Xueqi Ma

Orcid: 0009-0004-0203-8501

According to our database1, Xueqi Ma authored at least 25 papers between 2016 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Graph explicit pooling for graph-level representation learning.
Neural Networks, 2025

2024
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Exploring sparsity in graph transformers.
Neural Networks, 2024

Finding core labels for maximizing generalization of graph neural networks.
Neural Networks, 2024

Dual-perspective Cross Contrastive Learning in Graph Transformers.
CoRR, 2024

Hi-GMAE: Hierarchical Graph Masked Autoencoders.
CoRR, 2024

Training Sparse Graph Neural Networks via Pruning and Sprouting.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

GenUDC: High Quality 3D Mesh Generation With Unsigned Dual Contouring Representation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Gradformer: Graph Transformer with Exponential Decay.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Generating 3D House Wireframes with Semantics.
Proceedings of the Computer Vision - ECCV 2024, 2024

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

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


  Loading...