Xizhan Gao
Orcid: 0000-0001-5575-6786
According to our database1,
Xizhan Gao
authored at least 54 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation.
Pattern Recognit., February, 2024
IEEE Signal Process. Lett., 2024
Expert Syst. Appl., 2024
Uncertainty-weighted prototype active learning in domain adaptive semantic segmentation.
Expert Syst. Appl., 2024
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
2023
Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
An Improved Fixed-Time Stability Theorem and its Application to the Synchronization of Stochastic Impulsive Neural Networks.
Neural Process. Lett., December, 2023
Inf. Sci., November, 2023
Expert Syst. Appl., August, 2023
A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market.
Neural Networks, July, 2023
A fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image segmentation.
IET Comput. Vis., March, 2023
Comput. Biol. Medicine, March, 2023
Sparse Representation Classifier Guided Grassmann Reconstruction Metric Learning With Applications to Image Set Analysis.
IEEE Trans. Multim., 2023
Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection.
IEEE Trans. Instrum. Meas., 2023
Two-directional two-dimensional fractional-order embedding canonical correlation analysis for multi-view dimensionality reduction and set-based video recognition.
Expert Syst. Appl., 2023
Spatial-contextual variational autoencoder with attention correction for anomaly detection in retinal OCT images.
Comput. Biol. Medicine, 2023
Predefined-Time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the 6th International Conference on Big Data Technologies, 2023
2022
Fixed/Predefined-time synchronization of memristor-based complex-valued BAM neural networks for image protection.
Frontiers Neurorobotics, September, 2022
IEEE Trans. Image Process., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Pattern Recognit., 2022
A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks.
Neural Networks, 2022
Class-specific representation based distance metric learning for image set classification.
Knowl. Based Syst., 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Fast High-Order Sparse Subspace Clustering With Cumulative MRF for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2021
MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection.
IET Image Process., 2021
Frontiers Neuroinformatics, 2021
Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
AFLLC: A Novel Active Contour Model Based on Adaptive Fractional Order Differentiation and Local-Linearly Constrained Bias Field.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
IEEE J. Biomed. Health Informatics, 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
Sparse and collaborative representation based kernel pairwise linear regression for image set classification.
Expert Syst. Appl., 2020
2019
IEEE Signal Process. Lett., 2019
Knowl. Based Syst., 2019
Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification.
Expert Syst. Appl., 2019
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019
Quantitative Estimation of Rainfall Rate Intensity Based on Deep Convolutional Neural Network and Radar Reflectivity Factor.
Proceedings of the 2nd International Conference on Big Data Technologies, 2019
2018
Multiple rank multi-linear kernel support vector machine for matrix data classification.
Int. J. Mach. Learn. Cybern., 2018
2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition.
Neurocomputing, 2018
MRCCA: A novel CCA based method and its application in feature extraction and fusion for matrix data.
Appl. Soft Comput., 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Neural Process. Lett., 2017
Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition.
Expert Syst. Appl., 2017
2016
Appl. Soft Comput., 2016
2015
Int. J. Pattern Recognit. Artif. Intell., 2015