Hui Xue

According to our database, Hui Xue authored at least 61 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory.

Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Reinforced Self-Supervised Training for Few-Shot Learning.

Zhichao Yan, Yuexuan An, Hui Xue

IEEE Signal Process. Lett., 2024

Text Image Inpainting via Global Structure-Guided Diffusion Models.

Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On learning distribution alignment for video-based visible-infrared person re-identification.

Pengfei Fang, Yaojun Hu, Shipeng Zhu, Hui Xue

Comput. Vis. Image Underst., December, 2023

FATE: a three-stage method for arithmetical exercise correction.

Qipeng Zhu, Zhuoyan Luo, Shipeng Zhu, Qi Jing, Zihang Xu, Hui Xue

Neural Comput. Appl., November, 2023

From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning.

Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

PEAN: A Diffusion-based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution.

Zuoyan Zhao, Shipeng Zhu, Pengfei Fang, Hui Xue

CoRR, 2023

CosNet: A Generalized Spectral Kernel Network.

Yanfang Xue, Pengfei Fang, Jinyue Tian, Shipeng Zhu, Hui Xue

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Meimei Yang, Pengfei Fang, Hui Xue

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Yongjuan Che, Yuexuan An, Hui Xue

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning to Learn from Corrupted Data for Few-Shot Learning.

Yuexuan An, Xingyu Zhao, Hui Xue

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network.

Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Indefinite twin support vector machine with DC functions programming.

Yuexuan An, Hui Xue

Pattern Recognit., 2022

Re-Weighting Large Margin Label Distribution Learning for Classification.

Jing Wang, Xin Geng, Hui Xue

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-corrected unsupervised domain adaptation.

Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen

Frontiers Comput. Sci., 2022

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

Zheng-Fan Wu, Yi-Nan Feng, Hui Xue

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Learning graph-level representation from local-structural distribution with Graph Neural Networks.

Wei-Xiang Sun, Hui Xue

Knowl. Based Syst., 2021

Source-Free Unsupervised Domain Adaptation with Sample Transport Learning.

Qing Tian, Chuang Ma, Feng-Yuan Zhang, Shun Peng, Hui Xue

J. Comput. Sci. Technol., 2021

Pointwise manifold regularization for semi-supervised learning.

Yunyun Wang, Jiao Han, Yating Shen, Hui Xue

Frontiers Comput. Sci., 2021

Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space.

Zheng-Fan Wu, Hui Xue, Weimin Bai

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation.

Qiao Liu, Hui Xue

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Conditional Self-Supervised Learning for Few-Shot Classification.

Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Multiple indefinite kernel learning for feature selection.

Hui Xue, Yu Song, Haiming Xu

Knowl. Based Syst., 2020

Discrimination-Aware Domain Adversarial Neural Network.

Yunyun Wang, Jian-Min Gu, Chao Wang, Songcan Chen, Hui Xue

J. Comput. Sci. Technol., 2020

A primal perspective for indefinite kernel SVM problem.

Hui Xue, Haiming Xu, Xiaohong Chen, Yunyun Wang

Frontiers Comput. Sci., 2020

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

Hui Xue, Yu Song

Appl. Intell., 2020

Sketch discriminatively regularized online gradient descent classification.

Hui Xue, Zhen Ren

Appl. Intell., 2020

BaKer-Nets: Bayesian Random Kernel Mapping Networks.

Hui Xue, Zheng-Fan Wu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-hop Hierarchical Graph Neural Networks.

Hui Xue, Xin-Kai Sun, Wei-Xiang Sun

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

A Primal Framework for Indefinite Kernel Learning.

Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang

Neural Process. Lett., 2019

A maximum margin clustering algorithm based on indefinite kernels.

Hui Xue, Sen Li, Xiaohong Chen, Yunyun Wang

Frontiers Comput. Sci., 2019

The Most Related Knowledge First: A Progressive Domain Adaptation Method.

Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Deep Spectral Kernel Learning.

Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation.

Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Transfer learning with partial related "instance-feature" knowledge.

Yunyun Wang, Jie Zhai, Yun Li, Kejia Chen, Hui Xue

Neurocomputing, 2018

Subclass Maximum Margin Tree Error Correcting Output Codes.

Fa Zheng, Hui Xue

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

2017

Semi-supervised manifold regularization with adaptive graph construction.

Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue

Pattern Recognit. Lett., 2017

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

Yunyun Wang, Yan Meng, Zhenyong Fu, Hui Xue

Neural Process. Lett., 2017

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

Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

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

Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Human Age Estimation by Considering both the Ordinality and Similarity of Ages.

Qing Tian, Hui Xue, Lishan Qiao

Neural Process. Lett., 2016

Maximum Margin Tree Error Correcting Output Codes.

Fa Zheng, Hui Xue, Xiaohong Chen, Yunyun Wang

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Logistic Boosting Regression for Label Distribution Learning.

Chao Xing, Xin Geng, Hui Xue

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Semi-supervised classification learning by discrimination-aware manifold regularization.

Yunyun Wang, Songcan Chen, Hui Xue, Zhenyong Fu

Neurocomputing, 2015

Emotion Distribution Recognition from Facial Expressions.

Ying Zhou, Hui Xue, Xin Geng

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

Discriminality-driven regularization framework for indefinite kernel machine.

Hui Xue, Songcan Chen

Neurocomputing, 2014

l p -norm Multiple Kernel Learning with Diversity of Classes.

Dayin Zhang, Hui Xue

Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2014

2012

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

Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou

Pattern Recognit., 2012

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

Yunyun Wang, Songcan Chen, Hui Xue

Neurocomputing, 2012

Semi-Supervised Discriminatively Regularized Classifier with Pairwise Constraints.

Jijian Huang, Hui Xue, Yuqing Zhai

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data.

Hui Xue, Songcan Chen, Jijian Huang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

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

Hui Xue, Songcan Chen, Qiang Yang

IEEE Trans. Neural Networks, 2011

Glocalization pursuit support vector machine.

Hui Xue, Songcan Chen

Neural Comput. Appl., 2011

Support Vector Machine incorporated with feature discrimination.

Yunyun Wang, Songcan Chen, Hui Xue

Expert Syst. Appl., 2011

Large correlation analysis.

Xiaohong Chen, Songcan Chen, Hui Xue

Appl. Math. Comput., 2011

2010

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

Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan

Neural Process. Lett., 2010

Structure-Embedded AUC-SVM.

Yunyun Wang, Songcan Chen, Hui Xue

Int. J. Pattern Recognit. Artif. Intell., 2010

2009

Discriminatively regularized least-squares classification.

Hui Xue, Songcan Chen, Qiang Yang

Pattern Recognit., 2009

Local ridge regression for face recognition.

Hui Xue, Yulian Zhu, Songcan Chen

Neurocomputing, 2009

2008

Classifier learning with a new locality regularization method.

Hui Xue, Songcan Chen, Xiaoqin Zeng

Pattern Recognit., 2008

Structural Support Vector Machine.

Hui Xue, Songcan Chen, Qiang Yang

Proceedings of the Advances in Neural Networks, 2008