Xiao Xu

Orcid: 0000-0003-2888-7451

Affiliations:
  • China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China


According to our database1, Xiao Xu authored at least 34 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
Vertical Federated Density Peaks Clustering Under Nonlinear Mapping.
IEEE Trans. Knowl. Data Eng., February, 2025

Horizontal Federated Density Peaks Clustering.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024
Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder.
ACM Trans. Knowl. Discov. Data, September, 2024

Non-iterative border-peeling clustering algorithm based on swap strategy.
Inf. Sci., January, 2024

Synergistic Deep Graph Clustering Network.
CoRR, 2024

Deep Friendly Embedding Space for Clustering.
Proceedings of the Intelligent Information Processing XII, 2024

2023
Graph clustering network with structure embedding enhanced.
Pattern Recognit., December, 2023

Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging.
Inf. Sci., November, 2023

Semi-supervised deep density clustering.
Appl. Soft Comput., November, 2023

FEMRNet: Feature-enhanced multi-scale residual network for image denoising.
Appl. Intell., November, 2023

A novel clustering algorithm based on multi-layer features and graph attention networks.
Soft Comput., May, 2023

Maximum density minimum redundancy based hypergraph regularized support vector regression.
Int. J. Mach. Learn. Cybern., May, 2023

An improved density peaks clustering algorithm based on natural neighbor with a merging strategy.
Inf. Sci., May, 2023

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data.
Pattern Recognit., April, 2023

Density peaks clustering algorithm based on improved similarity and allocation strategy.
Int. J. Mach. Learn. Cybern., April, 2023

Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering.
Appl. Soft Comput., 2023

LoFall: LoRa-Based Long-Range Through-Wall Fall Detection.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Finding Potential Pneumoconiosis Patients with Commercial Acoustic Device.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A deep clustering by multi-level feature fusion.
Int. J. Mach. Learn. Cybern., 2022

Fast density peaks clustering algorithm in polar coordinate system.
Appl. Intell., 2022

2021
A fast density peaks clustering algorithm with sparse search.
Inf. Sci., 2021

A community detection algorithm based on Quasi-Laplacian centrality peaks clustering.
Appl. Intell., 2021

2020
A robust density peaks clustering algorithm with density-sensitive similarity.
Knowl. Based Syst., 2020

2019
A feasible density peaks clustering algorithm with a merging strategy.
Soft Comput., 2019

The multi-tag semantic correlation used for micro-blog user interest modeling.
Eng. Appl. Artif. Intell., 2019

2018
Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors.
Soft Comput., 2018

DPCG: an efficient density peaks clustering algorithm based on grid.
Int. J. Mach. Learn. Cybern., 2018

Density peaks clustering using geodesic distances.
Int. J. Mach. Learn. Cybern., 2018

An improved density peaks clustering algorithm with fast finding cluster centers.
Knowl. Based Syst., 2018

A Fast Density Peaks Clustering Algorithm Based on Pre-Screening.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood.
Knowl. Based Syst., 2017

2016
A Novel Locally Multiple Kernel k-means Based on Similarity.
Proceedings of the Intelligent Information Processing VIII, 2016


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