Xuegang Hu
Orcid: 0000-0001-5421-6171
According to our database1,
Xuegang Hu authored at least 209 papers
between 2005 and 2026.
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Bibliography
2026
Pattern Recognit., 2026
Pattern Recognit., 2026
Knowl. Based Syst., 2026
Expert Syst. J. Knowl. Eng., 2026
2025
Semi-Supervised Short Text Stream Classification Based on Drift-Aware Incremental Deep Learning.
IEEE Trans. Knowl. Data Eng., November, 2025
A Cognitive Diagnosis Model With Nonlinear Dependence Between Students and Exercises.
IEEE Trans. Comput. Soc. Syst., October, 2025
Multi-granularity decision information integration network for hierarchical classification via local and global constraints.
Appl. Intell., July, 2025
IEEE Trans. Big Data, June, 2025
Pattern Recognit., 2025
Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization.
J. Imaging Inform. Medicine, 2025
A Plug-in for cognitive diagnosis method based on correlation representation under long-tailed distribution.
Expert Syst. Appl., 2025
2024
Lightweight multi-scale generative adversarial network with attention for image denoising.
Multim. Syst., October, 2024
ACM Trans. Inf. Syst., September, 2024
Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification.
Appl. Intell., September, 2024
Multi-scale information fusion generative adversarial network for real-world noisy image denoising.
Mach. Vis. Appl., July, 2024
EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation.
J. Real Time Image Process., April, 2024
IEEE Trans. Artif. Intell., March, 2024
LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes.
Pattern Anal. Appl., March, 2024
ACM Trans. Intell. Syst. Technol., February, 2024
Gradient-based multi-label feature selection considering three-way variable interaction.
Pattern Recognit., January, 2024
Learning shared and non-redundant label-specific features for partial multi-label classification.
Inf. Sci., January, 2024
A Fast Attention-Guided Hierarchical Decoding Network for Real-Time Semantic Segmentation.
Sensors, 2024
Pattern Recognit., 2024
J. Electronic Imaging, 2024
Data Intell., 2024
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.
Artif. Intell. Medicine, 2024
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Lightweight multi-scale attention-guided network for real-time semantic segmentation.
Image Vis. Comput., November, 2023
LBARNet: Lightweight bilateral asymmetric residual network for real-time semantic segmentation.
Comput. Graph., November, 2023
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection.
IEEE Trans. Knowl. Data Eng., August, 2023
Expert Syst. Appl., July, 2023
ACM Trans. Knowl. Discov. Data, June, 2023
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
IEEE Trans. Big Data, February, 2023
Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules.
IEEE Internet Things J., January, 2023
Lightweight attention-guided redundancy-reuse network for real-time semantic segmentation.
IET Image Process., 2023
Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the IEEE International Conference on Knowledge Graph, 2023
2022
Pattern Recognit., 2022
Learning common and label-specific features for multi-Label classification with correlation information.
Pattern Recognit., 2022
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification.
Knowl. Based Syst., 2022
Combining context-relevant features with multi-stage attention network for short text classification.
Comput. Speech Lang., 2022
LARFNet: Lightweight asymmetric refining fusion network for real-time semantic segmentation.
Comput. Graph., 2022
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier.
BMC Bioinform., 2022
Appl. Intell., 2022
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2022
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
A lightweight network with multi-scale information interaction attention for real-time semantic segmentation.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022
Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Proceedings of the Database Systems for Advanced Applications, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
2021
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data.
New Gener. Comput., 2021
Semi-supervised classification on data streams with recurring concept drift and concept evolution.
Knowl. Based Syst., 2021
Knowl. Based Syst., 2021
Neurocomputing, 2021
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings.
Appl. Intell., 2021
IEEE Access, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021
2020
Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings.
Pattern Recognit. Lett., 2020
Knowl. Based Syst., 2020
Expert Syst. Appl., 2020
IEEE Access, 2020
IEEE Access, 2020
LDPNet: A Lightweight Densely Connected Pyramid Network for Real-Time Semantic Segmentation.
IEEE Access, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
2019
Pattern Recognit., 2019
Int. J. Mach. Learn. Cybern., 2019
Inf. Sci., 2019
Neurocomputing, 2019
Entropy, 2019
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.
IEEE Access, 2019
Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification.
IEEE Access, 2019
Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2019
The ℓ<sub>2</sub>,1-Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the International Conference on Artificial Intelligence, 2019
2018
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection.
Pattern Recognit. Lett., 2018
Pattern Anal. Appl., 2018
Knowl. Based Syst., 2018
Simultaneous perturbation stochastic approximation-based radio occultation data assimilation for sensing atmospheric parameters.
Int. J. Distributed Sens. Networks, 2018
Frontiers Comput. Sci., 2018
Global asymptotic stability of steady states in a chemotaxis-growth system with singular sensitivity.
Comput. Math. Appl., 2018
Dead-core rate for the fast diffusion equation with strong absorption in higher dimensional cases.
Appl. Math. Comput., 2018
IEEE Access, 2018
Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
2017
Knowl. Based Syst., 2017
Boundedness in a chemotaxis model with exponentially decaying diffusivity and consumption of chemoattractant.
Comput. Math. Appl., 2017
Proceedings of the Rough Sets - International Joint Conference, 2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
2016
Frontiers Inf. Technol. Electron. Eng., 2016
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, 2016
Visual Processing by a Unified Schatten-p Norm and ℓ<sub>q</sub> Norm Regularized Principal Component Pursuit.
CoRR, 2016
Comput. Math. Appl., 2016
Proceedings of the Web-Age Information Management - 17th International Conference, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
IEEE Trans. Knowl. Data Eng., 2015
Cross-domain sentiment classification-feature divergence, polarity divergence or both?
Pattern Recognit. Lett., 2015
Visual data denoising with a unified Schatten-p norm and ℓ<sub>q</sub> norm regularized principal component pursuit.
Pattern Recognit., 2015
Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification.
Knowl. Based Syst., 2015
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, 2015
Neurocomputing, 2015
2014
IEEE Trans. Cybern., 2014
Knowl. Based Syst., 2014
J. Comput., 2014
Image Denoising with a Unified Schattern-p Norm and ℓ<sub>q</sub> Norm Regularization.
CoRR, 2014
Ensemble learning from multiple information sources via label propagation and consensus.
Appl. Intell., 2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Extremal optimization-based semi-supervised algorithm with conflict pairwise constraints for community detection.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph.
Appl. Intell., 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Proceedings of the Brain and Health Informatics - International Conference, 2013
Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
ACM Trans. Intell. Syst. Technol., 2012
An Ensemble Method Based on Confidence Probability for Multi-domain Sentiment Classification.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012
Proceedings of the 13th ACM/IEEE International Conference on Grid Computing, 2012
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012
A Multi-domain Adaptation for sentiment classification algorithm based on Class Distribution.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012
Proceedings of the Seventh ChinaGrid Annual Conference, ChinaGrid 2012, Beijing, 2012
2011
Cybern. Syst., 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the Fourth International Symposium on Parallel Architectures, 2011
Proceedings of the ICIMCS 2011, 2011
Proceedings of the ICIMCS 2011, 2011
Proceedings of the Bio-Inspired Computing and Applications, 2011
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011
2010
Appl. Artif. Intell., 2010
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010
2009
Proceedings of the Rough Sets, 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009
A relation extraction method of Chinese named entities based on location and semantic features.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009
2008
Proceedings of the Intelligence and Security Informatics, 2008
Proceedings of the Intelligence and Security Informatics, 2008
Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
The Research on Application of Granular Transform in Classification based on Domain Knowledge.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008
2007
J. Comput. Sci. Technol., 2007
Proceedings of the Rough Sets, 2007
Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
2006
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
2005
The Representation and Resolution of Rough Sets Based on the Extended Concept Lattice.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005