Xiao Li

Zhibo Zhai

Pattern Recognit., March, 2024

Denoising matrix factorization for high-dimensional time series forecasting.

[BibT_eX]

[DOI]

Neural Comput. Appl., January, 2024

Pseudo-supervised contrastive learning with inter-class separability for generalized category discovery.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Selective-generative feature representations for generalized zero-shot open-set classification by learning a tightly clustered space.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

An adaptive class prototype generation framework for partial label learning.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

2023

Open zero-shot learning via asymmetric VAE with dissimilarity space.

[BibT_eX]

[DOI]

Zhibo Zhai

Zhonghao Chang

Inf. Sci., November, 2023

Center-VAE with discriminative and semantic-relevant fine-tuning features for generalized zero-shot learning.

[BibT_eX]

[DOI]

Zhibo Zhai

Zhonghao Chang

Signal Process. Image Commun., 2023

2022

Generalized zero-shot domain adaptation with target unseen class prototype learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

An active unseen sample selection framework for generalized zero-shot classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

2021

Generalized zero-shot classification via iteratively generating and selecting unseen samples.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2021

Low-rank embedded orthogonal subspace learning for zero-shot classification.

[BibT_eX]

[DOI]

Jichuan Liu

J. Vis. Commun. Image Represent., 2021

Bias alleviating generative adversarial network for generalized zero-shot classification.

[BibT_eX]

[DOI]

Haikun Li

Image Vis. Comput., 2021

2020

Learning discriminative and meaningful samples for generalized zero shot classification.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2020

Zero shot learning based on class visual prototypes and semantic consistency.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Learning domain invariant unseen features for generalized zero-shot classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

RSU-Assisted Traffic-Aware Routing Based on Reinforcement Learning for Urban Vanets.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Prototype adjustment for zero shot classification.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2019

Zero shot learning by partial transfer from source domain with L2, 1 norm constraint.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

2018

Reinforcement Learning Based Mobility Adaptive Routing for Vehicular Ad-Hoc Networks.

[BibT_eX]

[DOI]

Jinqiao Wu

Wirel. Pers. Commun., 2018

Learning unseen visual prototypes for zero-shot classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

2017

Domain adaptation from RGB-D to RGB images.

[BibT_eX]

[DOI]

Signal Process., 2017

Learning Coupled Classifiers with RGB images for RGB-D object recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Image classification by semisupervised sparse coding with confident unlabeled samples.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2017

Zero-shot classification by transferring knowledge and preserving data structure.

[BibT_eX]

[DOI]

Jinqiao Wu

Neurocomputing, 2017

Clustered intrinsic label correlations for multi-label classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

2016

Robust label compression for multi-label classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

2015

Supervised transfer kernel sparse coding for image classification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Multi-source transfer learning based on label shared subspace.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Projected Transfer Sparse Coding for cross domain image representation.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2015

Multi-label learning with discriminative features for each label.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Dependence maximization based label space dimension reduction for multi-label classification.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

2014

Multi-Label Learning Based on Label Entropy Guided Clustering.

[BibT_eX]

[DOI]