Yangding Li

Orcid: 0000-0003-0175-4368

According to our database¹, Yangding Li authored at least 23 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2024

Centrality-based Relation aware Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Knowl. Based Syst., January, 2024

2023

Reachable Distance Function for KNN Classification.

[BibT_eX]

[DOI]

Shichao Zhang

Jiaye Li

Yangding Li

IEEE Trans. Knowl. Data Eng., July, 2023

2022

Self-Adaptive Clustering of Dynamic Multi-Graph Learning.

[BibT_eX]

[DOI]

Neural Process. Lett., 2022

PPIS-JOIN: A Novel Privacy-Preserving Image Similarity Join Method.

[BibT_eX]

[DOI]

Neural Process. Lett., 2022

Semi-supervised Learning with Graph Convolutional Networks Based on Hypergraph.

[BibT_eX]

[DOI]

Yangding Li

Yingying Wan

Xingyi Liu

Neural Process. Lett., 2022

A Robust Cost-Sensitive Feature Selection Via Self-Paced Learning Regularization.

[BibT_eX]

[DOI]

Neural Process. Lett., 2022

CSDM: A context-sensitive deep matching model for medical dialogue information extraction.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Chinese medical dialogue information extraction via contrastive multi-utterance inference.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

2021

Hierarchical Graph Representation Learning with Local Capsule Pooling.

[BibT_eX]

[DOI]

Zidong Su

Zehui Hu

Yangding Li

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Adaptive Cross-stitch Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Adaptive Graph Learning for Semi-supervised Classification of GCNs.

[BibT_eX]

[DOI]

Yingying Wan

Mengmeng Zhan

Yangding Li

Proceedings of the Databases Theory and Applications, 2021

2020

One-step spectral clustering based on self-paced learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Local Structure Preservation for Nonlinear Clustering.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Spectral clustering algorithm combining local covariance matrix with normalization.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

2019

Nonlinear sparse feature selection algorithm via low matrix rank constraint.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Feature selection via kernel sparse representation.

[BibT_eX]

[DOI]

Zhizheng Lv

Yangding Li

Jieye Li

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Unsupervised feature selection by combining subspace learning with feature self-representation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Abnormal frontostriatal tracts in young male tobacco smokers.

[BibT_eX]

[DOI]

NeuroImage, 2018

Hypergraph expressing low-rank feature selection algorithm.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

一种基于SimRank得分的谱聚类算法 (Spectral Clustering Algorithm Based on SimRank Score).

[BibT_eX]

[DOI]

计算机科学, 2018

2017

Unsupervised Spectral Feature Selection with Local Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Unsupervised Feature Selection via Local Structure Learning and Self-Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Yangding Li

Timeline

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