Xuegang Hu - RankMe

217 papers A* 7A 1B 18C 3Misc 10Journal 119Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Label-Aware Augmentation for Long-Tailed Cross-Network Node Classification. Expert Syst. J. Knowl. Eng. Yuhong Zhang, Congmei Shi, Xuegang Hu
2026	J	`jnl`	Online multi-label classification under noisy and changing label distribution. Pattern Recognit. Yizhang Zou, Xuegang Hu, Peipei Li, You Wu, Jun Hu
2026	J	`jnl`	Unified online weak multi-Label learning in drifting and imbalanced data streams. Knowl. Based Syst. Yizhang Zou, Xuegang Hu, Pei-Pei Li, You Wu
2025	J	`jnl`	A Cognitive Diagnosis Model With Nonlinear Dependence Between Students and Exercises. IEEE Trans. Comput. Soc. Syst. Yuhong Zhang, Zhihao Lin, Chenyang Bu, Kui Yu, Xuegang Hu, Xindong Wu
2025	J	`jnl`	A Plug-in for cognitive diagnosis method based on correlation representation under long-tailed distribution. Expert Syst. Appl. Yuhong Zhang, Tiancheng He, Shengyu Xu, Mian Wang, Chenyang Bu, Xuegang Hu
2025	J	`jnl`	Entity alignment in noisy knowledge graph. Appl. Intell. Yuhong Zhang, Xiaolong Zhu, Xuegang Hu
2025	J	`jnl`	Hypergraph representation learning for identifying circRNA-disease associations. Pattern Recognit. Yang Li, Xuegang Hu, Peipei Li, Lei Wang, Zhuhong You
2025	J	`jnl`	Multi-granularity decision information integration network for hierarchical classification via local and global constraints. Appl. Intell. Haoyang Liu, Peipei Li, Xuegang Hu, Shengxing Bai, Yaojin Lin
2025	J	`jnl`	Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization. J. Imaging Inform. Medicine Yihao Ouyang, Pei-Pei Li, Haixiang Zhang, Xuegang Hu
2025	J	`jnl`	Semi-Supervised Short Text Stream Classification Based on Drift-Aware Incremental Deep Learning. IEEE Trans. Knowl. Data Eng. Pei-Pei Li, Shiying Yu, Jiajun Li, Xuegang Hu
2025	J	`jnl`	Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels. IEEE Trans. Big Data Yizhang Zou, Xuegang Hu, Peipei Li, Jun Hu
2024	J	`jnl`	A Fast Attention-Guided Hierarchical Decoding Network for Real-Time Semantic Segmentation. Sensors Xuegang Hu, Jing Feng
2024	J	`jnl`	A cross-network node classification method in open-set scenario. Pattern Recognit. Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu
2024	A*	`conf`	Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. IJCAI Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu
2024	J	`jnl`	EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation. J. Real Time Image Process. Xuegang Hu, Yan Ke
2024	J	`jnl`	FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu
2024	J	`jnl`	Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognit. Yizhang Zou, Xuegang Hu, Pei-Pei Li
2024	J	`jnl`	Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification. Appl. Intell. Zhanwang Chen, Peipei Li, Xuegang Hu
2024	J	`jnl`	LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes. Pattern Anal. Appl. Xuegang Hu, Jing Feng, Juelin Gong
2024	J	`jnl`	Learning shared and non-redundant label-specific features for partial multi-label classification. Inf. Sci. Yizhang Zou, Xuegang Hu, Peipei Li, Yuhang Ge
2024	J	`jnl`	Lightweight multi-scale generative adversarial network with attention for image denoising. Multim. Syst. Xuegang Hu, Wei Zhao
2024	J	`jnl`	Multi-scale information fusion generative adversarial network for real-world noisy image denoising. Mach. Vis. Appl. Xuegang Hu, Wei Zhao
2024	J	`jnl`	Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation. Data Intell. Yuhong Zhang, Jianqing Wu, Qi Zhang, Xuegang Hu
2024	J	`jnl`	Multicomponent Similarity Graphs for Cross-Network Node Classification. IEEE Trans. Artif. Intell. Yuhong Zhang, Congmei Shi, Xinzheng Li, Zan Zhang, Xuegang Hu
2024	J	`jnl`	Online Multi-Label Classification under Noisy and Changing Label Distribution. CoRR Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu
2024	J	`jnl`	Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network. Artif. Intell. Medicine Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang, Zhifan Gao, Shu Zhao, Kemal Polat
2024	J	`jnl`	Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu
2024	J	`jnl`	Zero-shot learning with visual-semantic mutual reinforcement for image recognition. J. Electronic Imaging Yuhong Zhang, Taohong Chen, Kui Yu, Xuegang Hu
2023	J	`jnl`	A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu
2023	J	`jnl`	Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo
2023	B	`conf`	Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation. ICMR Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu
2023	J	`jnl`	Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. ACM Trans. Knowl. Discov. Data Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu
2023	B	`conf`	Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. IJCNN Qingxia Jiang, Peipei Li, Yuhong Zhang, Xuegang Hu
2023	J	`jnl`	High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu
2023	J	`jnl`	Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules. IEEE Internet Things J. Boyan Wang, Xuegang Hu, Jinglin Zhang, Chenchu Xu, Zhifan Gao
2023	J	`jnl`	LBARNet: Lightweight bilateral asymmetric residual network for real-time semantic segmentation. Comput. Graph. Xuegang Hu, Baoman Zhou
2023	J	`jnl`	Lightweight attention-guided redundancy-reuse network for real-time semantic segmentation. IET Image Process. Xuegang Hu, Shuhan Xu, Liyuan Jing
2023	J	`jnl`	Lightweight multi-scale attention-guided network for real-time semantic segmentation. Image Vis. Comput. Xuegang Hu, Yuanjing Liu
2023	A*	`conf`	Meta Multi-agent Exercise Recommendation: A Game Application Perspective. KDD Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu
2023	J	`jnl`	Meta-path based graph contrastive learning for micro-video recommendation. Expert Syst. Appl. Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu
2023	B	`conf`	Multi-source Multi-label Feature Selection. IJCNN Xiulan Yuan, Xuegang Hu, Pei-Pei Li
2023	—	`conf`	Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG Yizhang Zou, Xuegang Hu, Pei-Pei Li
2023	B	`conf`	Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IJCNN Jiajun Li, Pei-Pei Li, Xuegang Hu
2022	B	`conf`	A Baseline for Early Classification of Time Series in An Open World. COMPSAC Junwei Lv, Xuegang Hu
2022	B	`conf`	A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. ICTAI Yuhong Zhang, Haitao Shu, Chenyang Bu, Xuegang Hu
2022	C	`conf`	A lightweight network with multi-scale information interaction attention for real-time semantic segmentation. ICMV Shuhan Xu, Xuegang Hu
2022	—	`conf`	APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. PRICAI (1) Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu
2022	J	`jnl`	APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. CoRR Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu
2022	B	`conf`	An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IJCNN Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang
2022	J	`jnl`	Combining context-relevant features with multi-stage attention network for short text classification. Comput. Speech Lang. Yingying Liu, Pei-Pei Li, Xuegang Hu
2022	—	`conf`	DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. ICONIP (2) Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu
2022	J	`jnl`	DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing. CoRR Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu
2022	—	`conf`	Dual Confidence Learning Network for Open-World Time Series Classification. DASFAA (2) Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu
2022	—	`conf`	Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. ICKG Yuhang Ge, Xuegang Hu
2022	J	`jnl`	Fuzzy Bayesian Knowledge Tracing. IEEE Trans. Fuzzy Syst. Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu
2022	—	`conf`	Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application. ICSI (1) Shuai Sun, Xuegang Hu, Chenyang Bu, Fei Liu, Yuhong Zhang, Wenjian Luo
2022	J	`jnl`	Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu
2022	J	`jnl`	Joint pyramid attention network for real-time semantic segmentation of urban scenes. Appl. Intell. Xuegang Hu, Liyuan Jing, Uroosa Sehar
2022	J	`jnl`	LARFNet: Lightweight asymmetric refining fusion network for real-time semantic segmentation. Comput. Graph. Xuegang Hu, Juelin Gong
2022	J	`jnl`	Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu
2022	B	`conf`	Multi-Label Learning with Missing Labels via Common and Label-Specific Features. IJCNN Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu
2022	—	`conf`	Multi-label Learning with Data Self-augmentation. ICONIP (4) Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li
2022	—	`conf`	Multi-modal Component Representation for Multi-source Domain Adaptation Method. PRICAI (1) Yuhong Zhang, Zhihao Lin, Lin Qian, Xuegang Hu
2022	—	`conf`	PU Matrix Completion Based Multi-label Classification with Missing Labels. ISDA (2) Zhidong Huang, Peipei Li, Xuegang Hu
2022	J	`jnl`	Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2022	J	`jnl`	Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang
2022	B	`conf`	Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. IJCNN Shiyuan Qiu, Peipei Li, Xuegang Hu
2022	B	`conf`	Structure Similarity Graph for Cross-Network Node Classification. ICTAI Xinzheng Li, Yuhong Zhang, Peipei Li, Xuegang Hu
2021	—	`conf`	A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. CCIS Yuhong Zhang, Yuxin Xie, Pei-Pei Li, Xuegang Hu
2021	J	`jnl`	Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Appl. Intell. Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu
2021	J	`jnl`	Attentive interaction-driven entity resolution over multi-source web information. Neurocomputing Ying He, Gongqing Wu, Desheng Cai, Shengjie Hu, Xianyu Bao, Xuegang Hu
2021	J	`jnl`	Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu
2021	J	`jnl`	Lightweight Asymmetric Dilation Network for Real-Time Semantic Segmentation. IEEE Access Xuegang Hu, Yu Gong
2021	B	`conf`	Multi-Label Learning with Missing Features. IJCNN Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu
2021	B	`conf`	Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. IJCNN Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li
2021	J	`jnl`	Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Gener. Comput. Pei-Pei Li, Man Wu, Junhong He, Xuegang Hu
2021	J	`jnl`	Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu
2020	J	`jnl`	A Survey on Multi-Label Data Stream Classification. IEEE Access Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu
2020	—	`conf`	Adaptive domain of dynamic distribution based on manifold space. ICKG Daoyuan Yu, Xuegang Hu
2020	J	`jnl`	Corrections to "An Effective Confidence-Based Early Classification of Time Series". IEEE Access Junwei Lv, Xuegang Hu, Lei Li, Peipei Li
2020	J	`jnl`	DRU-net: a novel U-net for biomedical image segmentation. IET Image Process. Xuegang Hu, Hongguang Yang
2020	—	`conf`	Dynamically Jointing character and word embedding for Chinese text Classification. ICKG Xuetao Tang, Xuegang Hu, Pei-Pei Li
2020	J	`jnl`	Efficient Fast Semantic Segmentation Using Continuous Shuffle Dilated Convolutions. IEEE Access Xuegang Hu, Haibo Wang
2020	J	`jnl`	LDPNet: A Lightweight Densely Connected Pyramid Network for Real-Time Semantic Segmentation. IEEE Access Xuegang Hu, Liyuan Jing
2020	—	`conf`	Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. ICKG Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li
2020	J	`jnl`	Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu
2020	J	`jnl`	Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu
2020	J	`jnl`	Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings. Pattern Recognit. Lett. Yuhong Zhang, Yuling Li, Yi Zhu, Xuegang Hu
2019	B	`conf`	A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction. GLOBECOM Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, Lei Shi
2019	—	`conf`	Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series. SPAC Lei Li, Wei Li, Jianxing Liao, Xuegang Hu
2019	J	`jnl`	An Effective Confidence-Based Early Classification of Time Series. IEEE Access Junwei Lv, Xuegang Hu, Lei Li, Pei-Pei Li
2019	J	`jnl`	An efficient and fast algorithm for community detection based on node role analysis. Int. J. Mach. Learn. Cybern. Xuegang Hu, Wei He, Lei Li, Yaojin Lin, Huizong Li, Jianhan Pan
2019	—	`conf`	Appraisal expression extraction based on semantic and dependency parsing. AIIPCC Longmao Hu, Bingwu Fang, Xuegang Hu
2019	J	`jnl`	Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree. Entropy Huaining Sun, Xuegang Hu, Yuhong Zhang
2019	—	`conf`	Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. ICBK Zhe Chu, Peipei Li, Xuegang Hu
2019	J	`jnl`	Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification. IEEE Access Gongqing Wu, Huicheng Zhang, Ying He, Xianyu Bao, Lei Li, Xuegang Hu
2019	J	`jnl`	Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang
2019	J	`jnl`	OFS-Density: A novel online streaming feature selection method. Pattern Recognit. Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2019	J	`jnl`	Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2019	J	`jnl`	Representation learning via serial autoencoders for domain adaptation. Neurocomputing Shuai Yang, Yuhong Zhang, Yi Zhu, Pei-Pei Li, Xuegang Hu
2019	J	`jnl`	Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu
2019	—	`conf`	The ℓ ICAIS (2) Shuai Yang, Yuhong Zhang, Yi Zhu, Han Ding, Xuegang Hu
2019	J	`jnl`	Transfer learning with deep manifold regularized auto-encoders. Neurocomputing Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu
2019	—	`conf`	Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. ICBK Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu
2019	—	`conf`	Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering. ICBK Yuxin Xie, Xuegang Hu, Yuhong Zhang, Shi Li
2018	J	`jnl`	A survey on online feature selection with streaming features. Frontiers Comput. Sci. Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu
2018	—	`conf`	An Online Transfer Learning Algorithm with Adaptive Cost. SPML Yuhong Zhang, Mimi Wu, Xuegang Hu, Yi Zhu
2018	—	`conf`	Chinese Entity Relation Extraction Based on Syntactic Features. ICBK Yishun Jiang, Gongqing Wu, Chenyang Bu, Xuegang Hu
2018	J	`jnl`	Co-occurrence pattern mining based on a biological approximation scoring matrix. Pattern Anal. Appl. Dan Guo, Ermao Yuan, Xuegang Hu, Xindong Wu
2018	J	`jnl`	Dead-core rate for the fast diffusion equation with strong absorption in higher dimensional cases. Appl. Math. Comput. Pan Zheng, Chunlai Mu, Xuegang Hu
2018	J	`jnl`	Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base. IEEE Access Gong-Qing Wu, Ying He, Xuegang Hu
2018	J	`jnl`	Global asymptotic stability of steady states in a chemotaxis-growth system with singular sensitivity. Comput. Math. Appl. Pan Zheng, Chunlai Mu, Robert Willie, Xuegang Hu
2018	J	`jnl`	Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybern. Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
2018	—	`conf`	Multi-target Core Network-Based Networked Multi-label Classification. ICBK Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu
2018	J	`jnl`	Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognit. Lett. Xuegang Hu, Haiyan Wang, Pei-Pei Li
2018	—	`conf`	Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. ICBK Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2018	J	`jnl`	Simultaneous perturbation stochastic approximation-based radio occultation data assimilation for sensing atmospheric parameters. Int. J. Distributed Sens. Networks Hua-Zheng Du, Guoye Chen, Xuegang Hu, Na Xia, Biaodian Xu
2018	J	`jnl`	Transfer learning with stacked reconstruction independent component analysis. Knowl. Based Syst. Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2017	—	`conf`	A New Online Feature Selection Method Using Neighborhood Rough Set. ICBK Peng Zhou, Xuegang Hu, Pei-Pei Li
2017	J	`jnl`	Boundedness in a chemotaxis model with exponentially decaying diffusivity and consumption of chemoattractant. Comput. Math. Appl. Liangchen Wang, Xuegang Hu, Pan Zheng, Ling Li
2017	J	`jnl`	Online feature selection for high-dimensional class-imbalanced data. Knowl. Based Syst. Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2017	—	`conf`	Synonymous Entity Recognition Based on Feature Fusion. ICBK Desheng Cai, Jingjing He, Gong-Qing Wu, Xuegang Hu
2017	—	`conf`	Three-Way Dicision Community Detection Algorithm Based on Local Group Information. IJCRS (2) Jie Chen, Liandi Fang, Yanping Zhang, Shu Zhao, Ling Zhang, Fulan Qian, Feng Liu, Xiangyang Wang, Xuegang Hu
2017	J	`jnl`	Three-layer concept drifting detection in text data streams. Neurocomputing Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu
2016	—	`conf`	A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data. WAIM (2) Lu Liu, Jing Zhang, Pei-Pei Li, Yuhong Zhang, Xuegang Hu
2016	J	`jnl`	A social tag clustering method based on common co-occurrence group similarity. Frontiers Inf. Technol. Electron. Eng. Huizong Li, Xuegang Hu, Yaojin Lin, Wei He, Jianhan Pan
2016	J	`jnl`	Boundedness in the higher dimensional attraction-repulsion chemotaxis-growth system. Comput. Math. Appl. Pan Zheng, Chunlai Mu, Xuegang Hu
2016	A*	`conf`	Concept Based Short Text Stream Classification with Topic Drifting Detection. ICDM Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
2016	J	`jnl`	Domain adaptation via Multi-Layer Transfer Learning. Neurocomputing Jianhan Pan, Xuegang Hu, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang, Yaojin Lin
2016	—	`conf`	Frequent Pattern Mining Based on Approximate Edit Distance Matrix. DSC Dan Guo, Ermao Yuan, Xuegang Hu
2016	—	`conf`	Max-Flow Rate Priority Algorithm for Evacuation Route Planning. DSC Dan Guo, Chen Gao, Wu Ni, Xuegang Hu
2016	J	`jnl`	Multi-bridge transfer learning. Knowl. Based Syst. Xuegang Hu, Jianhan Pan, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang
2016	J	`jnl`	Online Feature Selection with Group Structure Analysis. CoRR Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu, Xindong Wu
2016	J	`jnl`	Role-based Label Propagation Algorithm for Community Detection. CoRR Xuegang Hu, Wei He, Huizong Li, Jianhan Pan
2016	J	`jnl`	Visual Processing by a Unified Schatten-p Norm and ℓ CoRR Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan
2016	J	`jnl`	一种面向不完全标记的文本数据流自适应分类方法 (Self-adaptation Classification for Incomplete Labeled Text Data Stream). 计算机科学 Yuhong Zhang, Wei Chen, Xuegang Hu
2015	J	`jnl`	A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Trans. Knowl. Data Eng. Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu
2015	J	`jnl`	An Incremental Decision Tree for Mining Multilabel Data. Appl. Artif. Intell. Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2015	J	`jnl`	Cross-domain sentiment classification-feature divergence, polarity divergence or both? Pattern Recognit. Lett. Yuhong Zhang, Xuegang Hu, Pei-Pei Li, Lei Li, Xindong Wu
2015	J	`jnl`	Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2015	J	`jnl`	Online Feature Selection with Group Structure Analysis. IEEE Trans. Knowl. Data Eng. Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu
2015	J	`jnl`	Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. Knowl. Based Syst. Jianhan Pan, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li
2015	J	`jnl`	Visual data denoising with a unified Schatten-p norm and ℓ Pattern Recognit. Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan
2015	J	`jnl`	面向评论信息的跨领域词汇情感倾向判别方法 (Approach of Cross-domain Word Sentiment Orientation Identification on Reviews). 计算机科学 Fei Wu, Yuhong Zhang, Xuegang Hu
2014	B	`conf`	A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE. ICPR Jing Zhang, Xuegang Hu, Pei-Pei Li, Wei He, Yuhong Zhang, Huizong Li
2014	J	`jnl`	A Matching Algorithm in PMWL based on CluTree. New Gener. Comput. Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao
2014	J	`jnl`	A Novel Variational Model with Strict Convexity for Multiplicative Noise Removal. J. Comput. Xuegang Hu, Yuefang Lou, Tianqiao Hu
2014	J	`jnl`	Ensemble learning from multiple information sources via label propagation and consensus. Appl. Intell. Yaojin Lin, Xuegang Hu, Xindong Wu
2014	B	`conf`	Extremal optimization-based semi-supervised algorithm with conflict pairwise constraints for community detection. ASONAM Lei Li, Mei Du, Guanfeng Liu, Xuegang Hu, Gong-Qing Wu
2014	J	`jnl`	Image Denoising with a Unified Schattern-p Norm and ℓ CoRR Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan
2014	J	`jnl`	Knowledge reduction for decision tables with attribute value taxonomies. Knowl. Based Syst. Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu
2014	J	`jnl`	Quality of information-based source assessment and selection. Neurocomputing Yaojin Lin, Xuegang Hu, Xindong Wu
2014	J	`jnl`	Robust Face Recognition via Adaptive Sparse Representation. CoRR Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu
2014	J	`jnl`	Robust Face Recognition via Adaptive Sparse Representation. IEEE Trans. Cybern. Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu
2014	A*	`conf`	Searching for Recent Celebrity Images in Microblog Platform. ACM Multimedia Na Zhao, Richang Hong, Meng Wang, Xuegang Hu, Tat-Seng Chua
2013	J	`jnl`	A Parallel Clustering Algorithm with MPI - MKmeans. J. Comput. Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao
2013	J	`jnl`	Anonymizing classification data using rough set theory. Knowl. Based Syst. Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu
2013	B	`conf`	Flexible Pattern Matching with Gap-Length and One-Off Conditions. ICTAI Dan Guo, Taining Xiang, Xuegang Hu, Xindong Wu
2013	J	`jnl`	MAIL: mining sequential patterns with wildcards. Int. J. Data Min. Bioinform. Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua
2013	J	`jnl`	Mining stable patterns in multiple correlated databases. Decis. Support Syst. Yaojin Lin, Xuegang Hu, Xiaomei Li, Xindong Wu
2013	J	`jnl`	Multi-level rough set reduction for decision rule mining. Appl. Intell. Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu
2013	A*	`conf`	Online Group Feature Selection. IJCAI Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang, Xindong Wu
2013	—	`conf`	Online Learning towards Big Data Analysis in Health Informatics. Brain and Health Informatics Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Haibo Hu, Fangqing Gu
2013	J	`jnl`	Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph. Appl. Intell. Dan Guo, Xuegang Hu, Fei Xie, Xindong Wu
2013	A*	`conf`	Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. AAAI Xiaomei Li, Xindong Wu, Gong-Qing Wu, Xuegang Hu
2013	A	`conf`	Web news extraction via path ratios. CIKM Gong-Qing Wu, Li Li, Xuegang Hu, Xindong Wu
2012	—	`conf`	A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. GRID Jing Zhang, Gong-Qing Wu, Xuegang Hu, Xindong Wu
2012	—	`conf`	A Heuristic Algorithm for Scheduling on Grid Computing Environment. ChinaGrid Jing Wang, Gong-Qing Wu, Bin Zhang, Xuegang Hu
2012	Misc	`conf`	A Multi-domain Adaptation for sentiment classification algorithm based on Class Distribution. GrC Kongbing Hu, Yuhong Zhang, Xuegang Hu
2012	—	`conf`	An Ensemble Method Based on Confidence Probability for Multi-domain Sentiment Classification. ICIC (1) Quan Zhou, Yuhong Zhang, Xuegang Hu
2012	J	`jnl`	Learning from concept drifting data streams with unlabeled data. Neurocomputing Xindong Wu, Pei-Pei Li, Xuegang Hu
2012	J	`jnl`	Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Trans. Intell. Syst. Technol. Pei-Pei Li, Xindong Wu, Xuegang Hu
2012	Misc	`conf`	Pattern matching with wildcards based on multiple suffix trees. GrC Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Chi Wang
2011	J	`jnl`	A Bit-Parallel Algorithm for Sequential Pattern Matching with Wildcards. Cybern. Syst. Dan Guo, Xiao-Li Hong, Xuegang Hu, Jun Gao, Ying-Ling Liu, Gong-Qing Wu, Xindong Wu
2011	—	`conf`	A Parallel K-Means Clustering Algorithm with MPI. PAAP Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao
2011	—	`conf`	An Efficient Ensemble Method for Classifying Skewed Data Streams. ICIC (3) Juan Zhang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2011	—	`conf`	Hierarchical user interest modeling for Chinese web pages. ICIMCS Shiying Li, Gong-Qing Wu, Xuegang Hu
2011	—	`conf`	K-Means Clustering with Bagging and MapReduce. HICSS Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu
2011	—	`conf`	Keyword extraction based on sequential pattern mining. ICIMCS Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu
2011	—	`conf`	Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. PAKDD (1) Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang
2010	—	`conf`	A 2-Tier Clustering Algorithm with Map-Reduce. ChinaGrid Jing Zhang, Gong-Qing Wu, Haiguang Li, Xuegang Hu, Xindong Wu
2010	Misc	`conf`	A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. GrC Qun Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Xindong Wu
2010	Misc	`conf`	A New Automatic Categorization Algorithm for Web Services. GrC Jiaying He, Pei-Pei Li, Xuegang Hu, Xindong Wu
2010	J	`jnl`	A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Appl. Artif. Intell. Pei-Pei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao
2010	—	`conf`	A classification algorithm for noisy data streams. FSKD Yan Li, Yuhong Zhang, Xuegang Hu, Pei-Pei Li
2010	—	`conf`	A weighted algorithm of inductive transfer learning based on maximum entropy model. FSKD Yuhong Zhang, Xuegang Hu, Canhua Mei, Pei-Pei Li
2010	—	`conf`	Keyphrase extraction based on semantic relatedness. IEEE ICCI Fei Xie, Xindong Wu, Xuegang Hu
2010	A*	`conf`	Learning from Concept Drifting Data Streams with Unlabeled Data. AAAI Pei-Pei Li, Xindong Wu, Xuegang Hu
2010	—	`conf`	Logistic Regression for Transductive Transfer Learning from Multiple Sources. ADMA (2) Yuhong Zhang, Xuegang Hu, Yucheng Fang
2010	C	`conf`	Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACML Pei-Pei Li, Xindong Wu, Xuegang Hu
2010	J	`jnl`	News Filtering and Summarization on the Web. IEEE Intell. Syst. Xindong Wu, Gong-Qing Wu, Fei Xie, Zhu Zhu, Xuegang Hu, Hao Lu, Huiqian Li
2010	Misc	`conf`	Pattern Matching with Flexible Wildcards and Recurring Characters. GrC Haiping Wang, Fei Xie, Xuegang Hu, Pei-Pei Li, Xindong Wu
2010	Misc	`conf`	Privacy preserving attribute reduction for horizontally partitioned data. ISKE Mingquan Ye, Xuegang Hu, Changrong Wu
2010	—	`conf`	Sequential Pattern Mining with Wildcards. ICTAI (1) Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua
2009	Misc	`conf`	A relation extraction method of Chinese named entities based on location and semantic features. GrC Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li
2009	Misc	`conf`	An Improved Database Classification Algorithm for Multi-database Mining. FAW Hong Li, Xuegang Hu, Yanming Zhang
2009	—	`conf`	BPBM: An Algorithm for String Matching with Wildcards and Length Constraints. RSFDGrC Xiao-Li Hong, Xindong Wu, Xuegang Hu, Ying-Ling Liu, Jun Gao, Gong-Qing Wu
2009	—	`conf`	Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. MLDM Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao
2009	—	`conf`	MReC4.5: C4.5 Ensemble Classification with MapReduce. ChinaGrid Gong-Qing Wu, Hai-Guang Li, Xuegang Hu, Yuan-Jun Bi, Jing Zhang, Xindong Wu
2009	—	`conf`	Mining Frequent Patterns with Gaps and One-Off Condition. CSE (1) Yongming Huang, Xindong Wu, Xuegang Hu, Fei Xie, Jun Gao, Gong-Qing Wu
2009	B	`conf`	Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. PAKDD Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu
2009	Misc	`conf`	Pattern Matching with Wildcards based on Key Character Location. IRI Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Gong-Qing Wu, Haiping Wang, Xiao-Li Hong
2008	—	`conf`	Automatic Recognition of News Web Pages. ISI Workshops Zhu Zhu, Gong-Qing Wu, Xindong Wu, Xuegang Hu, Fei-Yue Wang
2008	—	`conf`	Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations. ISI Workshops Fei Xie, Xindong Wu, Xuegang Hu, Fei-Yue Wang
2008	—	`conf`	Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. ICDM Workshops Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang
2008	C	`conf`	Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ADMA Pei-Pei Li, Xuegang Hu, Xindong Wu
2008	J	`jnl`	Research on Rough Set Theory and Applications in China. Trans. Rough Sets Guoyin Wang, Qinghua Zhang, Houkuan Huang, Dongyi Ye, Qinghua Hu, Xuegang Hu, Zhongzhi Shi, Yongli Li, Lin Shang, Liping An, Ying Sai, Shanben Chen, Jiye Liang, Keyun Qin, Huanglin Zeng, Keming Xie, Duoqian Miao, Fan Min, Zhaocong Wu, Wei-Zhi Wu, Jianhua Dai
2008	Misc	`conf`	The Research on Application of Granular Transform in Classification based on Domain Knowledge. GrC Jing Zhang, Xuegang Hu
2007	—	`conf`	A New Algorithm for Attribute Reduction in Decision Tables. RSFDGrC Xuegang Hu, Junhua Shi, Xindong Wu
2007	—	`conf`	A Parallel Algorithm to Construct Concept Lattice. FSKD (2) Xuegang Hu, Xiang Wei, Dexing Wang, Pei-Pei Li
2007	J	`jnl`	A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. J. Comput. Sci. Technol. Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu
2007	—	`conf`	Mining Frequent Itemsets Using a Pruned Concept Lattice. FSKD (3) Xuegang Hu, Wei Liu, Dexing Wang, Xindong Wu
2007	B	`conf`	Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge. PAKDD Yusheng Cheng, Yousheng Zhang, Xuegang Hu, Xiaoyao Jiang
2007	—	`conf`	Varying Density Spatial Clustering Based on a Hierarchical Tree. MLDM Xuegang Hu, Dongbo Wang, Xindong Wu
2006	—	`conf`	The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model. RSKT Yusheng Cheng, Yousheng Zhang, Xuegang Hu
2006	—	`conf`	The Research of Sampling for Mining Frequent Itemsets. RSKT Xuegang Hu, Haitao Yu
2005	—	`conf`	The Representation and Resolution of Rough Sets Based on the Extended Concept Lattice. FSKD (1) Xuegang Hu, Yuhong Zhang, Xinya Wang