Hui Xue

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 43

Top Topics

Manifold Regularization

Kernel Learning

Top Venues

Frontiers Comput. Sci.

Neural Process. Lett.

Publications

Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue
Text Image Inpainting via Global Structure-Guided Diffusion Models. CoRR (2024)
Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue
Text Image Inpainting via Global Structure-Guided Diffusion Models. AAAI (2024)
Fei Chen, Hui Xue, Pengfei Fang
TSDNet: An Efficient Light Footprint Keyword Spotting Deep Network Base on Tempera Segment Normalization. CSCWD (2024)
Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. ACM Trans. Multim. Comput. Commun. Appl. 20 (5) (2024)
Zhichao Yan, Yuexuan An, Hui Xue
Reinforced Self-Supervised Training for Few-Shot Learning. IEEE Signal Process. Lett. 31 (2024)
Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Qipeng Zhu, Zhuoyan Luo, Shipeng Zhu, Qi Jing, Zihang Xu, Hui Xue
FATE: a three-stage method for arithmetical exercise correction. Neural Comput. Appl. 35 (32) (2023)
Yongjuan Che, Yuexuan An, Hui Xue
Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. IJCAI (2023)
Zuoyan Zhao, Shipeng Zhu, Pengfei Fang, Hui Xue
PEAN: A Diffusion-based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution. CoRR (2023)
Pengfei Fang, Yaojun Hu, Shipeng Zhu, Hui Xue
On learning distribution alignment for video-based visible-infrared person re-identification. Comput. Vis. Image Underst. 237 (2023)
Yuexuan An, Xingyu Zhao, Hui Xue
Learning to Learn from Corrupted Data for Few-Shot Learning. IJCAI (2023)
Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen
Self-corrected unsupervised domain adaptation. Frontiers Comput. Sci. 16 (5) (2022)
Jing Wang, Xin Geng, Hui Xue
Re-Weighting Large Margin Label Distribution Learning for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Zheng-Fan Wu, Yi-Nan Feng, Hui Xue
Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. IJCAI (2022)
Yuexuan An, Hui Xue
Indefinite twin support vector machine with DC functions programming. Pattern Recognit. 121 (2022)
Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang
Conditional Self-Supervised Learning for Few-Shot Classification. IJCAI (2021)
Qiao Liu, Hui Xue
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation. IJCAI (2021)
Yunyun Wang, Jiao Han, Yating Shen, Hui Xue
Pointwise manifold regularization for semi-supervised learning. Frontiers Comput. Sci. 15 (1) (2021)
Qing Tian, Chuang Ma, Feng-Yuan Zhang, Shun Peng, Hui Xue
Source-Free Unsupervised Domain Adaptation with Sample Transport Learning. J. Comput. Sci. Technol. 36 (3) (2021)
Wei-Xiang Sun, Hui Xue
Learning graph-level representation from local-structural distribution with Graph Neural Networks. Knowl. Based Syst. 230 (2021)
Zheng-Fan Wu, Hui Xue, Weimin Bai
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space. IJCAI (2021)
Hui Xue, Yu Song
-norm multiple indefinite kernel feature selection. Appl. Intell. 50 (1) (2020)
Hui Xue, Xin-Kai Sun, Wei-Xiang Sun
Multi-hop Hierarchical Graph Neural Networks. BigComp (2020)
Hui Xue, Yu Song, Haiming Xu
Multiple indefinite kernel learning for feature selection. Knowl. Based Syst. 191 (2020)
Hui Xue, Haiming Xu, Xiaohong Chen, Yunyun Wang
A primal perspective for indefinite kernel SVM problem. Frontiers Comput. Sci. 14 (2) (2020)
Hui Xue, Zhen Ren
Sketch discriminatively regularized online gradient descent classification. Appl. Intell. 50 (5) (2020)
Hui Xue, Zheng-Fan Wu
BaKer-Nets: Bayesian Random Kernel Mapping Networks. IJCAI (2020)
Yunyun Wang, Jian-Min Gu, Chao Wang, Songcan Chen, Hui Xue
Discrimination-Aware Domain Adversarial Neural Network. J. Comput. Sci. Technol. 35 (2) (2020)
Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun
Deep Spectral Kernel Learning. IJCAI (2019)
Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue
Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. ICDM (2019)
Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang
A Primal Framework for Indefinite Kernel Learning. Neural Process. Lett. 50 (1) (2019)
Hui Xue, Sen Li, Xiaohong Chen, Yunyun Wang
A maximum margin clustering algorithm based on indefinite kernels. Frontiers Comput. Sci. 13 (4) (2019)
Yunyun Wang, Dan Zhao, Yun Li, Ke-Jia Chen, Hui Xue
The Most Related Knowledge First: A Progressive Domain Adaptation Method. PAKDD (Workshops) (2019)
Yunyun Wang, Jie Zhai, Yun Li, Ke-Jia Chen, Hui Xue
Transfer learning with partial related "instance-feature" knowledge. Neurocomputing 310 (2018)
Fa Zheng, Hui Xue
Subclass Maximum Margin Tree Error Correcting Output Codes. PRICAI (1) (2018)
Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue
Semi-supervised manifold regularization with adaptive graph construction. Pattern Recognit. Lett. 98 (2017)
Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang
Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. AAAI (2017)
Hui Xue, Yu Song, Haiming Xu
Multiple Indefinite Kernel Learning for Feature Selection. IJCAI (2017)
Yunyun Wang, Yan Meng, Zhenyong Fu, Hui Xue
Towards Safe Semi-supervised Classification: Adjusted Cluster Assumption via Clustering. Neural Process. Lett. 46 (3) (2017)
Chao Xing, Xin Geng, Hui Xue
Logistic Boosting Regression for Label Distribution Learning. CVPR (2016)
Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue
Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38 (11) (2016)
Fa Zheng, Hui Xue, Xiaohong Chen, Yunyun Wang
Maximum Margin Tree Error Correcting Output Codes. PRICAI (2016)
Qing Tian, Hui Xue, Lishan Qiao
Human Age Estimation by Considering both the Ordinality and Similarity of Ages. Neural Process. Lett. 43 (2) (2016)
Ying Zhou, Hui Xue, Xin Geng
Emotion Distribution Recognition from Facial Expressions. ACM Multimedia (2015)
Yunyun Wang, Songcan Chen, Hui Xue, Zhenyong Fu
Semi-supervised classification learning by discrimination-aware manifold regularization. Neurocomputing 147 (2015)
Hui Xue, Songcan Chen
Discriminality-driven regularization framework for indefinite kernel machine. Neurocomputing 133 (2014)
Dayin Zhang, Hui Xue
l p -norm Multiple Kernel Learning with Diversity of Classes. PKAW (2014)
Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou
A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data. Pattern Recognit. 45 (5) (2012)
Yunyun Wang, Songcan Chen, Hui Xue
Can under-exploited structure of original-classes help ECOC-based multi-class classification? Neurocomputing 89 (2012)
Hui Xue, Songcan Chen, Jijian Huang
Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. ICPR (2012)
Jijian Huang, Hui Xue, Yuqing Zhai
Semi-Supervised Discriminatively Regularized Classifier with Pairwise Constraints. PRICAI (2012)
Hui Xue, Songcan Chen
Glocalization pursuit support vector machine. Neural Comput. Appl. 20 (7) (2011)
Yunyun Wang, Songcan Chen, Hui Xue
Support Vector Machine incorporated with feature discrimination. Expert Syst. Appl. 38 (10) (2011)
Hui Xue, Songcan Chen, Qiang Yang
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Trans. Neural Networks 22 (4) (2011)
Xiaohong Chen, Songcan Chen, Hui Xue
Large correlation analysis. Appl. Math. Comput. 217 (22) (2011)
Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. Neural Process. Lett. 31 (3) (2010)
Yunyun Wang, Songcan Chen, Hui Xue
Structure-Embedded AUC-SVM. Int. J. Pattern Recognit. Artif. Intell. 24 (5) (2010)
Hui Xue, Yulian Zhu, Songcan Chen
Local ridge regression for face recognition. Neurocomputing 72 (4-6) (2009)
Hui Xue, Songcan Chen, Qiang Yang
Discriminatively regularized least-squares classification. Pattern Recognit. 42 (1) (2009)
Hui Xue, Songcan Chen, Qiang Yang
Structural Support Vector Machine. ISNN (1) (2008)
Hui Xue, Songcan Chen, Xiaoqin Zeng
Classifier learning with a new locality regularization method. Pattern Recognit. 41 (5) (2008)