlinear multiset canonical correlation analysis for multiview feature learning and recognition.
Concurr. Comput. Pract. Exp., 2021

Image Haze Removal Algorithm Based on Nonsubsampled Contourlet Transform.
IEEE Access, 2021

Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Survey on Multi-Output Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

When Gaussian Process Meets Big Data: A Review of Scalable GPs.
IEEE Trans. Neural Networks Learn. Syst., 2020

Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020

Prototype learning and collaborative representation using Grassmann manifolds for image set classification.
Pattern Recognit., 2020

Locality-aware group sparse coding on Grassmann manifolds for image set classification.
Neurocomputing, 2020

Discriminant sub-dictionary learning with adaptive multiscale superpixel representation for hyperspectral image classification.
Neurocomputing, 2020

Semi-Paired Asymmetric Deep Cross-Modal Hashing Learning.
IEEE Access, 2020

Complex-Valued Spatial-Scattering Separated Attention Network for Polsar Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Supervised Multi-View Distributed Hashing.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Hyperspectral Imagery Classification via Stochastic HHSVMs.
IEEE Trans. Image Process., 2019

Discrete Multi-graph Hashing for Large-Scale Visual Search.
Neural Process. Lett., 2019

Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods.
CoRR, 2019

Face Hallucination Using Locality Preserving Canonical Correlation Analysis.
Aust. J. Intell. Inf. Process. Syst., 2019

Sparse Extreme Multi-label Learning with Oracle Property.
Proceedings of the 36th International Conference on Machine Learning, 2019

Memetic Evolution Strategy for Reinforcement Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Multilabel Prediction via Cross-View Search.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multiview Discrete Hashing for Scalable Multimedia Search.
ACM Trans. Intell. Syst. Technol., 2018

A novel multi-view dimensionality reduction and recognition framework with applications to face recognition.
J. Vis. Commun. Image Represent., 2018

A Word-Embedding-Based Steganalysis Method for Linguistic Steganography via Synonym Substitution.
IEEE Access, 2018

Discrete Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Discrete Prototype Multilabel Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Parallel Canonical Correlations for Scale-Adaptive Low Resolution Face Recognition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Hyper-graph Regularized Multi-view Matrix Factorization for Vehicle Identification.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Low Resolution Face Recognition and Reconstruction Via Deep Canonical Correlation Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Compact Multi-Label Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Semi-Paired Discrete Hashing: Learning Latent Hash Codes for Semi-Paired Cross-View Retrieval.
IEEE Trans. Cybern., 2017

Laplacian multiset canonical correlations for multiview feature extraction and image recognition.
Multim. Tools Appl., 2017

Local and global regularized concept factorization for image clustering.
J. Electronic Imaging, 2017

Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing.
Int. J. Wavelets Multiresolution Inf. Process., 2017

Graph regularized multilayer concept factorization for data representation.
Neurocomputing, 2017

A Fast Generalized Low Rank Representation Framework Based on L<sub>2, p</sub> Norm Minimization for Subspace Clustering.
IEEE Access, 2017

Sparse Embedded k-Means Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Fractional discriminative multiview correlation projection for face feature fusion.
Proceedings of the 20th International Conference on Information Fusion, 2017

Compact Multiple-Instance Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Compressed K-Means for Large-Scale Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Robust Cross-view Hashing for Multimedia Retrieval.
IEEE Signal Process. Lett., 2016

Semi-paired hashing for cross-view retrieval.
Neurocomputing, 2016

Learning multi-kernel multi-view canonical correlations for image recognition.
Comput. Vis. Media, 2016

Fractional-Order Multiview Discriminant Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Semi-discriminative Multiview Canonical Correlation Analysis for Recognition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Double Constrained NMF for Partial Multi-View Clustering.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Deep Convex NMF for Image Clustering.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2015
Orthogonal Multiset Canonical Correlation Analysis based on Fractional-Order and Its Application in Multiple Feature Extraction and Recognition.
Neural Process. Lett., 2015

A unified multiset canonical correlation analysis framework based on graph embedding for multiple feature extraction.
Neurocomputing, 2015

Multi-view Latent Hashing for Efficient Multimedia Search.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Multiview Correlation Feature Learning with Multiple Kernels.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Discriminative Scatter Regularized CCA for Multiview Image Feature Learning and Recognition.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

Sparse Discrimination based Multiset Canonical Correlation Analysis for Multi-Feature Fusion and Recognition.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
A novel semi-supervised canonical correlation analysis and extensions for multi-view dimensionality reduction.
J. Vis. Commun. Image Represent., 2014

2013
Orthogonal canonical correlation analysis and its application in feature fusion.
Proceedings of the 16th International Conference on Information Fusion, 2013


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