Shuyin Xia

Orcid: 0000-0001-5993-9563

According to our database1, Shuyin Xia authored at least 79 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A multi-granular general evolutionary computation framework by fully utilizing the eliminated particles.
Int. J. Mach. Learn. Cybern., May, 2024

An Efficient and Adaptive Granular-Ball Generation Method in Classification Problem.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

GBG++: A Fast and Stable Granular Ball Generation Method for Classification.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

A multi-level semantic-assisted unsupervised heterogeneous network representation learning model.
Neurocomputing, March, 2024

One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning.
IEEE Trans. Artif. Intell., January, 2024

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

Multi-Granularity Causal Structure Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Neighborhood Covering Classifier Based on Optimal Granularity of Fuzzy Quotient Space.
IEEE Trans. Fuzzy Syst., October, 2023

Bi-LSTM Sequence Modeling for On-The-Fly Fine-Grained Sketch-Based Image Retrieval.
IEEE Trans. Artif. Intell., October, 2023

Incremental Learning Based on Granular Ball Rough Sets for Classification in Dynamic Mixed-Type Decision System.
IEEE Trans. Knowl. Data Eng., September, 2023

An Efficient Spectral Clustering Algorithm Based on Granular-Ball.
IEEE Trans. Knowl. Data Eng., September, 2023

GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection.
IEEE Trans. Knowl. Data Eng., September, 2023

An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation.
IEEE Trans. Knowl. Data Eng., August, 2023

Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction.
Neural Networks, 2023

A cross-validation framework to find a better state than the balanced one for oversampling in imbalanced classification.
Int. J. Mach. Learn. Cybern., 2023

Ensemble learning framework for image retrieval via deep hash ranking.
Knowl. Based Syst., 2023

Multiscale hierarchical attention fusion network for edge detection.
Int. J. Ad Hoc Ubiquitous Comput., 2023

Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method.
CoRR, 2023

Granular-ball Optimization Algorithm.
CoRR, 2023

Research on Efficient Fuzzy Clustering Method Based on Local Fuzzy Granular balls.
CoRR, 2023

Graph-based Representation for Image based on Granular-ball.
CoRR, 2023

GBMST: An Efficient Minimum Spanning Tree Clustering Based on Granular-Ball Computing.
CoRR, 2023

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

GBSMOTE: A Robust Sampling Method Based on Granular-ball Computing and SMOTE for Class Imbalance.
Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023

GBCloud: a Robust Cloud Model for Processing Multi-dimensional Data Using Granular-ball Computing.
Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023

Building Interpretable Deep CNN Based on Binary Tree Structure Convolution Layers.
Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023

An Adaptive Granular Ball Classifier Based on Natural Neighbor.
Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023

Sketch Less Face Image Retrieval: A New Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram.
IEEE Trans. Neural Networks Learn. Syst., 2022

mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework.
IEEE Trans. Neural Networks Learn. Syst., 2022

GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification.
IEEE Trans. Knowl. Data Eng., 2022

Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification.
IEEE Trans. Intell. Transp. Syst., 2022

Random Space Division Sampling for Label-Noisy Classification or Imbalanced Classification.
IEEE Trans. Cybern., 2022

Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation.
IEEE Trans. Cybern., 2022

Random Sharing Parameters in the Global Region of Convolutional Neural Network.
IEEE Trans. Artif. Intell., 2022

An adaptive threshold-based quantum image segmentation algorithm and its simulation.
Quantum Inf. Process., 2022

Ball $k$k-Means: Fast Adaptive Clustering With No Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

An adaptive and general model for label noise detection using relative probabilistic density.
Knowl. Based Syst., 2022

FNC: A fast neighborhood calculation framework.
Knowl. Based Syst., 2022

Multi-granularity Association Learning for On-the-fly Fine-grained Sketch-based Image Retrieval.
Knowl. Based Syst., 2022

Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction.
Knowl. Based Syst., 2022

IbLT: An effective granular computing framework for hierarchical community detection.
J. Intell. Inf. Syst., 2022

VPGB: A granular-ball based model for attribute reduction and classification with label noise.
Inf. Sci., 2022

A novel cluster internal evaluation index based on hyper-balls.
CoRR, 2022

Fuzzy Granular-Ball Computing Framework and Its Implementation in SVM.
CoRR, 2022

GBSVM: Granular-ball Support Vector Machine.
CoRR, 2022

Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval.
CoRR, 2022

GBRS: An Unified Model of Pawlak Rough Set and Neighborhood Rough Set.
CoRR, 2022

An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation.
CoRR, 2022

Fast Attribute Reduction for Big Datasets Based on Neighborhood Rough Set.
Proceedings of the Fuzzy Systems and Data Mining VIII, 2022

2021
Text tendency analysis based on multi-granularity emotional chunks and integrated learning.
Neural Comput. Appl., 2021

Weighted oversampling algorithms for imbalanced problems and application in prediction of streamflow.
Knowl. Based Syst., 2021

RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise.
Inf. Sci., 2021

Building partially understandable convolutional neural networks by differentiating class-related neural nodes.
Neurocomputing, 2021

A Fast Attribute Reduction Algorithm of Neighborhood Rough Set.
Proceedings of the 13th International Conference on Knowledge and Smart Technology, 2021

Fast k-means Clustering Based on the Neighbor Information.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

An Improved Genetic Algorithm Based on k-means.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

Designing a Partially Understandable Neural Network through Semantic Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Deep multi-granularity graph embedding for user identity linkage across social networks.
Knowl. Based Syst., 2020

Social relationship prediction across networks using tri-training BP neural networks.
Neurocomputing, 2020

LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection.
CoRR, 2020

Ball k-means.
CoRR, 2020

Understanding a Deep Neural Network Based on Neural-Path Coding.
IEEE Access, 2020

2019
Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers.
IEEE Trans. Knowl. Data Eng., 2019

Granular ball computing classifiers for efficient, scalable and robust learning.
Inf. Sci., 2019

Transferring Ensemble Representations Using Deep Convolutional Neural Networks for Small-Scale Image Classification.
IEEE Access, 2019

A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks.
Proceedings of the Rough Sets - International Joint Conference, 2019

Edge Sign Prediction Based on Orthogonal Graph Regularized Nonnegative Matrix Factorization for Transfer Learning.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

A Fast Relative Density Method Based on Space Partitioning.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

A Multi-granularity Genetic Algorithm.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018
Multi-granularity Network Representation Learning Based on Game Theory.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Prediction of Aluminum Electrolysis Superheat Based on Improved Relative Density Noise Filter SMO.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

The k-Means Forest Classifier for High Dimensional Data.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

A Multi-Granular Relative Density Model for Class Noise Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Noise self-filtering K-nearest neighbors algorithms.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Vibration-Based Outlier Detection on High Dimensional Data.
Int. J. Artif. Intell. Tools, 2016

2015
Location difference of multiple distances based k-nearest neighbors algorithm.
Knowl. Based Syst., 2015

Relative density based support vector machine.
Neurocomputing, 2015


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