Xuegang Hu

Orcid: 0000-0001-5421-6171

According to our database1, Xuegang Hu authored at least 209 papers between 2005 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Online multi-label classification under noisy and changing label distribution.
Pattern Recognit., 2026

Dual-module collaborative learning for open-set recognition with noisy labels.
Pattern Recognit., 2026

Unified online weak multi-Label learning in drifting and imbalanced data streams.
Knowl. Based Syst., 2026

Label-Aware Augmentation for Long-Tailed Cross-Network Node Classification.
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

Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels.
IEEE Trans. Big Data, June, 2025

Entity alignment in noisy knowledge graph.
Appl. Intell., January, 2025

Hypergraph representation learning for identifying circRNA-disease associations.
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

FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning.
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

Multicomponent Similarity Graphs for Cross-Network Node Classification.
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

Second-order Confidence Network for Early Classification of Time Series.
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

A cross-network node classification method in open-set scenario.
Pattern Recognit., 2024

Zero-shot learning with visual-semantic mutual reinforcement for image recognition.
J. Electronic Imaging, 2024

Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation.
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

Meta-path based graph contrastive learning for micro-video recommendation.
Expert Syst. Appl., July, 2023

Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding.
ACM Trans. Knowl. Discov. Data, June, 2023

Cognitive Diagnostic Model Made More Practical by Genetic Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification.
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

Meta Multi-agent Exercise Recommendation: A Game Application Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-source Multi-label Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2023

Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation.
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

Online Multi-Label Classification with Scalable Margin Robust to Missing Labels.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

2022
Fuzzy Bayesian Knowledge Tracing.
IEEE Trans. Fuzzy Syst., 2022

Representation learning with deep sparse auto-encoder for multi-task learning.
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

Joint pyramid attention network for real-time semantic segmentation of urban scenes.
Appl. Intell., 2022

Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Multi-modal Component Representation for Multi-source Domain Adaptation Method.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

PU Matrix Completion Based Multi-label Classification with Missing Labels.
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

Multi-Label Learning with Missing Labels via Common and Label-Specific Features.
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

A Zero-shot Learning Method with a Multi-Modal Knowledge Graph.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Structure Similarity Graph for Cross-Network Node Classification.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Multi-label Learning with Data Self-augmentation.
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

Dual Confidence Learning Network for Open-World Time Series Classification.
Proceedings of the Database Systems for Advanced Applications, 2022

A Baseline for Early Classification of Time Series in An Open World.
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

Cognitive structure learning model for hierarchical multi-label text classification.
Knowl. Based Syst., 2021

Attentive interaction-driven entity resolution over multi-source web information.
Neurocomputing, 2021

Adversarial training with Wasserstein distance for learning cross-lingual word embeddings.
Appl. Intell., 2021

Lightweight Asymmetric Dilation Network for Real-Time Semantic Segmentation.
IEEE Access, 2021

Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Label Learning with Missing Features.
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

Semi-supervised representation learning via dual autoencoders for domain adaptation.
Knowl. Based Syst., 2020

DRU-net: a novel U-net for biomedical image segmentation.
IET Image Process., 2020

Representation learning via serial robust autoencoder for domain adaptation.
Expert Syst. Appl., 2020

A Survey on Multi-Label Data Stream Classification.
IEEE Access, 2020

Corrections to "An Effective Confidence-Based Early Classification of Time Series".
IEEE Access, 2020

Efficient Fast Semantic Segmentation Using Continuous Shuffle Dilated Convolutions.
IEEE Access, 2020

LDPNet: A Lightweight Densely Connected Pyramid Network for Real-Time Semantic Segmentation.
IEEE Access, 2020

Adaptive domain of dynamic distribution based on manifold space.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Dynamically Jointing character and word embedding for Chinese text Classification.
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
OFS-Density: A novel online streaming feature selection method.
Pattern Recognit., 2019

An efficient and fast algorithm for community detection based on node role analysis.
Int. J. Mach. Learn. Cybern., 2019

Online streaming feature selection using adapted Neighborhood Rough Set.
Inf. Sci., 2019

Transfer learning with deep manifold regularized auto-encoders.
Neurocomputing, 2019

Representation learning via serial autoencoders for domain adaptation.
Neurocomputing, 2019

Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree.
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

An Effective Confidence-Based Early Classification of Time Series.
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

Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training.
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

A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Appraisal expression extraction based on semantic and dependency parsing.
Proceedings of the International Conference on Artificial Intelligence, 2019

2018
Learning From Short Text Streams With Topic Drifts.
IEEE Trans. Cybern., 2018

Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection.
Pattern Recognit. Lett., 2018

Co-occurrence pattern mining based on a biological approximation scoring matrix.
Pattern Anal. Appl., 2018

Transfer learning with stacked reconstruction independent component analysis.
Knowl. Based Syst., 2018

Simultaneous perturbation stochastic approximation-based radio occultation data assimilation for sensing atmospheric parameters.
Int. J. Distributed Sens. Networks, 2018

A survey on online feature selection with streaming features.
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

Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base.
IEEE Access, 2018

An Online Transfer Learning Algorithm with Adaptive Cost.
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

Multi-target Core Network-Based Networked Multi-label Classification.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Chinese Entity Relation Extraction Based on Syntactic Features.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Online feature selection for high-dimensional class-imbalanced data.
Knowl. Based Syst., 2017

Three-layer concept drifting detection in text data streams.
Neurocomputing, 2017

Boundedness in a chemotaxis model with exponentially decaying diffusivity and consumption of chemoattractant.
Comput. Math. Appl., 2017

Three-Way Dicision Community Detection Algorithm Based on Local Group Information.
Proceedings of the Rough Sets - International Joint Conference, 2017

A New Online Feature Selection Method Using Neighborhood Rough Set.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Synonymous Entity Recognition Based on Feature Fusion.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016
Multi-bridge transfer learning.
Knowl. Based Syst., 2016

A social tag clustering method based on common co-occurrence group similarity.
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

Domain adaptation via Multi-Layer Transfer Learning.
Neurocomputing, 2016

Visual Processing by a Unified Schatten-p Norm and ℓ<sub>q</sub> Norm Regularized Principal Component Pursuit.
CoRR, 2016

Role-based Label Propagation Algorithm for Community Detection.
CoRR, 2016

Boundedness in the higher dimensional attraction-repulsion chemotaxis-growth system.
Comput. Math. Appl., 2016

A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Concept Based Short Text Stream Classification with Topic Drifting Detection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Frequent Pattern Mining Based on Approximate Edit Distance Matrix.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Max-Flow Rate Priority Algorithm for Evacuation Route Planning.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015
Online Feature Selection with Group Structure Analysis.
IEEE Trans. Knowl. Data Eng., 2015

A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity.
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

Learning concept-drifting data streams with random ensemble decision trees.
Neurocomputing, 2015

An Incremental Decision Tree for Mining Multilabel Data.
Appl. Artif. Intell., 2015

2014
Robust Face Recognition via Adaptive Sparse Representation.
IEEE Trans. Cybern., 2014

A Matching Algorithm in PMWL based on CluTree.
New Gener. Comput., 2014

Knowledge reduction for decision tables with attribute value taxonomies.
Knowl. Based Syst., 2014

A Novel Variational Model with Strict Convexity for Multiplicative Noise Removal.
J. Comput., 2014

Quality of information-based source assessment and selection.
Neurocomputing, 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

Searching for Recent Celebrity Images in Microblog Platform.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE.
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
Anonymizing classification data using rough set theory.
Knowl. Based Syst., 2013

A Parallel Clustering Algorithm with MPI - MKmeans.
J. Comput., 2013

MAIL: mining sequential patterns with wildcards.
Int. J. Data Min. Bioinform., 2013

Mining stable patterns in multiple correlated databases.
Decis. Support Syst., 2013

Multi-level rough set reduction for decision rule mining.
Appl. Intell., 2013

Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph.
Appl. Intell., 2013

Online Group Feature Selection.
Proceedings of the IJCAI 2013, 2013

Flexible Pattern Matching with Gap-Length and One-Off Conditions.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Web news extraction via path ratios.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Online Learning towards Big Data Analysis in Health Informatics.
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
Mining Recurring Concept Drifts with Limited Labeled Streaming Data.
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

A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services.
Proceedings of the 13th ACM/IEEE International Conference on Grid Computing, 2012

Pattern matching with wildcards based on multiple suffix trees.
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

A Heuristic Algorithm for Scheduling on Grid Computing Environment.
Proceedings of the Seventh ChinaGrid Annual Conference, ChinaGrid 2012, Beijing, 2012

2011
A Bit-Parallel Algorithm for Sequential Pattern Matching with Wildcards.
Cybern. Syst., 2011

Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

A Parallel K-Means Clustering Algorithm with MPI.
Proceedings of the Fourth International Symposium on Parallel Architectures, 2011

Hierarchical user interest modeling for Chinese web pages.
Proceedings of the ICIMCS 2011, 2011

Keyword extraction based on sequential pattern mining.
Proceedings of the ICIMCS 2011, 2011

An Efficient Ensemble Method for Classifying Skewed Data Streams.
Proceedings of the Bio-Inspired Computing and Applications, 2011

K-Means Clustering with Bagging and MapReduce.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

2010
News Filtering and Summarization on the Web.
IEEE Intell. Syst., 2010

A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams.
Appl. Artif. Intell., 2010

Privacy preserving attribute reduction for horizontally partitioned data.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

Sequential Pattern Mining with Wildcards.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Pattern Matching with Flexible Wildcards and Recurring Characters.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A New Automatic Categorization Algorithm for Web Services.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A weighted algorithm of inductive transfer learning based on maximum entropy model.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A classification algorithm for noisy data streams.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A 2-Tier Clustering Algorithm with Map-Reduce.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010

Logistic Regression for Transductive Transfer Learning from Multiple Sources.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Learning from Concept Drifting Data Streams with Unlabeled Data.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Keyphrase extraction based on semantic relatedness.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
BPBM: An Algorithm for String Matching with Wildcards and Length Constraints.
Proceedings of the Rough Sets, 2009

Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data.
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

Pattern Matching with Wildcards based on Key Character Location.
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

Mining Frequent Patterns with Gaps and One-Off Condition.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

MReC4.5: C4.5 Ensemble Classification with MapReduce.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009

2008
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets, 2008

Automatic Recognition of News Web Pages.
Proceedings of the Intelligence and Security Informatics, 2008

Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations.
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

Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams.
J. Comput. Sci. Technol., 2007

A New Algorithm for Attribute Reduction in Decision Tables.
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

Varying Density Spatial Clustering Based on a Hierarchical Tree.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

A Parallel Algorithm to Construct Concept Lattice.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Mining Frequent Itemsets Using a Pruned Concept Lattice.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
The Research of Sampling for Mining Frequent Itemsets.
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


  Loading...