Structural Support Vector Machine. - Hui Xue 002; Songcan Chen; Qiang Yang 001 (ISNN (1), 2008)

Classifier learning with a new locality regularization method. - Hui Xue 002; Songcan Chen; Xiaoqin Zeng (Pattern Recognit., 2008)

Local ridge regression for face recognition. - Hui Xue 002; Yulian Zhu; Songcan Chen (Neurocomputing, 2009)

Discriminatively regularized least-squares classification. - Hui Xue 002; Songcan Chen; Qiang Yang 001 (Pattern Recognit., 2009)

Structure-Embedded AUC-SVM. - Yunyun Wang; Songcan Chen; Hui Xue 002 (Int. J. Pattern Recognit. Artif. Intell., 2010)

A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. - Zhe Wang 002; Songcan Chen; Hui Xue 002; Zhisong Pan (Neural Process. Lett., 2010)

Large correlation analysis. - Xiaohong Chen 001; Songcan Chen; Hui Xue 002 (Appl. Math. Comput., 2011)

Support Vector Machine incorporated with feature discrimination. - Yunyun Wang; Songcan Chen; Hui Xue 002 (Expert Syst. Appl., 2011)

Glocalization pursuit support vector machine. - Hui Xue 002; Songcan Chen (Neural Comput. Appl., 2011)

Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. - Hui Xue 002; Songcan Chen; Qiang Yang 001 (IEEE Trans. Neural Networks, 2011)

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. - Hui Xue 002; Songcan Chen; Jijian Huang (ICPR, 2012)

Semi-Supervised Discriminatively Regularized Classifier with Pairwise Constraints. - Jijian Huang; Hui Xue 002; Yuqing Zhai (PRICAI, 2012)

Can under-exploited structure of original-classes help ECOC-based multi-class classification? - Yunyun Wang; Songcan Chen; Hui Xue 002 (Neurocomputing, 2012)

A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data. - Xiaohong Chen 001; Songcan Chen; Hui Xue 002; Xudong Zhou (Pattern Recognit., 2012)

l p -norm Multiple Kernel Learning with Diversity of Classes. - Dayin Zhang; Hui Xue 002 (PKAW, 2014)

Discriminality-driven regularization framework for indefinite kernel machine. - Hui Xue 002; Songcan Chen (Neurocomputing, 2014)

Emotion Distribution Recognition from Facial Expressions. - Ying Zhou; Hui Xue 002; Xin Geng 001 (ACM Multimedia, 2015)

Semi-supervised classification learning by discrimination-aware manifold regularization. - Yunyun Wang; Songcan Chen; Hui Xue 002; Zhenyong Fu (Neurocomputing, 2015)

Logistic Boosting Regression for Label Distribution Learning. - Chao Xing; Xin Geng 001; Hui Xue 002 (CVPR, 2016)

Maximum Margin Tree Error Correcting Output Codes. - Fa Zheng; Hui Xue 002; Xiaohong Chen 001; Yunyun Wang (PRICAI, 2016)

Human Age Estimation by Considering both the Ordinality and Similarity of Ages. - Qing Tian 002; Hui Xue 002; Lishan Qiao (Neural Process. Lett., 2016)

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. - Mingxia Liu 001; Daoqiang Zhang; Songcan Chen; Hui Xue 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. - Haiming Xu; Hui Xue 002; Xiaohong Chen 001; Yunyun Wang (AAAI, 2017)

Towards Safe Semi-supervised Classification: Adjusted Cluster Assumption via Clustering. - Yunyun Wang; Yan Meng; Zhenyong Fu; Hui Xue 002 (Neural Process. Lett., 2017)

Semi-supervised manifold regularization with adaptive graph construction. - Yunyun Wang; Yan Meng; Yun Li 009; Songcan Chen; Zhenyong Fu; Hui Xue 002 (Pattern Recognit. Lett., 2017)

Subclass Maximum Margin Tree Error Correcting Output Codes. - Fa Zheng; Hui Xue 002 (PRICAI (1), 2018)

Transfer learning with partial related "instance-feature" knowledge. - Yunyun Wang; Jie Zhai; Yun Li 009; Kejia Chen 001; Hui Xue 002 (Neurocomputing, 2018)

Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. - Yunyun Wang; Xuzhang Chen; Songcan Chen; Hui Xue 002 (ICDM, 2019)

Deep Spectral Kernel Learning. - Hui Xue 002; Zheng-Fan Wu; Wei-Xiang Sun (IJCAI, 2019)

The Most Related Knowledge First: A Progressive Domain Adaptation Method. - Yunyun Wang; Dan Zhao; Yun Li 009; Kejia Chen 001; Hui Xue 002 (PAKDD (Workshops), 2019)

A maximum margin clustering algorithm based on indefinite kernels. - Hui Xue 002; Sen Li; Xiaohong Chen 001; Yunyun Wang (Frontiers Comput. Sci., 2019)

A Primal Framework for Indefinite Kernel Learning. - Hui Xue 002; Lin Wang; Songcan Chen; Yunyun Wang (Neural Process. Lett., 2019)

Multi-hop Hierarchical Graph Neural Networks. - Hui Xue 002; Xin-Kai Sun; Wei-Xiang Sun (BigComp, 2020)

BaKer-Nets: Bayesian Random Kernel Mapping Networks. - Hui Xue 002; Zheng-Fan Wu (IJCAI, 2020)

Sketch discriminatively regularized online gradient descent classification. - Hui Xue 002; Zhen Ren (Appl. Intell., 2020)

Non-convex approximation based l0-norm multiple indefinite kernel feature selection. - Hui Xue 002; Yu Song (Appl. Intell., 2020)

A primal perspective for indefinite kernel SVM problem. - Hui Xue 002; Haiming Xu; Xiaohong Chen 001; Yunyun Wang (Frontiers Comput. Sci., 2020)

Discrimination-Aware Domain Adversarial Neural Network. - Yunyun Wang; Jian-Min Gu; Chao Wang; Songcan Chen; Hui Xue 002 (J. Comput. Sci. Technol., 2020)

Multiple indefinite kernel learning for feature selection. - Hui Xue 002; Yu Song; Haiming Xu (Knowl. Based Syst., 2020)

Conditional Self-Supervised Learning for Few-Shot Classification. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Lu Zhang (IJCAI, 2021)

Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation. - Qiao Liu; Hui Xue 002 (IJCAI, 2021)

Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space. - Zheng-Fan Wu; Hui Xue 002; Weimin Bai (IJCAI, 2021)

Pointwise manifold regularization for semi-supervised learning. - Yunyun Wang; Jiao Han; Yating Shen; Hui Xue 002 (Frontiers Comput. Sci., 2021)

Source-Free Unsupervised Domain Adaptation with Sample Transport Learning. - Qing Tian 002; Chuang Ma; Feng-Yuan Zhang; Shun Peng; Hui Xue 002 (J. Comput. Sci. Technol., 2021)

Learning graph-level representation from local-structural distribution with Graph Neural Networks. - Wei-Xiang Sun; Hui Xue 002 (Knowl. Based Syst., 2021)

Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. - Zheng-Fan Wu; Yi-Nan Feng; Hui Xue 002 (IJCAI, 2022)

Self-corrected unsupervised domain adaptation. - Yunyun Wang; Chao Wang; Hui Xue 002; Songcan Chen (Frontiers Comput. Sci., 2022)

Re-Weighting Large Margin Label Distribution Learning for Classification. - Jing Wang 113; Xin Geng 001; Hui Xue 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Indefinite twin support vector machine with DC functions programming. - Yuexuan An; Hui Xue 002 (Pattern Recognit., 2022)

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. - Shipeng Zhu; Zuoyan Zhao; Pengfei Fang; Hui Xue 002 (AAAI, 2023)

Learning to Learn from Corrupted Data for Few-Shot Learning. - Yuexuan An; Xingyu Zhao 002; Hui Xue 002 (IJCAI, 2023)

Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. - Yongjuan Che; Yuexuan An; Hui Xue 002 (IJCAI, 2023)

Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. - Meimei Yang; Pengfei Fang; Hui Xue 002 (IJCAI, 2023)

CosNet: A Generalized Spectral Kernel Network. - Yanfang Xue; Pengfei Fang; Jinyue Tian; Shipeng Zhu; Hui Xue 002 (NeurIPS, 2023)

From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Jing Wang 113 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

FATE: a three-stage method for arithmetical exercise correction. - Qipeng Zhu; Zhuoyan Luo; Shipeng Zhu; Qi Jing; Zihang Xu; Hui Xue 002 (Neural Comput. Appl., 2023)

On learning distribution alignment for video-based visible-infrared person re-identification. - Pengfei Fang; Yaojun Hu; Shipeng Zhu; Hui Xue 002 (Comput. Vis. Image Underst., 2023)

Text Image Inpainting via Global Structure-Guided Diffusion Models. - Shipeng Zhu; Pengfei Fang; Chenjie Zhu; Zuoyan Zhao; Qiang Xu; Hui Xue 002 (AAAI, 2024)

TSDNet: An Efficient Light Footprint Keyword Spotting Deep Network Base on Tempera Segment Normalization. - Fei Chen 015; Hui Xue 002; Pengfei Fang (CSCWD, 2024)

Copula-Nested Spectral Kernel Network. - Jinyue Tian; Hui Xue 002; Yanfang Xue; Pengfei Fang (ICML, 2024)

PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution. - Zuoyan Zhao; Hui Xue 002; Pengfei Fang; Shipeng Zhu (ACM Multimedia, 2024)

Reproducing the Past: A Dataset for Benchmarking Inscription Restoration. - Shipeng Zhu; Hui Xue 002; Na Nie; Chenjie Zhu; Haiyue Liu; Pengfei Fang (ACM Multimedia, 2024)

Dynamic functional connections analysis with spectral learning for brain disorder detection. - Yanfang Xue; Hui Xue 002; Pengfei Fang; Shipeng Zhu; Lishan Qiao; Yuexuan An (Artif. Intell. Medicine, 2024)

Towards Few-Shot Learning in the Open World: A Review and Beyond. - Hui Xue 002; Yuexuan An; Yongchun Qin; Wenqian Li; Yixin Wu; Yongjuan Che; Pengfei Fang; Minling Zhang (CoRR, 2024)

On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning. - Pengfei Fang; Yongchun Qin; Hui Xue 002 (CoRR, 2024)

Reinforced Self-Supervised Training for Few-Shot Learning. - Zhichao Yan; Yuexuan An; Hui Xue 002 (IEEE Signal Process. Lett., 2024)

DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. - Lei Qi 001; Peng Dong; Tan Xiong; Hui Xue 002; Xin Geng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Improving Scene Text Retrieval via Stylized Middle Modality. - Shipeng Zhu; Jun Fang; Pengfei Fang; Hui Xue 002 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. - Wenqian Li; Pengfei Fang; Hui Xue 002 (AAAI, 2025)

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. - Yongchun Qin; Pengfei Fang; Hui Xue 002 (AAAI, 2025)

DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval. - Kaixiang Chen; Pengfei Fang; Hui Xue 002 (SIGIR, 2025)

OAFN: An efficient open-world audio few-shot learning network for event classification. - Fei Chen 015; Hui Xue 002; Pengfei Fang (Knowl. Based Syst., 2025)

On inferring prototypes for multi-label few-shot learning via partial aggregation. - Pengfei Fang; Zhihong Chen; Hui Xue 002 (Pattern Recognit., 2025)

Learning Noisy Few-Shot Classification Without Relying on Pseudo-Noise Data. - Yixin Wu; Hui Xue 002; Yuexuan An; Pengfei Fang (IEEE Signal Process. Lett., 2025)

Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Ning Xu 009; Pengfei Fang; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)