Xizhan Gao

Orcid: 0000-0001-5575-6786

According to our database1, Xizhan Gao authored at least 49 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation.
Pattern Recognit., February, 2024

Deep Self-supervised Subspace Clustering with Triple Loss.
Proceedings of the MultiMedia Modeling - 30th International Conference, 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

Constraint-weighted support vector ordinal regression to resist constraint noises.
Inf. Sci., November, 2023

Large margin distribution multi-class supervised novelty detection.
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

Self-training adversarial learning for cross-domain retinal OCT fluid segmentation.
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

Self-Attention based Deep Hash Learning Method for Efficient Image Retrieval.
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

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

Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2022

Neighborhood preserving embedding on Grassmann manifold for image-set analysis.
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

Vision Transformer with Depth Auxiliary Information for Face Anti-spoofing.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Deep Dictionary Pair Learning for SAR Image Classification.
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

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

MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection.
IET Image Process., 2021

DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network.
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
Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation.
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
Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis.
IEEE Signal Process. Lett., 2019

Multi-model fusion metric learning for image set classification.
Knowl. Based Syst., 2019

Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification.
Expert Syst. Appl., 2019

Kernel Generalized Canonical Correlation and a New Feature Fusion Strategy.
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

Kernel Dual Linear Regression for Face Image Set Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Multiple Instance Learning via Semi-supervised Laplacian TSVM.
Neural Process. Lett., 2017

Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition.
Expert Syst. Appl., 2017

2016
A novel method for classification of matrix data using Twin Multiple Rank SMMs.
Appl. Soft Comput., 2016

2015
Projection twin SMMs for 2d image data classification.
Neural Comput. Appl., 2015

TBSTM: A Novel and Fast Nonlinear Classification Method for Image Data.
Int. J. Pattern Recognit. Artif. Intell., 2015


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