Hui Xue - RankMe

92 papers A* 26B 3C 2Journal 57Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces. AAAI Leping Si, Meimei Yang, Hui Xue, Shipeng Zhu, Pengfei Fang
2026	A*	`conf`	HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning. AAAI Wenqian Li, Pengfei Fang, Hui Xue
2026	J	`jnl`	InsNet: Deep indefinite spectral kernel network. Pattern Recognit. Yanfang Xue, Hui Xue, Shipeng Zhu
2026	A*	`conf`	Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection. AAAI Kaixiang Chen, Pengfei Fang, Hui Xue
2026	J	`jnl`	SRasP: Self-Reorientation Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. CoRR Wenqian Li, Pengfei Fang, Hui Xue
2026	J	`jnl`	Text-Phase Synergy Network with Dual Priors for Unsupervised Cross-Domain Image Retrieval. CoRR Jing Yang, Hui Xue, Shipeng Zhu, Pengfei Fang
2025	J	`jnl`	Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces. CoRR Leping Si, Meimei Yang, Hui Xue, Shipeng Zhu, Pengfei Fang
2025	A*	`conf`	DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval. SIGIR Kaixiang Chen, Pengfei Fang, Hui Xue
2025	J	`jnl`	Learning Noisy Few-Shot Classification Without Relying on Pseudo-Noise Data. IEEE Signal Process. Lett. Yixin Wu, Hui Xue, Yuexuan An, Pengfei Fang
2025	J	`jnl`	Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Yuexuan An, Hui Xue, Xingyu Zhao, Ning Xu, Pengfei Fang, Xin Geng
2025	J	`jnl`	OAFN: An efficient open-world audio few-shot learning network for event classification. Knowl. Based Syst. Fei Chen, Hui Xue, Pengfei Fang
2025	J	`jnl`	On Modulating Motion-Aware Visual-Language Representation for Few-Shot Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Pengfei Fang, Qiang Xu, Zixuan Lin, Hui Xue
2025	J	`jnl`	On inferring prototypes for multi-label few-shot learning via partial aggregation. Pattern Recognit. Pengfei Fang, Zhihong Chen, Hui Xue
2025	A*	`conf`	PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. AAAI Yongchun Qin, Pengfei Fang, Hui Xue
2025	A*	`conf`	SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. AAAI Wenqian Li, Pengfei Fang, Hui Xue
2025	J	`jnl`	Toward Few-Shot Learning in the Open World: A Review and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Hui Xue, Yuexuan An, Yongchun Qin, Wenqian Li, Yixin Wu, Yongjuan Che, Pengfei Fang, Min-Ling Zhang
2024	A*	`conf`	Copula-Nested Spectral Kernel Network. ICML Jinyue Tian, Hui Xue, Yanfang Xue, Pengfei Fang
2024	J	`jnl`	DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. ACM Trans. Multim. Comput. Commun. Appl. Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng
2024	J	`jnl`	Dynamic functional connections analysis with spectral learning for brain disorder detection. Artif. Intell. Medicine Yanfang Xue, Hui Xue, Pengfei Fang, Shipeng Zhu, Lishan Qiao, Yuexuan An
2024	J	`jnl`	Improving Scene Text Retrieval via Stylized Middle Modality. ACM Trans. Multim. Comput. Commun. Appl. Shipeng Zhu, Jun Fang, Pengfei Fang, Hui Xue
2024	J	`jnl`	On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning. CoRR Pengfei Fang, Yongchun Qin, Hui Xue
2024	A*	`conf`	PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution. ACM Multimedia Zuoyan Zhao, Hui Xue, Pengfei Fang, Shipeng Zhu
2024	J	`jnl`	PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. CoRR Yongchun Qin, Pengfei Fang, Hui Xue
2024	J	`jnl`	Reinforced Self-Supervised Training for Few-Shot Learning. IEEE Signal Process. Lett. Zhichao Yan, Yuexuan An, Hui Xue
2024	A*	`conf`	Reproducing the Past: A Dataset for Benchmarking Inscription Restoration. ACM Multimedia Shipeng Zhu, Hui Xue, Na Nie, Chenjie Zhu, Haiyue Liu, Pengfei Fang
2024	J	`jnl`	SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. CoRR Wenqian Li, Pengfei Fang, Hui Xue
2024	C	`conf`	TSDNet: An Efficient Light Footprint Keyword Spotting Deep Network Base on Tempera Segment Normalization. CSCWD Fei Chen, Hui Xue, Pengfei Fang
2024	A*	`conf`	Text Image Inpainting via Global Structure-Guided Diffusion Models. AAAI Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue
2024	J	`jnl`	Text Image Inpainting via Global Structure-Guided Diffusion Models. CoRR Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue
2024	J	`jnl`	Towards Few-Shot Learning in the Open World: A Review and Beyond. CoRR Hui Xue, Yuexuan An, Yongchun Qin, Wenqian Li, Yixin Wu, Yongjuan Che, Pengfei Fang, Minling Zhang
2024	J	`jnl`	Towards kernelizing the classifier for hyperbolic data. Frontiers Comput. Sci. Meimei Yang, Qiao Liu, XinKai Sun, Na Shi, Hui Xue
2023	A*	`conf`	Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. IJCAI Yongjuan Che, Yuexuan An, Hui Xue
2023	A*	`conf`	CosNet: A Generalized Spectral Kernel Network. NeurIPS Yanfang Xue, Pengfei Fang, Jinyue Tian, Shipeng Zhu, Hui Xue
2023	J	`jnl`	DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. CoRR Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng
2023	A*	`conf`	Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. IJCAI Meimei Yang, Pengfei Fang, Hui Xue
2023	J	`jnl`	FATE: a three-stage method for arithmetical exercise correction. Neural Comput. Appl. Qipeng Zhu, Zhuoyan Luo, Shipeng Zhu, Qi Jing, Zihang Xu, Hui Xue
2023	J	`jnl`	From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang
2023	J	`jnl`	Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network. CoRR Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue
2023	A*	`conf`	Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. AAAI Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue
2023	A*	`conf`	Learning to Learn from Corrupted Data for Few-Shot Learning. IJCAI Yuexuan An, Xingyu Zhao, Hui Xue
2023	J	`jnl`	On learning distribution alignment for video-based visible-infrared person re-identification. Comput. Vis. Image Underst. Pengfei Fang, Yaojun Hu, Shipeng Zhu, Hui Xue
2023	J	`jnl`	PEAN: A Diffusion-based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution. CoRR Zuoyan Zhao, Shipeng Zhu, Pengfei Fang, Hui Xue
2022	A*	`conf`	Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. IJCAI Zheng-Fan Wu, Yi-Nan Feng, Hui Xue
2022	J	`jnl`	Indefinite twin support vector machine with DC functions programming. Pattern Recognit. Yuexuan An, Hui Xue
2022	J	`jnl`	Re-Weighting Large Margin Label Distribution Learning for Classification. IEEE Trans. Pattern Anal. Mach. Intell. Jing Wang, Xin Geng, Hui Xue
2022	J	`jnl`	Self-corrected unsupervised domain adaptation. Frontiers Comput. Sci. Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen
2021	A*	`conf`	Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation. IJCAI Qiao Liu, Hui Xue
2021	A*	`conf`	Conditional Self-Supervised Learning for Few-Shot Classification. IJCAI Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang
2021	A*	`conf`	Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space. IJCAI Zheng-Fan Wu, Hui Xue, Weimin Bai
2021	J	`jnl`	Learning graph-level representation from local-structural distribution with Graph Neural Networks. Knowl. Based Syst. Wei-Xiang Sun, Hui Xue
2021	J	`jnl`	Pointwise manifold regularization for semi-supervised learning. Frontiers Comput. Sci. Yunyun Wang, Jiao Han, Yating Shen, Hui Xue
2021	J	`jnl`	Source-Free Unsupervised Domain Adaptation with Sample Transport Learning. J. Comput. Sci. Technol. Qing Tian, Chuang Ma, Feng-Yuan Zhang, Shun Peng, Hui Xue
2020	J	`jnl`	A primal perspective for indefinite kernel SVM problem. Frontiers Comput. Sci. Hui Xue, Haiming Xu, Xiaohong Chen, Yunyun Wang
2020	A*	`conf`	BaKer-Nets: Bayesian Random Kernel Mapping Networks. IJCAI Hui Xue, Zheng-Fan Wu
2020	J	`jnl`	Discrimination-Aware Domain Adversarial Neural Network. J. Comput. Sci. Technol. Yunyun Wang, Jian-Min Gu, Chao Wang, Songcan Chen, Hui Xue
2020	—	`conf`	Multi-hop Hierarchical Graph Neural Networks. BigComp Hui Xue, Xin-Kai Sun, Wei-Xiang Sun
2020	J	`jnl`	Multiple indefinite kernel learning for feature selection. Knowl. Based Syst. Hui Xue, Yu Song, Haiming Xu
2020	J	`jnl`	Non-convex approximation based l Appl. Intell. Hui Xue, Yu Song
2020	J	`jnl`	Sketch discriminatively regularized online gradient descent classification. Appl. Intell. Hui Xue, Zhen Ren
2019	J	`jnl`	A Primal Framework for Indefinite Kernel Learning. Neural Process. Lett. Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang
2019	J	`jnl`	A maximum margin clustering algorithm based on indefinite kernels. Frontiers Comput. Sci. Hui Xue, Sen Li, Xiaohong Chen, Yunyun Wang
2019	A*	`conf`	Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. ICDM Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue
2019	A*	`conf`	Deep Spectral Kernel Learning. IJCAI Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun
2019	—	`conf`	The Most Related Knowledge First: A Progressive Domain Adaptation Method. PAKDD (Workshops) Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue
2018	—	`conf`	Subclass Maximum Margin Tree Error Correcting Output Codes. PRICAI (1) Fa Zheng, Hui Xue
2018	J	`jnl`	Transfer learning with partial related "instance-feature" knowledge. Neurocomputing Yunyun Wang, Jie Zhai, Yun Li, Kejia Chen, Hui Xue
2017	A*	`conf`	Multiple Indefinite Kernel Learning for Feature Selection. IJCAI Hui Xue, Yu Song, Haiming Xu
2017	J	`jnl`	Semi-supervised manifold regularization with adaptive graph construction. Pattern Recognit. Lett. Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue
2017	A*	`conf`	Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. AAAI Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang
2017	J	`jnl`	Towards Safe Semi-supervised Classification: Adjusted Cluster Assumption via Clustering. Neural Process. Lett. Yunyun Wang, Yan Meng, Zhenyong Fu, Hui Xue
2016	J	`jnl`	Human Age Estimation by Considering both the Ordinality and Similarity of Ages. Neural Process. Lett. Qing Tian, Hui Xue, Lishan Qiao
2016	J	`jnl`	Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue
2016	A*	`conf`	Logistic Boosting Regression for Label Distribution Learning. CVPR Chao Xing, Xin Geng, Hui Xue
2016	B	`conf`	Maximum Margin Tree Error Correcting Output Codes. PRICAI Fa Zheng, Hui Xue, Xiaohong Chen, Yunyun Wang
2015	A*	`conf`	Emotion Distribution Recognition from Facial Expressions. ACM Multimedia Ying Zhou, Hui Xue, Xin Geng
2015	J	`jnl`	Semi-supervised classification learning by discrimination-aware manifold regularization. Neurocomputing Yunyun Wang, Songcan Chen, Hui Xue, Zhenyong Fu
2014	J	`jnl`	Discriminality-driven regularization framework for indefinite kernel machine. Neurocomputing Hui Xue, Songcan Chen
2014	C	`conf`	l p -norm Multiple Kernel Learning with Diversity of Classes. PKAW Dayin Zhang, Hui Xue
2012	J	`jnl`	A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data. Pattern Recognit. Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou
2012	J	`jnl`	Can under-exploited structure of original-classes help ECOC-based multi-class classification? Neurocomputing Yunyun Wang, Songcan Chen, Hui Xue
2012	B	`conf`	Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. ICPR Hui Xue, Songcan Chen, Jijian Huang
2012	B	`conf`	Semi-Supervised Discriminatively Regularized Classifier with Pairwise Constraints. PRICAI Jijian Huang, Hui Xue, Yuqing Zhai
2011	J	`jnl`	Glocalization pursuit support vector machine. Neural Comput. Appl. Hui Xue, Songcan Chen
2011	J	`jnl`	Large correlation analysis. Appl. Math. Comput. Xiaohong Chen, Songcan Chen, Hui Xue
2011	J	`jnl`	Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Trans. Neural Networks Hui Xue, Songcan Chen, Qiang Yang
2011	J	`jnl`	Support Vector Machine incorporated with feature discrimination. Expert Syst. Appl. Yunyun Wang, Songcan Chen, Hui Xue
2010	J	`jnl`	A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. Neural Process. Lett. Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
2010	J	`jnl`	Structure-Embedded AUC-SVM. Int. J. Pattern Recognit. Artif. Intell. Yunyun Wang, Songcan Chen, Hui Xue
2009	J	`jnl`	Discriminatively regularized least-squares classification. Pattern Recognit. Hui Xue, Songcan Chen, Qiang Yang
2009	J	`jnl`	Local ridge regression for face recognition. Neurocomputing Hui Xue, Yulian Zhu, Songcan Chen
2008	J	`jnl`	Classifier learning with a new locality regularization method. Pattern Recognit. Hui Xue, Songcan Chen, Xiaoqin Zeng
2008	—	`conf`	Structural Support Vector Machine. ISNN (1) Hui Xue, Songcan Chen, Qiang Yang