Xueqi Ma

Orcid: 0000-0003-1908-3187

According to our database1, Xueqi Ma authored at least 16 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Graph structure reforming framework enhanced by commute time distance for graph classification.
Neural Networks, November, 2023

Exploring Sparsity in Graph Transformers.
CoRR, 2023

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.
CoRR, 2023

Gapformer: Graph Transformer with Graph Pooling for Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Learning Representation on Optimized High-Order Manifold for Visual Classification.
IEEE Trans. Multim., 2022

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
CoRR, 2022

Masked Graph Auto-Encoder Constrained Graph Pooling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Appearance Design Method of "New Mandatory Standard" for Electric Bicycle Based on Online Comments.
Proceedings of the Advances in Industrial Design, 2021

2019
Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition.
IEEE Trans. Geosci. Remote. Sens., 2019

$p$ -Laplacian Regularization for Scene Recognition.
IEEE Trans. Cybern., 2019

Effective human action recognition by combining manifold regularization and pairwise constraints.
Multim. Tools Appl., 2019

Ensemble p-Laplacian Regularization for Scene Image Recognition.
Cogn. Comput., 2019

2018
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition.
CoRR, 2018

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition.
CoRR, 2018

2016
Semi-supervised Hessian Eigenmap for Human Action Recognition.
Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016

Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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