Tianrui Li

Orcid: 0000-0001-7780-104X

Affiliations:
  • Southwest Jiaotong University, School of Information Science and Technology


According to our database1, Tianrui Li authored at least 595 papers between 2003 and 2024.

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Bibliography

2024
T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning.
ACM Trans. Intell. Syst. Technol., April, 2024

Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space.
Inf. Fusion, April, 2024

Clustering-based multi-featured self-supervised learning for human activities and video retrieval.
Appl. Intell., April, 2024

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Geodesic Fuzzy Rough Sets for Discriminant Feature Extraction.
IEEE Trans. Fuzzy Syst., March, 2024

Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection.
Inf. Fusion, March, 2024

Few-shot ICD coding with knowledge transfer and evidence representation.
Expert Syst. Appl., March, 2024

An effective relation-first detection model for relational triple extraction.
Expert Syst. Appl., March, 2024

A Multisource Data Fusion-based Heterogeneous Graph Attention Network for Competitor Prediction.
ACM Trans. Knowl. Discov. Data, February, 2024

Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach.
Int. J. Mach. Learn. Cybern., February, 2024

Feature selection based on probability and mathematical expectation.
Int. J. Mach. Learn. Cybern., February, 2024

A cooperative approach to efficient global optimization.
J. Glob. Optim., February, 2024

Noise-aware and correlation analysis-based for fuzzy-rough feature selection.
Inf. Sci., February, 2024

Fast Multi-view Subspace Clustering with Balance Anchors Guidance.
Pattern Recognit., January, 2024

Joint subspace reconstruction and label correlation for multi-label feature selection.
Appl. Intell., January, 2024

Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures.
Pattern Recognit., 2024

Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection.
Pattern Recognit., 2024

Multi-view clustering via pseudo-label guide learning and latent graph structure recovery.
Pattern Recognit., 2024

A Dynamic Multi-modal deep Reinforcement Learning framework for 3D Bin Packing Problem.
Knowl. Based Syst., 2024

CiteNet: Cross-modal incongruity perception network for multimodal sentiment prediction.
Knowl. Based Syst., 2024

DeepWind: a heterogeneous spatio-temporal model for wind forecasting.
Knowl. Based Syst., 2024

Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence.
Knowl. Based Syst., 2024

Adaptive label secondary reconstruction for missing multi-label learning.
Knowl. Based Syst., 2024

Multi-label Feature selection with adaptive graph learning and label information enhancement.
Knowl. Based Syst., 2024

HA-GCEN: Hyperedge-abundant graph convolutional enhanced network for hate speech detection.
Knowl. Based Syst., 2024

Unsupervised feature selection with high-order similarity learning.
Knowl. Based Syst., 2024

Information bottleneck fusion for deep multi-view clustering.
Knowl. Based Syst., 2024

Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting.
Knowl. Based Syst., 2024

Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach.
Knowl. Based Syst., 2024

FedGODE: Secure traffic flow prediction based on federated learning and graph ordinary differential equation networks.
Knowl. Based Syst., 2024

Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness.
Inf. Sci., 2024

Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA.
Inf. Sci., 2024

Taking another step: A simple approach to high-dimensional Bayesian optimization.
Inf. Sci., 2024

FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network.
Inf. Sci., 2024

Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning.
Inf. Process. Manag., 2024

A multi-scale information fusion-based multiple correlations for unsupervised attribute selection.
Inf. Fusion, 2024

A survey of route recommendations: Methods, applications, and opportunities.
Inf. Fusion, 2024

KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting.
Inf. Fusion, 2024

Transformer-based vision-language alignment for robot navigation and question answering.
Inf. Fusion, 2024

Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration.
Expert Syst. Appl., 2024

LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.
Eng. Appl. Artif. Intell., 2024

TDT Loss Takes It All: Integrating Temporal Dependencies among Targets into Non-Autoregressive Time Series Forecasting.
CoRR, 2024

A Timely Survey on Vision Transformer for Deepfake Detection.
CoRR, 2024

FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer.
CoRR, 2024

Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms.
CoRR, 2024

Continual Learning for Smart City: A Survey.
CoRR, 2024

Open Continual Feature Selection via Granular-Ball Knowledge Transfer.
CoRR, 2024

Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question Answering.
CoRR, 2024

A Survey of Route Recommendations: Methods, Applications, and Opportunities.
CoRR, 2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
CoRR, 2024

Hi-Core: Hierarchical Knowledge Transfer for Continual Reinforcement Learning.
CoRR, 2024

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data.
CoRR, 2024

MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection.
Appl. Intell., 2024

Learning to Prompt Knowledge Transfer for Open-World Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction.
IEEE Trans. Fuzzy Syst., December, 2023

Pyramidal temporal frame prediction for efficient anomalous event detection in smart surveillance systems.
Knowl. Based Syst., December, 2023

Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection.
Knowl. Based Syst., December, 2023

Fast attribute reduction via inconsistent equivalence classes for large-scale data.
Int. J. Approx. Reason., December, 2023

Enhancing diversity and robustness of clustering ensemble via reliability weighted measure.
Appl. Intell., December, 2023

Active Antinoise Fuzzy Dominance Rough Feature Selection Using Adaptive K-Nearest Neighbors.
IEEE Trans. Fuzzy Syst., November, 2023

High-order interaction feature selection for classification learning: A robust knowledge metric perspective.
Pattern Recognit., November, 2023

Auto-attention mechanism for multi-view deep embedding clustering.
Pattern Recognit., November, 2023

Multi-label feature selection based on stable label relevance and label-specific features.
Inf. Sci., November, 2023

HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting.
Inf. Sci., November, 2023

A multi-view clustering algorithm based on deep semi-NMF.
Inf. Fusion, November, 2023

A missing value filling model based on feature fusion enhanced autoencoder.
Appl. Intell., November, 2023

Improving rating predictions with time-varying attention and dual-optimizer.
Appl. Intell., November, 2023

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction.
IEEE Trans. Knowl. Data Eng., October, 2023

C<sup>2</sup>IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., October, 2023

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy.
IEEE Trans. Fuzzy Syst., October, 2023

Dynamic graph-based attribute reduction approach with fuzzy rough sets.
Int. J. Mach. Learn. Cybern., October, 2023

learning anomalous human actions using frames of interest and decoderless deep embedded clustering.
Int. J. Mach. Learn. Cybern., October, 2023

Fuzzy rough dimensionality reduction: A feature set partition-based approach.
Inf. Sci., October, 2023

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity.
Appl. Soft Comput., October, 2023

Robust multi-view clustering in latent low-rank space with discrepancy induction.
Appl. Intell., October, 2023

Multi-view subspace clustering for learning joint representation via low-rank sparse representation.
Appl. Intell., October, 2023

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures.
IEEE Trans. Fuzzy Syst., September, 2023

Multiscale Fuzzy Entropy-Based Feature Selection.
IEEE Trans. Fuzzy Syst., September, 2023

Text semantic matching with an enhanced sample building method based on contrastive learning.
Int. J. Mach. Learn. Cybern., September, 2023

Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning.
Int. J. Mach. Learn. Cybern., September, 2023

SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection.
Inf. Sci., September, 2023

Long sequence time-series forecasting with deep learning: A survey.
Inf. Fusion, September, 2023

Incremental unsupervised feature selection for dynamic incomplete multi-view data.
Inf. Fusion, August, 2023

Multi-view clustering for multiple manifold learning via concept factorization.
Digit. Signal Process., August, 2023

Fast Flexible Bipartite Graph Model for Co-Clustering.
IEEE Trans. Knowl. Data Eng., July, 2023

A contrastive learning based universal representation for time series forecasting.
Inf. Sci., July, 2023

Robust multi-label feature selection with shared coupled and dynamic graph regularization.
Appl. Intell., July, 2023

RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection.
IEEE Trans. Parallel Distributed Syst., June, 2023

FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning.
IEEE Trans. Big Data, June, 2023

Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Robust feature selection using label enhancement and <i>β</i>-precision fuzzy rough sets for multilabel fuzzy decision system.
Fuzzy Sets Syst., June, 2023

Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement.
Appl. Intell., June, 2023

Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

A Review on Deep Neural Networks for ICD Coding.
IEEE Trans. Knowl. Data Eng., May, 2023

Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023

Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data.
IEEE Trans. Fuzzy Syst., May, 2023

Linear dimensionality reduction method based on topological properties.
Inf. Sci., May, 2023

Incomplete multi-view clustering via kernelized graph learning.
Inf. Sci., May, 2023

A multi-source information fusion model for outlier detection.
Inf. Fusion, May, 2023

Fuzzy-rough hybrid dimensionality reduction.
Fuzzy Sets Syst., May, 2023

Multi-view latent structure learning with rank recovery.
Appl. Intell., May, 2023

Semi-supervised feature selection based on pairwise constraint-guided dual space latent representation learning and double sparse graphs discriminant.
Appl. Intell., May, 2023

FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework.
IEEE Trans. Knowl. Data Eng., April, 2023

Multi-view clustering guided by unconstrained non-negative matrix factorization.
Knowl. Based Syst., April, 2023

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection.
Inf. Sci., April, 2023

Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion.
Inf. Fusion, April, 2023

Spark Rough Hypercuboid Approach for Scalable Feature Selection.
IEEE Trans. Knowl. Data Eng., March, 2023

Multi-objective genetic model for co-clustering ensemble.
Appl. Soft Comput., March, 2023

Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder.
ACM Trans. Intell. Syst. Technol., February, 2023

A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering.
IEEE Trans. Big Data, February, 2023

Modeling multi-regional temporal correlation with gated recurrent unit and multiple linear regression for urban traffic flow prediction.
Knowl. Based Syst., February, 2023

Social Relationship Link Inference Based on Graph Convolutional Networks.
Hum. Centric Intell. Syst., February, 2023

A review of scientific impact prediction: tasks, features and methods.
Scientometrics, January, 2023

Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng., 2023

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization.
ACM Trans. Knowl. Discov. Data, 2023

LAWNet: A Lightweight Attention-Based Deep Learning Model for Wrist Vein Verification in Smartphones Using RGB Images.
IEEE Trans. Instrum. Meas., 2023

Hierarchical Active Learning With Qualitative Feedback on Regions.
IEEE Trans. Hum. Mach. Syst., 2023

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space.
IEEE Trans. Fuzzy Syst., 2023

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.
IEEE Trans. Cybern., 2023

Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering.
IEEE Trans. Comput. Soc. Syst., 2023

Housing rental suggestion based on e-commerce data.
Knowl. Based Syst., 2023

Federated learning in smart cities: Privacy and security survey.
Inf. Sci., 2023

Image inpainting based on deep learning: A review.
Inf. Fusion, 2023

Multi-granularity sequential three-way recommendation based on collaborative deep learning.
Int. J. Approx. Reason., 2023

A review of sequential three-way decision and multi-granularity learning.
Int. J. Approx. Reason., 2023

MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark.
Expert Syst. Appl., 2023

Federated Continual Learning via Knowledge Fusion: A Survey.
CoRR, 2023

Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting.
CoRR, 2023

A Pre-trained Data Deduplication Model based on Active Learning.
CoRR, 2023

Hi-ResNet: A High-Resolution Remote Sensing Network for Semantic Segmentation.
CoRR, 2023

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training.
CoRR, 2023

A robust graph based multi-label feature selection considering feature-label dependency.
Appl. Intell., 2023

An effective multi-task learning model for end-to-end emotion-cause pair extraction.
Appl. Intell., 2023

Granular-Ball Three-Way Decision.
Proceedings of the Rough Sets - International Joint Conference, 2023

SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

A Parted-based Method for Unsupervised Visible-Infrared Re-identification.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Urban Traffic Flow Prediction Based on Regional Spatial-Temporal Correlation with Dual Attention.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Gaussian Function Representation of 2nd-Order Normal Cloud Model.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Content-Based Video Clustering Using Hybrid Multi -View Spatio- Temporal Feature Learning.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

A Multi-task Bearing Fault Diagnosis Method Based on Multi-scale Residual CNN with Dual Attention.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Multi-Modal Deep Learning Architecture for Accurate Driver Behavior Recognition in Automated Driving Systems.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation.
Proceedings of the International Conference on Machine Learning, 2023

Boosting Single Image Super-Resolution via Partial Channel Shifting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Large Kernel Distillation Network for Efficient Single Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Novel Online Multi-label Feature Selection Approach for Multi-dimensional Streaming Data.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022
Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation.
Hum. Centric Intell. Syst., June, 2022

Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach.
IEEE Trans. Knowl. Data Eng., 2022

Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM.
IEEE Trans. Knowl. Data Eng., 2022

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Syst., 2022

Hierarchical Fuzzy Rough Approximations With Three-Way Multigranularity Learning.
IEEE Trans. Fuzzy Syst., 2022

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification.
IEEE Trans. Fuzzy Syst., 2022

Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets.
IEEE Trans. Fuzzy Syst., 2022

Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set.
IEEE Trans. Fuzzy Syst., 2022

Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data.
IEEE Trans. Cybern., 2022

Predicting Fine-Grained Air Quality Based on Deep Neural Networks.
IEEE Trans. Big Data, 2022

Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data.
Pattern Recognit., 2022

R2CI: Information theoretic-guided feature selection with multiple correlations.
Pattern Recognit., 2022

Seasonal decomposition and combination model for short-term forecasting of subway ridership.
Int. J. Mach. Learn. Cybern., 2022

Multi-view low rank sparse representation method for three-way clustering.
Int. J. Mach. Learn. Cybern., 2022

Multi-view data clustering via non-negative matrix factorization with manifold regularization.
Int. J. Mach. Learn. Cybern., 2022

Hybrid two-stream dynamic CNN for view adaptive human action recognition using ensemble learning.
Int. J. Mach. Learn. Cybern., 2022

Consistency regularization for deep semi-supervised clustering with pairwise constraints.
Int. J. Mach. Learn. Cybern., 2022

BUS-net: a bimodal ultrasound network for breast cancer diagnosis.
Int. J. Mach. Learn. Cybern., 2022

Multi-view document clustering based on geometrical similarity measurement.
Int. J. Mach. Learn. Cybern., 2022

A framework for belief revision under restrictions.
Knowl. Eng. Rev., 2022

Single MR image super-resolution via channel splitting and serial fusion network.
Knowl. Based Syst., 2022

A noise-aware fuzzy rough set approach for feature selection.
Knowl. Based Syst., 2022

Mixed data-driven sequential three-way decision via subjective-objective dynamic fusion.
Knowl. Based Syst., 2022

Markov clustering ensemble.
Knowl. Based Syst., 2022

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification.
Knowl. Based Syst., 2022

Novel fuzzy rank discrimination measures for monotonic ordinal feature selection.
Knowl. Based Syst., 2022

Fusing entropy measures for dynamic feature selection in incomplete approximation spaces.
Knowl. Based Syst., 2022

Bilateral discriminative autoencoder model orienting co-representation learning.
Knowl. Based Syst., 2022

Deep linear graph attention model for attributed graph clustering.
Knowl. Based Syst., 2022

SybilFlyover: Heterogeneous graph-based fake account detection model on social networks.
Knowl. Based Syst., 2022

Unsupervised feature selection via self-paced learning and low-redundant regularization.
Knowl. Based Syst., 2022

Semi-supervised feature selection via adaptive structure learning and constrained graph learning.
Knowl. Based Syst., 2022

T-copula and Wasserstein distance-based stochastic neighbor embedding.
Knowl. Based Syst., 2022

Self-supervised representation learning for trip recommendation.
Knowl. Based Syst., 2022

Biased unconstrained non-negative matrix factorization for clustering.
Knowl. Based Syst., 2022

Multi-local Collaborative AutoEncoder.
Knowl. Based Syst., 2022

A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data.
Inf. Sci., 2022

Three-way multi-granularity learning towards open topic classification.
Inf. Sci., 2022

Temporal-spatial three-way granular computing for dynamic text sentiment classification.
Inf. Sci., 2022

Incremental rough reduction with stable attribute group.
Inf. Sci., 2022

Student-<i>t</i> kernelized fuzzy rough set model with fuzzy divergence for feature selection.
Inf. Sci., 2022

Dual graph-regularized sparse concept factorization for clustering.
Inf. Sci., 2022

A multi-step forecasting model of online car-hailing demand.
Inf. Sci., 2022

Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving.
Inf. Sci., 2022

Clustering based on local density peaks and graph cut.
Inf. Sci., 2022

Granular cabin: An efficient solution to neighborhood learning in big data.
Inf. Sci., 2022

Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection.
Inf. Sci., 2022

Adaptive graph learning for semi-supervised feature selection with redundancy minimization.
Inf. Sci., 2022

Fairness and accuracy in horizontal federated learning.
Inf. Sci., 2022

Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data.
Inf. Sci., 2022

Matrix representation of the conditional entropy for incremental feature selection on multi-source data.
Inf. Sci., 2022

Contextual spatio-temporal graph representation learning for reinforced human mobility mining.
Inf. Sci., 2022

Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy.
Inf. Sci., 2022

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.
Inf. Fusion, 2022

A novel hierarchical feature selection method based on large margin nearest neighbor learning.
Neurocomputing, 2022

Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization.
Neurocomputing, 2022

A quantile fusion methodology for deep forecasting.
Neurocomputing, 2022

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning.
Neurocomputing, 2022

Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection.
Neurocomputing, 2022

AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets.
Int. J. Approx. Reason., 2022

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization.
Int. J. Approx. Reason., 2022

C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection.
CoRR, 2022

DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting.
CoRR, 2022

A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting.
CoRR, 2022

Exploiting fuzzy rough mutual information for feature selection.
Appl. Soft Comput., 2022

Neighborhood rough set based ensemble feature selection with cross-class sample granulation.
Appl. Soft Comput., 2022

Multi-label feature selection based on manifold regularization and imbalance ratio.
Appl. Intell., 2022

A stable community detection approach for complex network based on density peak clustering and label propagation.
Appl. Intell., 2022

Feature selection via minimizing global redundancy for imbalanced data.
Appl. Intell., 2022

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2022

TraSS: Efficient Trajectory Similarity Search Based on Key-Value Data Stores.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Few-shot Learning with Attention Mechanism and Transfer Learning for Import and Export Commodities Classification.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

AM-DenseNet:A Novel DenseNet Framework using Attention Mechanisms for COVID-19 CT Image Classification.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

VQ-ViCNet: Strengthen Unique Features Comparison Autoencoder with Embedding Space for Covid-19 Image Classification.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework.
IEEE Trans. Knowl. Data Eng., 2021

Visual tracking with multilayer filter fusion network.
Multim. Tools Appl., 2021

Modification of the BWM and MABAC method for MAGDM based on q-rung orthopair fuzzy rough numbers.
Int. J. Mach. Learn. Cybern., 2021

Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint.
Knowl. Based Syst., 2021

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction.
Knowl. Based Syst., 2021

Hybrid genetic model for clustering ensemble.
Knowl. Based Syst., 2021

Neighborhood rough sets with distance metric learning for feature selection.
Knowl. Based Syst., 2021

A novel hybrid feature selection method considering feature interaction in neighborhood rough set.
Knowl. Based Syst., 2021

Incremental attribute reduction approaches for ordered data with time-evolving objects.
Knowl. Based Syst., 2021

Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set.
Knowl. Based Syst., 2021

Adaptive graph-based generalized regression model for unsupervised feature selection.
Knowl. Based Syst., 2021

Tri-regularized nonnegative matrix tri-factorization for co-clustering.
Knowl. Based Syst., 2021

Multi-view clustering via deep concept factorization.
Knowl. Based Syst., 2021

Distributional discrepancy: A metric for unconditional text generation.
Knowl. Based Syst., 2021

Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering.
Inf. Sci., 2021

Unsupervised attribute reduction for mixed data based on fuzzy rough sets.
Inf. Sci., 2021

Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations.
Inf. Sci., 2021

LaPOLeaF: Label propagation in an optimal leading forest.
Inf. Sci., 2021

Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints.
Inf. Sci., 2021

Double-local rough sets for efficient data mining.
Inf. Sci., 2021

Dynamic interaction feature selection based on fuzzy rough set.
Inf. Sci., 2021

Special issue on hybrid data and knowledge driven decision making under uncertainty (Hybrid DK for DM).
Inf. Sci., 2021

Multi-source information fusion based on rough set theory: A review.
Inf. Fusion, 2021

An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability.
Inf. Fusion, 2021

Deep embedding clustering based on contractive autoencoder.
Neurocomputing, 2021

Semi-Supervised Density Peaks Clustering Based on Constraint Projection.
Int. J. Comput. Intell. Syst., 2021

Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief.
Hum. Centric Intell. Syst., 2021

Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis.
Hum. Centric Intell. Syst., 2021

Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection.
Fuzzy Sets Syst., 2021

ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors.
CoRR, 2021

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval.
CoRR, 2021

A Robust Breast ultrasound segmentation method under noisy annotations.
Comput. Methods Programs Biomed., 2021

CMC: A consensus multi-view clustering model for predicting Alzheimer's disease progression.
Comput. Methods Programs Biomed., 2021

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions.
Appl. Soft Comput., 2021

Semi-supervised feature selection with minimal redundancy based on local adaptive.
Appl. Intell., 2021

Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data.
Proceedings of the Rough Sets - International Joint Conference, 2021

Hierarchical Feature Selection via Large Margin Nearest Neighbor.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

An Overlapping Community Detection Algorithm based on Density Peaks and Label Propagation.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

On Large-Scale Qualitative Spatio-Temporal Constraint Redundancy Removal.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

JUST-Traj: A Distributed and Holistic Trajectory Data Management System.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Locally Linear Embedding Discriminant Feature Learning Model.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
Real-Time Ambulance Redeployment: A Data-Driven Approach.
IEEE Trans. Knowl. Data Eng., 2020

Three-way decisions: beyond rough sets and granular computing.
Int. J. Mach. Learn. Cybern., 2020

Compact geometric representation of qualitative directional knowledge.
Knowl. Based Syst., 2020

Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning.
Knowl. Based Syst., 2020

Dynamic dominance rough set approach for processing composite ordered data.
Knowl. Based Syst., 2020

SMOTEFRIS-INFFC: Handling the challenge of borderline and noisy examples in imbalanced learning for software defect prediction.
J. Intell. Fuzzy Syst., 2020

Local temporal-spatial multi-granularity learning for sequential three-way granular computing.
Inf. Sci., 2020

A multilevel neighborhood sequential decision approach of three-way granular computing.
Inf. Sci., 2020

A novel approach for efficient updating approximations in dynamic ordered information systems.
Inf. Sci., 2020

Incremental approaches for heterogeneous feature selection in dynamic ordered data.
Inf. Sci., 2020

Dynamic maintenance of rough approximations in multi-source hybrid information systems.
Inf. Sci., 2020

Incremental three-way neighborhood approach for dynamic incomplete hybrid data.
Inf. Sci., 2020

Urban flow prediction from spatiotemporal data using machine learning: A survey.
Inf. Fusion, 2020

Predicting and ranking box office revenue of movies based on big data.
Inf. Fusion, 2020

Urban big data fusion based on deep learning: An overview.
Inf. Fusion, 2020

DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting.
Neurocomputing, 2020

Multivariate time series forecasting via attention-based encoder-decoder framework.
Neurocomputing, 2020

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.
Int. J. Comput. Intell. Syst., 2020

A novel quantum grasshopper optimization algorithm for feature selection.
Int. J. Approx. Reason., 2020

A novel feature selection method based on maximum likelihood logistic regression for imbalanced learning in software defect prediction.
Int. Arab J. Inf. Technol., 2020

A review on crowd simulation and modeling.
Graph. Model., 2020

Condition Analysis of a High-Speed Train Based on Similarity Ratio and MDBN.
Comput. Sci. Eng., 2020

Fairness and Accuracy in Federated Learning.
CoRR, 2020

ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition.
CoRR, 2020

Efficient Suspected Infected Crowds Detection Based on Spatio-Temporal Trajectories.
CoRR, 2020

Minor Constraint Disturbances for Deep Semi-supervised Learning.
CoRR, 2020

UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.
CoRR, 2020

A Discriminative Multi-Channel Facial Shape (MCFS) Representation and Feature Extraction for 3D Human Faces.
Comput. Graph. Forum, 2020

An integrated approach towards modeling ranked weights.
Comput. Ind. Eng., 2020

Food package suggestion system based on multi-objective optimization: A case study on a real-world restaurant.
Appl. Soft Comput., 2020

A novel community detection method based on whale optimization algorithm with evolutionary population.
Appl. Intell., 2020

MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Bayes-enhanced Lifelong Attention Networks for Sentiment Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Reconstruction of Hidden Representation for Robust Feature Extraction.
ACM Trans. Intell. Syst. Technol., 2019

Contrast in Haze Removal: Configurable Contrast Enhancement Model Based on Dark Channel Prior.
IEEE Trans. Image Process., 2019

Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints.
IEEE Trans. Cybern., 2019

Particle Subswarms Collaborative Clustering.
IEEE Trans. Comput. Soc. Syst., 2019

Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Robust Exponential Stabilization for Switched Neutral Neural Networks with Mixed Time-Varying Delays.
Neural Process. Lett., 2019

A Novel Hybrid Approach Based on Rough Set for Classification: An Empirical Comparative Study.
J. Multiple Valued Log. Soft Comput., 2019

Social web video clustering based on multi-view clustering via nonnegative matrix factorization.
Int. J. Mach. Learn. Cybern., 2019

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.
Knowl. Based Syst., 2019

A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE.
Knowl. Based Syst., 2019

Nonnegative matrix factorization for clustering ensemble based on dark knowledge.
Knowl. Based Syst., 2019

Efficient composing rough approximations for distributed data.
Knowl. Based Syst., 2019

Self-paced and soft-weighted nonnegative matrix factorization for data representation.
Knowl. Based Syst., 2019

基于区间分类的螺旋图可视化边绑定方法 (Edge Bundling Method of Spiral Graph Based on Interval Classification).
计算机科学, 2019

面向评论文本数据的旭日图可视化 (Sunburst Visualization for Comment Text Data).
计算机科学, 2019

网络维数: 一种度量复杂网络的新方法 (Network Dimension: A New Measure for Complex Networks).
计算机科学, 2019

A factor graph model for unsupervised feature selection.
Inf. Sci., 2019

Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems.
Inf. Sci., 2019

Updating three-way decisions in incomplete multi-scale information systems.
Inf. Sci., 2019

Linear discriminant analysis guided by unsupervised ensemble learning.
Inf. Sci., 2019

Feature selection for imbalanced data based on neighborhood rough sets.
Inf. Sci., 2019

A temporal-spatial composite sequential approach of three-way granular computing.
Inf. Sci., 2019

A Deep Reinforcement Learning-Enabled Dynamic Redeployment System for Mobile Ambulances.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Social web video clustering based on multi-modal and clustering ensemble.
Neurocomputing, 2019

Fusion of Measures for Image Segmentation Evaluation.
Int. J. Comput. Intell. Syst., 2019

Computational Intelligence for Emerging Systems and Applications.
Int. J. Comput. Intell. Syst., 2019

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE.
Int. J. Comput. Intell. Syst., 2019

A sequential three-way approach to multi-class decision.
Int. J. Approx. Reason., 2019

Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification.
Comput. Sci. Eng., 2019

Urban flows prediction from spatial-temporal data using machine learning: A survey.
CoRR, 2019

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering.
CoRR, 2019

Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services.
Proceedings of the World Wide Web Conference, 2019

Discovering Senile Dementia from Brain MRI Using Ra-DenseNet.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Automatic Proofreading in Chinese: Detect and Correct Spelling Errors in Character-Level with Deep Neural Networks.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Three-Stream Convolutional Networks for Video-based Person Re-Identification.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Evaluating Segmentation Quality via Reference Segmentations in Tree-like Structure.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

A Hash Method for Calculating Rough Set Approximations.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Hierarchical Region Merging for Multi-scale Image Segmentation.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Network Energy: A New Energy of A Graph.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

A Fitted Fuzzy-rough Method for Missing Data Imputation.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Dynamical Information Fusion of Multisource Incomplete Hybrid Information Systems Based on Conditional Entropy.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

RFMC: A Rough Fuzzy Multi-view Clustering Approach.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Pavement Crack Detection Based on the Improved Faster-RCNN.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Text Detection by Fusing Text Edge Semantics in Arbitrary Shapes.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Concept-Enhanced Multi-view Clustering of Document Data.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Automatic Labeling for Gene-Disease Associations through Distant Supervision.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generative Adversarial Networks for Road Crack Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2019

An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learning with Noisy Labels for Sentence-level Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

TW-Co-MFC: Two-Level Weighted Collaborative Multi-view Fuzzy Clustering Based on Maximum Entropy.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation.
IEEE Trans. Fuzzy Syst., 2018

Local-Density-Based Optimal Granulation and Manifold Information Granule Description.
IEEE Trans. Cybern., 2018

Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology.
IEEE Trans. Cloud Comput., 2018

A Novel Connectivity-Based LEACH-MEEC Routing Protocol for Mobile Wireless Sensor Network.
Sensors, 2018

Region-based image segmentation evaluation via perceptual pooling strategies.
Mach. Vis. Appl., 2018

基于决策粗糙集的广义序贯三支决策方法 (Generalized Sequential Three-way Decisions Approach Based on Decision-theoretic Rough Sets).
计算机科学, 2018

Hesitant extension of fuzzy-rough set to address uncertainty in classification.
J. Intell. Fuzzy Syst., 2018

Convolutional networks with cross-layer neurons for image recognition.
Inf. Sci., 2018

Incremental rough set approach for hierarchical multicriteria classification.
Inf. Sci., 2018

An incremental attribute reduction method for dynamic data mining.
Inf. Sci., 2018

A Three-Stage Based Ensemble Learning for Improved Software Fault Prediction: An Empirical Comparative Study.
Int. J. Comput. Intell. Syst., 2018

An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework.
Int. J. Comput. Intell. Syst., 2018

Toward Convolutional Neural Networks on Pulse Repetition Interval Modulation Recognition.
IEEE Commun. Lett., 2018

Robust graph regularized nonnegative matrix factorization for clustering.
Data Min. Knowl. Discov., 2018

Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting.
CoRR, 2018

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering.
CoRR, 2018

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.
CoRR, 2018

Predicting citywide crowd flows using deep spatio-temporal residual networks.
Artif. Intell., 2018

Composite Sequential Three-Way Decisions.
Proceedings of the Rough Sets - International Joint Conference, 2018

Time Series Forecasting Using Sequence-to-Sequence Deep Learning Framework.
Proceedings of the 9th International Symposium on Parallel Architectures, 2018

Deep Distributed Fusion Network for Air Quality Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Explore Uncertainty in Residual Networks for Crowds Flow Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Multi-task Learning for Air Quality Prediction.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Web Video Clustering Based on Emotion Category.
Proceedings of the International Conference on Big Data Engineering and Technology, 2018

2017
Enhancing Security and Privacy for Identity-Based Batch Verification Scheme in VANETs.
IEEE Trans. Veh. Technol., 2017

Energy efficiency of VM consolidation in IaaS clouds.
J. Supercomput., 2017

A unified model of sequential three-way decisions and multilevel incremental processing.
Knowl. Based Syst., 2017

Fat node leading tree for data stream clustering with density peaks.
Knowl. Based Syst., 2017

Dynamic variable precision rough set approach for probabilistic set-valued information systems.
Knowl. Based Syst., 2017

Matrix-based dynamic updating rough fuzzy approximations for data mining.
Knowl. Based Syst., 2017

Incremental fuzzy cluster ensemble learning based on rough set theory.
Knowl. Based Syst., 2017

Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches.
J. Inf. Process. Syst., 2017

Finite-time boundedness analysis and H∞ control for switched neutral systems with mixed time-varying delays.
J. Frankl. Inst., 2017

Visual tracking with multiple Hough detectors.
Image Vis. Comput., 2017

Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values.
Inf. Sci., 2017

A unified framework of dynamic three-way probabilistic rough sets.
Inf. Sci., 2017

Dynamic probabilistic rough sets with incomplete data.
Inf. Sci., 2017

An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view.
Inf. Sci., 2017

A Group Incremental Reduction Algorithm with Varying Data Values.
Int. J. Intell. Syst., 2017

A Combined-Learning Based Framework for Improved Software Fault Prediction.
Int. J. Comput. Intell. Syst., 2017

Incremental fuzzy probabilistic rough sets over two universes.
Int. J. Approx. Reason., 2017

Three-Stream Convolutional Networks for Video-based Person Re-Identification.
CoRR, 2017

An improved MOEA/D algorithm for multi-objective multicast routing with network coding.
Appl. Soft Comput., 2017

An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies.
Appl. Soft Comput., 2017

Ensembles based combined learning for improved software fault prediction: A comparative study.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Diverse activation functions in deep learning.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Ego-clustering based propagation prediction of time series in social networks.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

H2: Fusion of HOG and Harris features for image segmentation evaluation.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Traffic flow forecasting based on hybrid deep learning framework.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Enhancing software defect prediction using supervised-learning based framework.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2016
A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization.
IEEE Trans. Evol. Comput., 2016

Constraint Co-Projections for Semi-Supervised Co-Clustering.
IEEE Trans. Cybern., 2016

Efficient updating of probabilistic approximations with incremental objects.
Knowl. Based Syst., 2016

Matrix approach to decision-theoretic rough sets for evolving data.
Knowl. Based Syst., 2016

An incremental approach for attribute reduction based on knowledge granularity.
Knowl. Based Syst., 2016

Hierarchical cluster ensemble model based on knowledge granulation.
Knowl. Based Syst., 2016

Advances in three-way decisions and granular computing.
Knowl. Based Syst., 2016

基于边界域的不完备信息系统属性约简方法 (Method for Attribute Reduction Based on Rough Sets Boundary Regions).
计算机科学, 2016

一种基于概率粗糙集的属性约简加速算法 (Accelerated Attribute Reduction Algorithm Based on Probabilistic Rough Sets).
计算机科学, 2016

Efficient parallel boolean matrix based algorithms for computing composite rough set approximations.
Inf. Sci., 2016

Incremental updating of rough approximations in interval-valued information systems under attribute generalization.
Inf. Sci., 2016

Efficient updating rough approximations with multi-dimensional variation of ordered data.
Inf. Sci., 2016

Parallel attribute reduction in dominance-based neighborhood rough set.
Inf. Sci., 2016

Semi-supervised hierarchical clustering ensemble and its application.
Neurocomputing, 2016

A Novel Role-based Access Control Model in Cloud Environments.
Int. J. Comput. Intell. Syst., 2016

An incremental attribute reduction approach based on knowledge granularity under the attribute generalization.
Int. J. Approx. Reason., 2016

Parallel Large-Scale Attribute Reduction on Cloud Systems.
CoRR, 2016

A New Weighting Approach Based on Rough Set Theory and Granular Computing for Road Safety Indicator Analysis.
Comput. Intell., 2016

Social Web Videos Clustering Based on Ensemble Technique.
Proceedings of the Rough Sets - International Joint Conference, 2016

Matrix-Based Rough Set Approach for Dynamic Probabilistic Set-Valued Information Systems.
Proceedings of the Rough Sets - International Joint Conference, 2016

On Minimizing Network Coding Resource: A Modified Particle Swarm Optimization Approach.
Proceedings of the 12th International Conference on Mobile Ad-Hoc and Sensor Networks, 2016

Fault analysis of High Speed Train with DBN hierarchical ensemble.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Data Fusion-Based Framework for Image Segmentation Evaluation.
Proceedings of the Intelligent Computing Theories and Application, 2016

Multi-view Clustering via Concept Factorization with Local Manifold Regularization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Urban sensing based on human mobility.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

A Novel Deep Learning Network Architecture with Cross-Layer Neurons.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems.
IEEE Trans. Knowl. Data Eng., 2015

A Decision-Theoretic Rough Set Approach for Dynamic Data Mining.
IEEE Trans. Fuzzy Syst., 2015

An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding.
EAI Endorsed Trans. Security Safety, 2015

Semi-supervised evolutionary ensembles for Web video categorization.
Knowl. Based Syst., 2015

Incremental updating approximations in probabilistic rough sets under the variation of attributes.
Knowl. Based Syst., 2015

Parallel computing of approximations in dominance-based rough sets approach.
Knowl. Based Syst., 2015

Update of approximations in composite information systems.
Knowl. Based Syst., 2015

Spectral co-clustering ensemble.
Knowl. Based Syst., 2015

不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems).
计算机科学, 2015

基于监督学习的日冕暗化检测与提取算法 (Coronal Dimming Detecting and Extracting Algorithm Based on Supervised Learning).
计算机科学, 2015

一种Hadoop中基于作业类别和截止时间的调度算法 (Scheduler Algorithm Based on Type Specific and Deadline in Hadoop).
计算机科学, 2015

Rule-based fuzzy classifier based on quantum ant optimization algorithm.
J. Intell. Fuzzy Syst., 2015

Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values.
Inf. Sci., 2015

Incremental update of approximations in dominance-based rough sets approach under the variation of attribute values.
Inf. Sci., 2015

An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks.
Inf. Sci., 2015

Preface: Intelligent Techniques for Data Science.
Int. J. Intell. Syst., 2015

An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes.
Int. J. Intell. Syst., 2015

MUS: a novel deadline-constrained scheduling algorithm for Hadoop.
Int. J. Comput. Sci. Eng., 2015

A fuzzy rough set approach for incremental feature selection on hybrid information systems.
Fuzzy Sets Syst., 2015

Reversible steganography using extended image interpolation technique.
Comput. Electr. Eng., 2015

Incremental Updating Rough Approximations in Interval-valued Information Systems.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Methods and Practices of Three-Way Decisions for Complex Problem Solving.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

PICKT: A Solution for Big Data Analysis.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Dynamic Maintenance of Rough Fuzzy Approximations with the Variation of Objects and Attributes.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Forecasting Fine-Grained Air Quality Based on Big Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Deep Belief Networks Oriented Clustering.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

An Improved PSO Algorithm for Community Detection.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

A Topological Characterization of Multiple Revision.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

A New Hypernetwork Model Based on Matrix Operation.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

A Matrix-Based Incremental Attribute Reduction Approach under Knowledge Granularity on the Variation of Attribute Set.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Dynamic Updating Rough Approximations in Distributed Information Systems.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Node Scaling Scheduling of Real-Time Tasks in a Power-Aware Datacenter.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Incremental fuzzy probabilistic rough sets over dual universes.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Three-Way Decisions in Stochastic Decision-Theoretic Rough Sets.
Trans. Rough Sets, 2014

A Rough Set-Based Method for Updating Decision Rules on Attribute Values' Coarsening and Refining.
IEEE Trans. Knowl. Data Eng., 2014

A novel real-time scheduling algorithm and performance analysis of a MapReduce-based cloud.
J. Supercomput., 2014

Identification of Nonlinear Dynamic System Using a Novel Recurrent Wavelet Neural Network Based on the Pipelined Architecture.
IEEE Trans. Ind. Electron., 2014

Constraint Neighborhood Projections for Semi-Supervised Clustering.
IEEE Trans. Cybern., 2014

Extended Probabilistic Rough Sets Under a Strict Dominance Relation.
J. Multiple Valued Log. Soft Comput., 2014

A low cost fragile watermarking scheme in H.264/AVC compressed domain.
Multim. Tools Appl., 2014

Bayesian image segmentation fusion.
Knowl. Based Syst., 2014

Hyper-ellipsoidal clustering technique for evolving data stream.
Knowl. Based Syst., 2014

Composite rough sets for dynamic data mining.
Inf. Sci., 2014

Decision region distribution preservation reduction in decision-theoretic rough set model.
Inf. Sci., 2014

Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization.
Inf. Sci., 2014

A Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation.
Int. J. Image Graph., 2014

A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems.
Int. J. Approx. Reason., 2014

A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems.
Int. J. Approx. Reason., 2014

Incorporating logistic regression to decision-theoretic rough sets for classifications.
Int. J. Approx. Reason., 2014

Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set.
Fundam. Informaticae, 2014

Preface.
Fundam. Informaticae, 2014

Dynamic Maintenance of Three-Way Decision Rules.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

A Parallel Matrix-Based Approach for Computing Approximations in Dominance-Based Rough Sets Approach.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Incremental Three-Way Decisions with Incomplete Information.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

Learning features from High Speed Train vibration signals with Deep Belief Networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments.
IEEE Trans. Knowl. Data Eng., 2013

b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET.
IEEE Trans. Inf. Forensics Secur., 2013

A Probabilistic Measure for Quantitative Evaluation of Image Segmentation.
IEEE Signal Process. Lett., 2013

Incremental approaches for updating approximations in set-valued ordered information systems.
Knowl. Based Syst., 2013

Incremental updating approximations in dominance-based rough sets approach under the variation of the attribute set.
Knowl. Based Syst., 2013

A blind image copyright protection scheme for e-government.
J. Vis. Commun. Image Represent., 2013

Using Sorted Switching Median Filter to remove high-density impulse noises.
J. Vis. Commun. Image Represent., 2013

Secure Convertible Undeniable Signature Scheme Using Extended Euclidean Algorithm without Random Oracles.
KSII Trans. Internet Inf. Syst., 2013

Dynamic Maintenance of Approximations in Dominance-Based Rough Set Approach under the Variation of the Object Set.
Int. J. Intell. Syst., 2013

Fuzziness in systems modelling.
Int. J. Gen. Syst., 2013

A Distributed TDMA-Based Data Gathering Scheme for Wireless Sensor Networks.
IEICE Trans. Inf. Syst., 2013

An Improved Cop-Kmeans Clustering for Solving Constraint Violation Based on MapReduce Framework.
Fundam. Informaticae, 2013

Efficient Complex Event Processing under Boolean Model.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

A Parallel Implementation of Computing Composite Rough Set Approximations on GPUs.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Three-Way Decisions in Dynamic Decision-Theoretic Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

PLAR: Parallel Large-Scale Attribute Reduction on Cloud Systems.
Proceedings of the International Conference on Parallel and Distributed Computing, 2013

Semi-supervised Clustering Ensemble for Web Video Categorization.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

H2T: A Simple Hadoop-to-Twister Translator for Cloud Computing.
Proceedings of the International Symposium on Biometrics and Security Technologies, 2013

A Learning-Based Framework for Image Segmentation Evaluation.
Proceedings of the 2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013

An approach for incremental maintenance of approximations in set-valued ordered decision systems while updating criteria values.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Fuzzy interval decision-theoretic rough sets.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Complex dynamics analysis and chaos control in airlines' dynamic price competition model with bounded retionality in China.
Proceedings of the 2013 IEEE International Conference on Control System, 2013

An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

Shape Constraint and Multi-feature Fusion Particle Filter for Facial Feature Point Tracking.
Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013

Chairing the ISKE Conference Series (2006-2011).
Proceedings of the A Tribute to Prof. Dr. Da Ruan, 2013

Chairing the FLINS Conference Series (1994-2012).
Proceedings of the A Tribute to Prof. Dr. Da Ruan, 2013

Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Rough Sets Based Incremental Rule Acquisition in Set-Valued Information Systems.
Proceedings of the Autonomous Systems: Developments and Trends, 2012

Adaptive Extended Pipelined Second-Order Volterra Filter for Nonlinear Active Noise Controller.
IEEE Trans. Speech Audio Process., 2012

Dynamic Maintenance of Approximations Under a Rough-set Based Variable Precision Limited Tolerance Relation.
J. Multiple Valued Log. Soft Comput., 2012

A special issue on new trends in Intelligent Decision Support Systems.
Knowl. Based Syst., 2012

Consensus clustering based on constrained self-organizing map and improved Cop-Kmeans ensemble in intelligent decision support systems.
Knowl. Based Syst., 2012

Constraint projections for semi-supervised affinity propagation.
Knowl. Based Syst., 2012

Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining.
Knowl. Based Syst., 2012

A parallel method for computing rough set approximations.
Inf. Sci., 2012

Neighborhood rough sets for dynamic data mining.
Int. J. Intell. Syst., 2012

Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems.
Int. J. Approx. Reason., 2012

Complex-valued pipelined decision feedback recurrent neural network for non-linear channel equalisation.
IET Commun., 2012

A Multiple-category Classification Approach with Decision-theoretic Rough Sets.
Fundam. Informaticae, 2012

A new blockmodeling based hierarchical clustering algorithm for web social networks.
Eng. Appl. Artif. Intell., 2012

Decision-Theoretic Rough Sets with Probabilistic Distribution.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

An Incremental Approach for Updating Approximations of Rough Fuzzy Sets under the Variation of the Object Set.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

A Multi-granulation Model under Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Parallel rough set based knowledge acquisition using MapReduce from big data.
Proceedings of the 1st International Workshop on Big Data, 2012

An incremental approach for updating approximations of neighborhood rough fuzzy sets under the variation of object set.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Dynamic maintenance strategy for approximations in set-valued ordered information systems under the attribute generalization.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Composite Rough Sets.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012

Exemplars-Constraints for Semi-supervised Clustering.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems.
Neural Networks, 2011

A vague-rough set approach for uncertain knowledge acquisition.
Knowl. Based Syst., 2011

Incremental learning optimization on knowledge discovery in dynamic business intelligent systems.
J. Glob. Optim., 2011

Pipelined functional link artificial recurrent neural network with the decision feedback structure for nonlinear channel equalization.
Inf. Sci., 2011

Probabilistic model criteria with decision-theoretic rough sets.
Inf. Sci., 2011

Da Ruan (10 September 1960 to 31 July 2011).
Int. J. Gen. Syst., 2011

WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks.
Int. J. Comput. Intell. Syst., 2011

Three-way Investment Decisions with Decision-theoretic Rough Sets.
Int. J. Comput. Intell. Syst., 2011

Computational Intelligence in Decision Making.
Int. J. Comput. Intell. Syst., 2011

Expression Detection Based on a Novel Emotion Recognition Method.
Int. J. Comput. Intell. Syst., 2011

Equalisation of non-linear time-varying channels using a pipelined decision feedback recurrent neural network filter in wireless communication systems.
IET Commun., 2011

Approximation Operators, Binary Relation and Basis Algebra in L-fuzzy Rough Sets.
Fundam. Informaticae, 2011

Neighborhood Rough Sets Based Matrix Approach for Calculation of the Approximations.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

A New Discriminant Analysis Approach under Decision-Theoretic Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2010
Nonlinear Adaptive Equalizer Using a Pipelined Decision Feedback Recurrent Neural Network in Communication Systems.
IEEE Trans. Commun., 2010

A hybrid system of neural networks and rough sets for road safety performance indicators.
Soft Comput., 2010

VPRS-Based Knowledge Discovery Approach in Incomplete Information System.
J. Comput., 2010

A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values.
Int. J. Intell. Syst., 2010

Parallel Sequential Pattern Mining of Massive Trajectory Data.
Int. J. Comput. Intell. Syst., 2010

WebRank: A Hybrid Page Scoring Approach Based on Social Network Analysis.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Multiple-Category Classification with Decision-Theoretic Rough Sets.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

A new method for calculation of the approximations under the probabilistic rough sets.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

An approach for incremental updating approximations in Variable precision rough sets while attribute generalized.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

SimRank: A Page Rank approach based on similarity measure.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

Approaches for dynamically updating set approximations in dominance based rough sets while condition attributes value coarsening and refining.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

Supplier Selection Based on Rough Sets and Analytic Hierarchy Process.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Computational Intelligence in Knowledge Technology.
Int. J. Comput. Intell. Syst., 2009

An Integration of Cloud Transform and Rough Set Theory to Induction of Decision Trees.
Fundam. Informaticae, 2009

An Incremental Approach for Inducing Knowledge from Dynamic Information Systems.
Fundam. Informaticae, 2009

The Basis Algebra in L-Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Integrating Rough Sets with Neural Networks for Weighting Road Safety Performance Indicators.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Approaches for incrementally updating approximations based on set-valued information systems while attribute values' coarsening and refining.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

An approach for inducing interesting incremental knowledge based on the change of attribute values.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Research on the approach of dynamically maintenance of approximations in rough set theory while attribute values coarsening and refining.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

An incremental updating principle for computing approximations in information systems while the object set varies with time.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008
Computational Intelligence in Knowledge Engineering.
Int. J. Comput. Intell. Syst., 2008

A New Decision Tree Construction Using the Cloud Transform and Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

A New Rough Sets Decision Method Based on PCA and Ordinal Regression.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

An efficient algorithm for the Single-Source Shortest Path Problem in graph theory.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

2007
A rough sets based characteristic relation approach for dynamic attribute generalization in data mining.
Knowl. Based Syst., 2007

An extended process model of knowledge discovery in database.
J. Enterp. Inf. Manag., 2007

2005
Sequential Pattern Mining.
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005

Intrusion detection system based on new association rule mining model.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

On a Mathematical Relationship Between the Fixed Point and the Closed Itemset in Association Rule Mining.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Study on Reduct and Core Computation in Incompatible Information Systems.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

An Algorithm for Mining Lower Closed Itemsets.
Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004

2003
Uncertainty reasoning based on filter of lattice implication algebra.
Proceedings of the IEEE International Conference on Systems, 2003


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