H. Xue

发表

Transfer learning with partial related "instance-feature" knowledge

Ke-Jia Chen, Hui Xue, Yunyun Wang, 2018, Neurocomputing.

Discriminative Regularization : A New Classifier Learning Method

Songcan Chen, Hui Xue, Songcan Chen, 2008 .

Orthogonality-based label correction in multi-class classification

Songcan Chen, H. Xue, 2013 .

Chapter 3 SVM : Support Vector Machines

H. Xue, Qiang Yang, 2009 .

Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles

H. Xue, Zheng-Fan Wu, Yi-Nan Feng, 2022, IJCAI.

Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier

Qiang Yang, Hui Xue, Songcan Chen, 2011, IEEE Transactions on Neural Networks.

Can under-exploited structure of original-classes help ECOC-based multi-class classification?

Hui Xue, Songcan Chen, Yunyun Wang, 2012, Neurocomputing.

A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization

Zhisong Pan, Hui Xue, Songcan Chen, 2010, Neural Processing Letters.

Discriminatively regularized least-squares classification

Qiang Yang, Hui Xue, Songcan Chen, 2009, Pattern Recognit..

Classifier learning with a new locality regularization method

Xiaoqin Zeng, Hui Xue, Songcan Chen, 2008, Pattern Recognit..

Glocalization pursuit support vector machine

Hui Xue, Songcan Chen, Songcan Chen, 2011, Neural Computing and Applications.

A primal perspective for indefinite kernel SVM problem

Yunyun Wang, Hui Xue, Xiaohong Chen, 2019, Frontiers of Computer Science.

SVM: Support Vector Machines

Qiang Yang, Songcan Chen, Wei Ding, 2011 .

Pointwise manifold regularization for semi-supervised learning

Yunyun Wang, Yating Shen, Jiao Han, 2020, Frontiers of Computer Science.

Semi-supervised manifold regularization with adaptive graph construction

Yan Meng, Yun Li, Hui Xue, 2017, Pattern Recognit. Lett..

Towards Safe Semi-supervised Classification: Adjusted Cluster Assumption via Clustering

Yan Meng, Hui Xue, Zhenyong Fu, 2017, Neural Processing Letters.

Semi-supervised classification learning by discrimination-aware manifold regularization

Hui Xue, Zhenyong Fu, Songcan Chen, 2015, Neurocomputing.

Discriminality-driven regularization framework for indefinite kernel machine

Hui Xue, Songcan Chen, Songcan Chen, 2014, Neurocomputing.

Semi-Supervised Discriminatively Regularized Classifier with Pairwise Constraints

Hui Xue, Yuqing Zhai, Jijian Huang, 2012, PRICAI.

A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data

Xiaohong Chen, Hui Xue, Songcan Chen, 2012, Pattern Recognit..

Maximum Margin Tree Error Correcting Output Codes

Xiaohong Chen, Hui Xue, Fa Zheng, 2016, PRICAI.

Source-Free Unsupervised Domain Adaptation with Sample Transport Learning

Hui Xue, Qing Tian, Shun Peng, 2021, J. Comput. Sci. Technol..

Logistic Boosting Regression for Label Distribution Learning

Xin Geng, Chao Xing, Hui Xue, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation

Hui Xue, Qiao Liu, H. Xue, 2021, IJCAI.

Non-local duplicate pooling network for salient object detection

Hui Xue, Jundi Ding, Jun Jiao, 2021, Applied Intelligence.

Conditional Self-Supervised Learning for Few-Shot Classification

Hui Xue, Lu Zhang, Yuexuan An, 2021, IJCAI.

Multi-hop Hierarchical Graph Neural Networks

Hui Xue, Xin-Kai Sun, Wei-Xiang Sun, 2020, 2020 IEEE International Conference on Big Data and Smart Computing (BigComp).

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification

Daoqiang Zhang, Mingxia Liu, Hui Xue, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

BaKer-Nets: Bayesian Random Kernel Mapping Networks

Hui Xue, Zheng-Fan Wu, H. Xue, 2020, IJCAI.

Deep Spectral Kernel Learning

Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun, 2019, IJCAI.

A Primal Framework for Indefinite Kernel Learning

Songcan Chen, Yunyun Wang, H. Xue, 2019, Neural Processing Letters.

Emotion Distribution Recognition from Facial Expressions

Xin Geng, Ying Zhou, Hui Xue, 2015, ACM Multimedia.

Semi-Paired Multiview Clustering Based on Nonnegative Matrix Factorization

I. A. Matveev, X. Yao, X. Chen, 2019, Journal of Computer and Systems Sciences International.

Alternative robust local embedding

Hui Xue, Song-can Chen, H. Xue, 2007, 2007 International Conference on Wavelet Analysis and Pattern Recognition.

Ke-Jia Chen, Dan Zhao, Yunyun Wang, 2019, PAKDD.

Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space

Hui Xue, Zheng-Fan Wu, Weimin Bai, 2021, IJCAI.

Structural Support Vector Machine

Qiang Yang, Hui Xue, Songcan Chen, 2008, ISNN.

Sketch discriminatively regularized online gradient descent classification

H. Xue, Zhen Ren, 2020, Applied intelligence (Boston).

Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming

Xiaohong Chen, Hui Xue, Yunyun Wang, 2017, AAAI.

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data

Hui Xue, Songcan Chen, Jijian Huang, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Multiple Indefinite Kernel Learning for Feature Selection

Yu Song, Hui Xue, Hai-Ming Xu, 2017, IJCAI.

Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss

H. Xue, Yuexuan An, Yongjuan Che, 2023, International Joint Conference on Artificial Intelligence.

Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View

H. Xue, Pengfei Fang, Meimei Yang, 2023, IJCAI.

Self-corrected unsupervised domain adaptation

Songcan Chen, Hui Xue, Yunyun Wang, 2021, Frontiers of Computer Science.

Individual‐level brain morphological similarity networks: Current methodologies and applications

H. Xue, Kaizhong Xue, Yujie Zhang, 2023, CNS neuroscience & therapeutics.

Discrimination-Aware Domain Adversarial Neural Network

Yunyun Wang, H. Xue, Chao Wang, 2020, Journal of Computer Science and Technology.

A maximum margin clustering algorithm based on indefinite kernels

Xiaohong Chen, Sen Li, Yunyun Wang, 2019, Frontiers of Computer Science.

Support Vector Machine incorporated with feature discrimination

Hui Xue, Songcan Chen, Yunyun Wang, 2011, Expert Syst. Appl..

Structure-Embedded AUC-SVM

Hui Xue, Songcan Chen, Yunyun Wang, 2010, Int. J. Pattern Recognit. Artif. Intell..

Indefinite twin support vector machine with DC functions programming

H. Xue, Yuexuan An, 2022, Pattern Recognit..

Large correlation analysis

Xiaohong Chen, Hui Xue, Songcan Chen, 2011, Appl. Math. Comput..

Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation

Yunyun Wang, Hui Xue, Songcan Chen, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Non-convex approximation based l0-norm multiple indefinite kernel feature selection

Yu Song, Hui Xue, H. Xue, 2019, Applied Intelligence.