Kai Yang

Orcid: 0000-0003-0493-9341

Affiliations:
  • Yangzhou University, College of Information Engineering, Yangzhou, China
  • University of Shanghai for Science and Technology, Shanghai, China (PhD 2019)


According to our database1, Kai Yang authored at least 12 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Missing visual modality graph transformer for multi-modal entity alignment.
Pattern Recognit., 2026

Graph-constructed adaptive semantic fusion for heterophilic graph contrastive learning.
Neurocomputing, 2026

Graph-enhanced federated learning for recommendation via user preference clustering.
Expert Syst. Appl., 2026

Heterogeneous graph neural networks with weak information.
Expert Syst. Appl., 2026

Knowledge graph contrastive learning for recommendation via knowledge-aware reasoning.
Expert Syst. Appl., 2026

Multimodal heterogeneous graph neural networks for recommendation via large language models' guidance.
Expert Syst. Appl., 2026

2025
Multi-relational knowledge graph contrastive learning for link prediction.
Data Min. Knowl. Discov., November, 2025

Graph attention contrastive learning with missing modality for multimodal recommendation.
Knowl. Based Syst., 2025

Structure-augmentation and Attribute-aware Graph Contrastive Learning with Weak Information.
Knowl. Based Syst., 2025

2024
Heterogeneous Graph Contrastive Learning With Augmentation Graph.
IEEE Trans. Artif. Intell., October, 2024

Local structure-aware graph contrastive representation learning.
Neural Networks, 2024

2018
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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