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2020 – today
- 2024
- [j98]Zhanwang Chen, Peipei Li, Xuegang Hu:
Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification. Appl. Intell. 54(17-18): 8020-8040 (2024) - [j97]Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang, Zhifan Gao, Shu Zhao, Kemal Polat:
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network. Artif. Intell. Medicine 154: 102932 (2024) - [j96]Yuhong Zhang, Jianqing Wu, Qi Zhang, Xuegang Hu:
Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation. Data Intell. 6(1): 183-200 (2024) - [j95]Yizhang Zou, Xuegang Hu, Peipei Li, Yuhang Ge:
Learning shared and non-redundant label-specific features for partial multi-label classification. Inf. Sci. 656: 119917 (2024) - [j94]Xuegang Hu, Yan Ke:
EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation. J. Real Time Image Process. 21(2): 40 (2024) - [j93]Xuegang Hu, Wei Zhao:
Lightweight multi-scale generative adversarial network with attention for image denoising. Multim. Syst. 30(5): 289 (2024) - [j92]Xuegang Hu, Wei Zhao:
Multi-scale information fusion generative adversarial network for real-world noisy image denoising. Mach. Vis. Appl. 35(4): 81 (2024) - [j91]Xuegang Hu, Jing Feng, Juelin Gong:
LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes. Pattern Anal. Appl. 27(1): 27 (2024) - [j90]Yizhang Zou, Xuegang Hu, Pei-Pei Li:
Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognit. 145: 109900 (2024) - [j89]Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu:
A cross-network node classification method in open-set scenario. Pattern Recognit. 155: 110718 (2024) - [j88]Xuegang Hu, Jing Feng:
A Fast Attention-Guided Hierarchical Decoding Network for Real-Time Semantic Segmentation. Sensors 24(1): 95 (2024) - [j87]Yuhong Zhang, Congmei Shi, Xinzheng Li, Zan Zhang, Xuegang Hu:
Multicomponent Similarity Graphs for Cross-Network Node Classification. IEEE Trans. Artif. Intell. 5(3): 1411-1424 (2024) - [j86]Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu:
Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. 15(1): 10:1-10:28 (2024) - [j85]Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu:
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42(5): 139:1-139:26 (2024) - [c96]Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu:
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. IJCAI 2024: 2045-2053 - [i9]Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu:
Online Multi-Label Classification under Noisy and Changing Label Distribution. CoRR abs/2410.02394 (2024) - 2023
- [j84]Xuegang Hu, Baoman Zhou:
LBARNet: Lightweight bilateral asymmetric residual network for real-time semantic segmentation. Comput. Graph. 116: 1-12 (2023) - [j83]Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu:
Meta-path based graph contrastive learning for micro-video recommendation. Expert Syst. Appl. 222: 119713 (2023) - [j82]Xuegang Hu, Shuhan Xu, Liyuan Jing:
Lightweight attention-guided redundancy-reuse network for real-time semantic segmentation. IET Image Process. 17(9): 2649-2658 (2023) - [j81]Boyan Wang, Xuegang Hu, Jinglin Zhang, Chenchu Xu, Zhifan Gao:
Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules. IEEE Internet Things J. 10(2): 1536-1545 (2023) - [j80]Xuegang Hu, Yuanjing Liu:
Lightweight multi-scale attention-guided network for real-time semantic segmentation. Image Vis. Comput. 139: 104823 (2023) - [j79]Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu:
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data 9(1): 341-357 (2023) - [j78]Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo:
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 447-461 (2023) - [j77]Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu:
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. ACM Trans. Knowl. Discov. Data 17(5): 65:1-65:26 (2023) - [j76]Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu:
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8085-8099 (2023) - [c95]Yizhang Zou, Xuegang Hu, Pei-Pei Li:
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG 2023: 274-281 - [c94]Qingxia Jiang, Peipei Li, Yuhong Zhang, Xuegang Hu:
Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. IJCNN 2023: 1-8 - [c93]Jiajun Li, Pei-Pei Li, Xuegang Hu:
Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IJCNN 2023: 1-8 - [c92]Xiulan Yuan, Xuegang Hu, Pei-Pei Li:
Multi-source Multi-label Feature Selection. IJCNN 2023: 1-8 - [c91]Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu:
Meta Multi-agent Exercise Recommendation: A Game Application Perspective. KDD 2023: 1441-1452 - [c90]Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu:
Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation. ICMR 2023: 48-56 - 2022
- [j75]Xuegang Hu, Liyuan Jing, Uroosa Sehar:
Joint pyramid attention network for real-time semantic segmentation of urban scenes. Appl. Intell. 52(1): 580-594 (2022) - [j74]Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang:
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. 23-S(7): 518 (2022) - [j73]Xuegang Hu, Juelin Gong:
LARFNet: Lightweight asymmetric refining fusion network for real-time semantic segmentation. Comput. Graph. 109: 55-64 (2022) - [j72]Yingying Liu, Pei-Pei Li, Xuegang Hu:
Combining context-relevant features with multi-stage attention network for short text classification. Comput. Speech Lang. 71: 101268 (2022) - [j71]Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu:
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238: 107882 (2022) - [j70]Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu:
Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. 121: 108259 (2022) - [j69]Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. 129: 108742 (2022) - [j68]Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu:
Fuzzy Bayesian Knowledge Tracing. IEEE Trans. Fuzzy Syst. 30(7): 2412-2425 (2022) - [c89]Junwei Lv, Xuegang Hu:
A Baseline for Early Classification of Time Series in An Open World. COMPSAC 2022: 343-351 - [c88]Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu:
Dual Confidence Learning Network for Open-World Time Series Classification. DASFAA (2) 2022: 574-589 - [c87]Yuhang Ge, Xuegang Hu:
Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. ICKG 2022: 64-70 - [c86]Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu:
DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. ICONIP (2) 2022: 255-266 - [c85]Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. ICONIP (4) 2022: 336-347 - [c84]Yuhong Zhang, Haitao Shu, Chenyang Bu, Xuegang Hu:
A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. ICTAI 2022: 391-395 - [c83]Xinzheng Li, Yuhong Zhang, Peipei Li, Xuegang Hu:
Structure Similarity Graph for Cross-Network Node Classification. ICTAI 2022: 441-445 - [c82]Shiyuan Qiu, Peipei Li, Xuegang Hu:
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. IJCNN 2022: 1-8 - [c81]Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang:
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IJCNN 2022: 1-8 - [c80]Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu:
Multi-Label Learning with Missing Labels via Common and Label-Specific Features. IJCNN 2022: 1-8 - [c79]Zhidong Huang, Peipei Li, Xuegang Hu:
PU Matrix Completion Based Multi-label Classification with Missing Labels. ISDA (2) 2022: 71-82 - [c78]Yuhong Zhang, Zhihao Lin, Lin Qian, Xuegang Hu:
Multi-modal Component Representation for Multi-source Domain Adaptation Method. PRICAI (1) 2022: 104-109 - [c77]Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu:
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. PRICAI (1) 2022: 353-365 - [c76]Shuai Sun, Xuegang Hu, Chenyang Bu, Fei Liu, Yuhong Zhang, Wenjian Luo:
Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application. ICSI (1) 2022: 282-293 - [i8]Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu:
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. CoRR abs/2210.08971 (2022) - [i7]Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu:
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing. CoRR abs/2210.15470 (2022) - 2021
- [j67]Xuegang Hu, Yu Gong:
Lightweight Asymmetric Dilation Network for Real-Time Semantic Segmentation. IEEE Access 9: 55630-55643 (2021) - [j66]Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu:
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Appl. Intell. 51(11): 7666-7678 (2021) - [j65]Ying He, Gongqing Wu, Desheng Cai, Shengjie Hu, Xianyu Bao, Xuegang Hu:
Attentive interaction-driven entity resolution over multi-source web information. Neurocomputing 425: 266-277 (2021) - [j64]Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu:
Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. 215: 106749 (2021) - [j63]Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu:
Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. 218: 106876 (2021) - [j62]Pei-Pei Li, Man Wu, Junhong He, Xuegang Hu:
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Gener. Comput. 39(2): 341-376 (2021) - [c75]Yuhong Zhang, Yuxin Xie, Pei-Pei Li, Xuegang Hu:
A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. CCIS 2021: 449-454 - [c74]Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu:
Multi-Label Learning with Missing Features. IJCNN 2021: 1-8 - [c73]Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li:
Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. IJCNN 2021: 1-9 - 2020
- [j61]Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu:
A Survey on Multi-Label Data Stream Classification. IEEE Access 8: 1249-1275 (2020) - [j60]Xuegang Hu, Haibo Wang:
Efficient Fast Semantic Segmentation Using Continuous Shuffle Dilated Convolutions. IEEE Access 8: 70913-70924 (2020) - [j59]Junwei Lv, Xuegang Hu, Lei Li, Peipei Li:
Corrections to "An Effective Confidence-Based Early Classification of Time Series". IEEE Access 8: 163044 (2020) - [j58]Xuegang Hu, Liyuan Jing:
LDPNet: A Lightweight Densely Connected Pyramid Network for Real-Time Semantic Segmentation. IEEE Access 8: 212647-212658 (2020) - [j57]Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu:
Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. 160: 113635 (2020) - [j56]Xuegang Hu, Hongguang Yang:
DRU-net: a novel U-net for biomedical image segmentation. IET Image Process. 14(1): 192-200 (2020) - [j55]Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. 190: 105161 (2020) - [j54]Yuhong Zhang, Yuling Li, Yi Zhu, Xuegang Hu:
Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings. Pattern Recognit. Lett. 129: 311-316 (2020) - [c72]Daoyuan Yu, Xuegang Hu:
Adaptive domain of dynamic distribution based on manifold space. ICKG 2020: 58-63 - [c71]Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li:
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. ICKG 2020: 108-115 - [c70]Xuetao Tang, Xuegang Hu, Pei-Pei Li:
Dynamically Jointing character and word embedding for Chinese text Classification. ICKG 2020: 336-343
2010 – 2019
- 2019
- [j53]Junwei Lv, Xuegang Hu, Lei Li, Pei-Pei Li:
An Effective Confidence-Based Early Classification of Time Series. IEEE Access 7: 96113-96124 (2019) - [j52]Gongqing Wu, Huicheng Zhang, Ying He, Xianyu Bao, Lei Li, Xuegang Hu:
Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification. IEEE Access 7: 139580-139591 (2019) - [j51]Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang:
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7: 143015-143024 (2019) - [j50]Huaining Sun, Xuegang Hu, Yuhong Zhang:
Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree. Entropy 21(2): 198 (2019) - [j49]Shuai Yang, Yuhong Zhang, Yi Zhu, Pei-Pei Li, Xuegang Hu:
Representation learning via serial autoencoders for domain adaptation. Neurocomputing 351: 1-9 (2019) - [j48]Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu:
Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369: 145-154 (2019) - [j47]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. 481: 258-279 (2019) - [j46]Xuegang Hu, Wei He, Lei Li, Yaojin Lin, Huizong Li, Jianhan Pan:
An efficient and fast algorithm for community detection based on node role analysis. Int. J. Mach. Learn. Cybern. 10(4): 641-654 (2019) - [j45]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
OFS-Density: A novel online streaming feature selection method. Pattern Recognit. 86: 48-61 (2019) - [c69]Longmao Hu, Bingwu Fang, Xuegang Hu:
Appraisal expression extraction based on semantic and dependency parsing. AIIPCC 2019: 66:1-66:8 - [c68]Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, Lei Shi:
A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction. GLOBECOM 2019: 1-6 - [c67]Zhe Chu, Peipei Li, Xuegang Hu:
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. ICBK 2019: 58-65 - [c66]Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu:
Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. ICBK 2019: 160-166 - [c65]Yuxin Xie, Xuegang Hu, Yuhong Zhang, Shi Li:
Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering. ICBK 2019: 302-309 - [c64]Shuai Yang, Yuhong Zhang, Yi Zhu, Han Ding, Xuegang Hu:
The ℓ _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation. ICAIS (2) 2019: 100-111 - [c63]Lei Li, Wei Li, Jianxing Liao, Xuegang Hu:
Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series. SPAC 2019: 68-74 - [i6]Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR abs/1908.01342 (2019) - 2018
- [j44]Gong-Qing Wu, Ying He, Xuegang Hu:
Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base. IEEE Access 6: 6220-6231 (2018) - [j43]Pan Zheng, Chunlai Mu, Xuegang Hu:
Dead-core rate for the fast diffusion equation with strong absorption in higher dimensional cases. Appl. Math. Comput. 335: 292-304 (2018) - [j42]Pan Zheng, Chunlai Mu, Robert Willie, Xuegang Hu:
Global asymptotic stability of steady states in a chemotaxis-growth system with singular sensitivity. Comput. Math. Appl. 75(5): 1667-1675 (2018) - [j41]Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu:
A survey on online feature selection with streaming features. Frontiers Comput. Sci. 12(3): 479-493 (2018) - [j40]Hua-Zheng Du, Guoye Chen, Xuegang Hu, Na Xia, Biaodian Xu:
Simultaneous perturbation stochastic approximation-based radio occultation data assimilation for sensing atmospheric parameters. Int. J. Distributed Sens. Networks 14(12) (2018) - [j39]Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Transfer learning with stacked reconstruction independent component analysis. Knowl. Based Syst. 152: 100-106 (2018) - [j38]Dan Guo, Ermao Yuan, Xuegang Hu, Xindong Wu:
Co-occurrence pattern mining based on a biological approximation scoring matrix. Pattern Anal. Appl. 21(4): 977-996 (2018) - [j37]Xuegang Hu, Haiyan Wang, Pei-Pei Li:
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognit. Lett. 116: 187-194 (2018) - [j36]Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybern. 48(9): 2697-2711 (2018) - [c62]Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. ICBK 2018: 83-90 - [c61]Yishun Jiang, Gongqing Wu, Chenyang Bu, Xuegang Hu:
Chinese Entity Relation Extraction Based on Syntactic Features. ICBK 2018: 99-105 - [c60]Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu:
Multi-target Core Network-Based Networked Multi-label Classification. ICBK 2018: 274-281 - [c59]Yuhong Zhang, Mimi Wu, Xuegang Hu, Yi Zhu:
An Online Transfer Learning Algorithm with Adaptive Cost. SPML 2018: 135-141 - 2017
- [j35]Liangchen Wang, Xuegang Hu, Pan Zheng, Ling Li:
Boundedness in a chemotaxis model with exponentially decaying diffusivity and consumption of chemoattractant. Comput. Math. Appl. 74(10): 2444-2448 (2017) - [j34]Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu:
Three-layer concept drifting detection in text data streams. Neurocomputing 260: 393-403 (2017) - [j33]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online feature selection for high-dimensional class-imbalanced data. Knowl. Based Syst. 136: 187-199 (2017) - [c58]Peng Zhou, Xuegang Hu, Pei-Pei Li:
A New Online Feature Selection Method Using Neighborhood Rough Set. ICBK 2017: 135-142 - [c57]Desheng Cai, Jingjing He, Gong-Qing Wu, Xuegang Hu:
Synonymous Entity Recognition Based on Feature Fusion. ICBK 2017: 161-166 - [c56]Jie Chen, Liandi Fang, Yanping Zhang, Shu Zhao, Ling Zhang, Fulan Qian, Feng Liu, Xiangyang Wang, Xuegang Hu:
Three-Way Dicision Community Detection Algorithm Based on Local Group Information. IJCRS (2) 2017: 171-182 - 2016
- [j32]Pan Zheng, Chunlai Mu, Xuegang Hu:
Boundedness in the higher dimensional attraction-repulsion chemotaxis-growth system. Comput. Math. Appl. 72(9): 2194-2202 (2016) - [j31]Jianhan Pan, Xuegang Hu, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang, Yaojin Lin:
Domain adaptation via Multi-Layer Transfer Learning. Neurocomputing 190: 10-24 (2016) - [j30]Yuhong Zhang, Wei Chen, Xuegang Hu:
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 43(12): 179-182 (2016) - [j29]Huizong Li, Xuegang Hu, Yaojin Lin, Wei He, Jianhan Pan:
A social tag clustering method based on common co-occurrence group similarity. Frontiers Inf. Technol. Electron. Eng. 17(2): 122-134 (2016) - [j28]Xuegang Hu, Jianhan Pan, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang:
Multi-bridge transfer learning. Knowl. Based Syst. 97: 60-74 (2016) - [c55]Dan Guo, Ermao Yuan, Xuegang Hu:
Frequent Pattern Mining Based on Approximate Edit Distance Matrix. DSC 2016: 179-188 - [c54]Dan Guo, Chen Gao, Wu Ni, Xuegang Hu:
Max-Flow Rate Priority Algorithm for Evacuation Route Planning. DSC 2016: 275-283 - [c53]Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Concept Based Short Text Stream Classification with Topic Drifting Detection. ICDM 2016: 1009-1014 - [c52]Lu Liu, Jing Zhang, Pei-Pei Li, Yuhong Zhang, Xuegang Hu:
A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data. WAIM (2) 2016: 369-379 - [i5]Xuegang Hu, Wei He, Huizong Li, Jianhan Pan:
Role-based Label Propagation Algorithm for Community Detection. CoRR abs/1601.06307 (2016) - [i4]Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan:
Visual Processing by a Unified Schatten-p Norm and ℓq Norm Regularized Principal Component Pursuit. CoRR abs/1608.05856 (2016) - [i3]Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu, Xindong Wu:
Online Feature Selection with Group Structure Analysis. CoRR abs/1608.05889 (2016) - 2015
- [j27]Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang:
An Incremental Decision Tree for Mining Multilabel Data. Appl. Artif. Intell. 29(10): 992-1014 (2015) - [j26]Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang:
Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing 166: 68-83 (2015) - [j25]Fei Wu, Yuhong Zhang, Xuegang Hu:
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 42(6): 220-222 (2015) - [j24]Jianhan Pan, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li:
Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. Knowl. Based Syst. 90: 199-210 (2015) - [j23]Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan:
Visual data denoising with a unified Schatten-p norm and ℓq norm regularized principal component pursuit. Pattern Recognit. 48(10): 3135-3144 (2015) - [j22]Yuhong Zhang, Xuegang Hu, Pei-Pei Li, Lei Li, Xindong Wu:
Cross-domain sentiment classification-feature divergence, polarity divergence or both? Pattern Recognit. Lett. 65: 44-50 (2015) - [j21]Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu:
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Trans. Knowl. Data Eng. 27(10): 2604-2617 (2015) - [j20]Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu:
Online Feature Selection with Group Structure Analysis. IEEE Trans. Knowl. Data Eng. 27(11): 3029-3041 (2015) - 2014
- [j19]Yaojin Lin, Xuegang Hu, Xindong Wu:
Ensemble learning from multiple information sources via label propagation and consensus. Appl. Intell. 41(1): 30-41 (2014) - [j18]Yaojin Lin, Xuegang Hu, Xindong Wu:
Quality of information-based source assessment and selection. Neurocomputing 133: 95-102 (2014) - [j17]Xuegang Hu, Yuefang Lou, Tianqiao Hu:
A Novel Variational Model with Strict Convexity for Multiplicative Noise Removal. J. Comput. 9(3): 626-635 (2014) - [j16]Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu:
Knowledge reduction for decision tables with attribute value taxonomies. Knowl. Based Syst. 56: 68-78 (2014) - [j15]Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao:
A Matching Algorithm in PMWL based on CluTree. New Gener. Comput. 32(2): 95-122 (2014) - [j14]Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu:
Robust Face Recognition via Adaptive Sparse Representation. IEEE Trans. Cybern. 44(12): 2368-2378 (2014) - [c51]Lei Li, Mei Du, Guanfeng Liu, Xuegang Hu, Gong-Qing Wu:
Extremal optimization-based semi-supervised algorithm with conflict pairwise constraints for community detection. ASONAM 2014: 180-187 - [c50]Jing Zhang, Xuegang Hu, Pei-Pei Li, Wei He, Yuhong Zhang, Huizong Li:
A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE. ICPR 2014: 3684-3689 - [c49]Na Zhao, Richang Hong, Meng Wang, Xuegang Hu, Tat-Seng Chua:
Searching for Recent Celebrity Images in Microblog Platform. ACM Multimedia 2014: 841-844 - [i2]Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan:
Image Denoising with a Unified Schattern-p Norm and ℓq Norm Regularization. CoRR abs/1404.4774 (2014) - [i1]Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu:
Robust Face Recognition via Adaptive Sparse Representation. CoRR abs/1404.4780 (2014) - 2013
- [j13]Dan Guo, Xuegang Hu, Fei Xie, Xindong Wu:
Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph. Appl. Intell. 39(1): 57-74 (2013) - [j12]Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu:
Multi-level rough set reduction for decision rule mining. Appl. Intell. 39(3): 642-658 (2013) - [j11]Yaojin Lin, Xuegang Hu, Xiaomei Li, Xindong Wu:
Mining stable patterns in multiple correlated databases. Decis. Support Syst. 56: 202-210 (2013) - [j10]Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua:
MAIL: mining sequential patterns with wildcards. Int. J. Data Min. Bioinform. 8(1): 1-23 (2013) - [j9]Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao:
A Parallel Clustering Algorithm with MPI - MKmeans. J. Comput. 8(1): 10-17 (2013) - [j8]Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu:
Anonymizing classification data using rough set theory. Knowl. Based Syst. 43: 82-94 (2013) - [c48]Xiaomei Li, Xindong Wu, Gong-Qing Wu, Xuegang Hu:
Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. AAAI 2013: 1631-1632 - [c47]Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Haibo Hu, Fangqing Gu:
Online Learning towards Big Data Analysis in Health Informatics. Brain and Health Informatics 2013: 516-523 - [c46]Gong-Qing Wu, Li Li, Xuegang Hu, Xindong Wu:
Web news extraction via path ratios. CIKM 2013: 2059-2068 - [c45]Dan Guo, Taining Xiang, Xuegang Hu, Xindong Wu:
Flexible Pattern Matching with Gap-Length and One-Off Conditions. ICTAI 2013: 446-453 - [c44]Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang, Xindong Wu:
Online Group Feature Selection. IJCAI 2013: 1757-1763 - 2012
- [j7]Xindong Wu, Pei-Pei Li, Xuegang Hu:
Learning from concept drifting data streams with unlabeled data. Neurocomputing 92: 145-155 (2012) - [j6]Pei-Pei Li, Xindong Wu, Xuegang Hu:
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Trans. Intell. Syst. Technol. 3(2): 29:1-29:32 (2012) - [c43]Jing Wang, Gong-Qing Wu, Bin Zhang, Xuegang Hu:
A Heuristic Algorithm for Scheduling on Grid Computing Environment. ChinaGrid 2012: 36-42 - [c42]Kongbing Hu, Yuhong Zhang, Xuegang Hu:
A Multi-domain Adaptation for sentiment classification algorithm based on Class Distribution. GrC 2012: 179-184 - [c41]Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Chi Wang:
Pattern matching with wildcards based on multiple suffix trees. GrC 2012: 320-325 - [c40]Jing Zhang, Gong-Qing Wu, Xuegang Hu, Xindong Wu:
A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. GRID 2012: 12-21 - [c39]Quan Zhou, Yuhong Zhang, Xuegang Hu:
An Ensemble Method Based on Confidence Probability for Multi-domain Sentiment Classification. ICIC (1) 2012: 214-220 - 2011
- [j5]Dan Guo, Xiao-Li Hong, Xuegang Hu, Jun Gao, Ying-Ling Liu, Gong-Qing Wu, Xindong Wu:
A Bit-Parallel Algorithm for Sequential Pattern Matching with Wildcards. Cybern. Syst. 42(6): 382-401 (2011) - [c38]Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu:
K-Means Clustering with Bagging and MapReduce. HICSS 2011: 1-8 - [c37]Juan Zhang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
An Efficient Ensemble Method for Classifying Skewed Data Streams. ICIC (3) 2011: 144-151 - [c36]Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu:
Keyword extraction based on sequential pattern mining. ICIMCS 2011: 34-38 - [c35]Shiying Li, Gong-Qing Wu, Xuegang Hu:
Hierarchical user interest modeling for Chinese web pages. ICIMCS 2011: 164-169 - [c34]Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao:
A Parallel K-Means Clustering Algorithm with MPI. PAAP 2011: 60-64 - [c33]Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang:
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. PAKDD (1) 2011: 313-325 - 2010
- [j4]Pei-Pei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao:
A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Appl. Artif. Intell. 24(7): 680-710 (2010) - [j3]Xindong Wu, Gong-Qing Wu, Fei Xie, Zhu Zhu, Xuegang Hu, Hao Lu, Huiqian Li:
News Filtering and Summarization on the Web. IEEE Intell. Syst. 25(5): 68-76 (2010) - [c32]Fei Xie, Xindong Wu, Xuegang Hu:
Keyphrase extraction based on semantic relatedness. IEEE ICCI 2010: 308-312 - [c31]Pei-Pei Li, Xindong Wu, Xuegang Hu:
Learning from Concept Drifting Data Streams with Unlabeled Data. AAAI 2010: 1945-1946 - [c30]Yuhong Zhang, Xuegang Hu, Yucheng Fang:
Logistic Regression for Transductive Transfer Learning from Multiple Sources. ADMA (2) 2010: 175-182 - [c29]Jing Zhang, Gong-Qing Wu, Haiguang Li, Xuegang Hu, Xindong Wu:
A 2-Tier Clustering Algorithm with Map-Reduce. ChinaGrid 2010: 160-166 - [c28]Yan Li, Yuhong Zhang, Xuegang Hu, Pei-Pei Li:
A classification algorithm for noisy data streams. FSKD 2010: 2239-2244 - [c27]Yuhong Zhang, Xuegang Hu, Canhua Mei, Pei-Pei Li:
A weighted algorithm of inductive transfer learning based on maximum entropy model. FSKD 2010: 2740-2745 - [c26]Jiaying He, Pei-Pei Li, Xuegang Hu, Xindong Wu:
A New Automatic Categorization Algorithm for Web Services. GrC 2010: 200-205 - [c25]Qun Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Xindong Wu:
A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. GrC 2010: 639-644 - [c24]Haiping Wang, Fei Xie, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Pattern Matching with Flexible Wildcards and Recurring Characters. GrC 2010: 782-786 - [c23]Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua:
Sequential Pattern Mining with Wildcards. ICTAI (1) 2010: 241-247 - [c22]Mingquan Ye, Xuegang Hu, Changrong Wu:
Privacy preserving attribute reduction for horizontally partitioned data. ISKE 2010: 315-319 - [c21]Pei-Pei Li, Xindong Wu, Xuegang Hu:
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACML 2010: 241-252
2000 – 2009
- 2009
- [c20]Gong-Qing Wu, Hai-Guang Li, Xuegang Hu, Yuan-Jun Bi, Jing Zhang, Xindong Wu:
MReC4.5: C4.5 Ensemble Classification with MapReduce. ChinaGrid 2009: 249-255 - [c19]Yongming Huang, Xindong Wu, Xuegang Hu, Fei Xie, Jun Gao, Gong-Qing Wu:
Mining Frequent Patterns with Gaps and One-Off Condition. CSE (1) 2009: 180-186 - [c18]Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li:
A relation extraction method of Chinese named entities based on location and semantic features. GrC 2009: 334-339 - [c17]Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Gong-Qing Wu, Haiping Wang, Xiao-Li Hong:
Pattern Matching with Wildcards based on Key Character Location. IRI 2009: 167-170 - [c16]Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao:
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. MLDM 2009: 236-250 - [c15]Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu:
Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. PAKDD 2009: 376-388 - [c14]Xiao-Li Hong, Xindong Wu, Xuegang Hu, Ying-Ling Liu, Jun Gao, Gong-Qing Wu:
BPBM: An Algorithm for String Matching with Wildcards and Length Constraints. RSFDGrC 2009: 518-525 - 2008
- [j2]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:
Research on Rough Set Theory and Applications in China. Trans. Rough Sets 8: 352-395 (2008) - [c13]Pei-Pei Li, Xuegang Hu, Xindong Wu:
Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ADMA 2008: 733-740 - [c12]Jing Zhang, Xuegang Hu:
The Research on Application of Granular Transform in Classification based on Domain Knowledge. GrC 2008: 789-792 - [c11]Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang:
Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. ICDM Workshops 2008: 744-751 - [c10]Fei Xie, Xindong Wu, Xuegang Hu, Fei-Yue Wang:
Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations. ISI Workshops 2008: 490-495 - [c9]Zhu Zhu, Gong-Qing Wu, Xindong Wu, Xuegang Hu, Fei-Yue Wang:
Automatic Recognition of News Web Pages. ISI Workshops 2008: 496-501 - 2007
- [j1]Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu:
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. J. Comput. Sci. Technol. 22(5): 711-724 (2007) - [c8]Xuegang Hu, Xiang Wei, Dexing Wang, Pei-Pei Li:
A Parallel Algorithm to Construct Concept Lattice. FSKD (2) 2007: 119-123 - [c7]Xuegang Hu, Wei Liu, Dexing Wang, Xindong Wu:
Mining Frequent Itemsets Using a Pruned Concept Lattice. FSKD (3) 2007: 606-610 - [c6]Xuegang Hu, Dongbo Wang, Xindong Wu:
Varying Density Spatial Clustering Based on a Hierarchical Tree. MLDM 2007: 188-202 - [c5]Yusheng Cheng, Yousheng Zhang, Xuegang Hu, Xiaoyao Jiang:
Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge. PAKDD 2007: 457-464 - [c4]Xuegang Hu, Junhua Shi, Xindong Wu:
A New Algorithm for Attribute Reduction in Decision Tables. RSFDGrC 2007: 37-46 - 2006
- [c3]Yusheng Cheng, Yousheng Zhang, Xuegang Hu:
The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model. RSKT 2006: 122-128 - [c2]Xuegang Hu, Haitao Yu:
The Research of Sampling for Mining Frequent Itemsets. RSKT 2006: 496-501 - 2005
- [c1]Xuegang Hu, Yuhong Zhang, Xinya Wang:
The Representation and Resolution of Rough Sets Based on the Extended Concept Lattice. FSKD (1) 2005: 1309-1312
Coauthor Index
aka: Gongqing Wu
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