Yejiang Wang

Orcid: 0000-0001-7908-4275

According to our database1, Yejiang Wang authored at least 18 papers between 2020 and 2026.

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

2026
BamaER: A Behavior-Aware Memory-Augmented Model for Exercise Recommendation.
CoRR, February, 2026

Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning.
Proceedings of the ACM Web Conference 2026, 2026

Graph-to-Tree: Topological Decomposition for Self-Supervised Learning.
Proceedings of the ACM Web Conference 2026, 2026

Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Dual-granularity multi-instance multi-label learning with variational autoencoder.
Knowl. Based Syst., 2025

Multi-graph multi-instance multi-label learning via disentangled information mining.
Expert Syst. Appl., 2025

Graph Contrastive Learning with Progressive Augmentations.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

N2GON: Neural Networks for Graph-of-Net with Position Awareness.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Equivalence is All: A Unified View for Self-supervised Graph Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Towards Robust Multi-Label Learning against Dirty Label Noise.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Limited-Supervised Multi-Label Learning with Dependency Noise.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Image emotion multi-label classification based on multi-graph learning.
Expert Syst. Appl., November, 2023

Multi-graph multi-label learning with novel and missing labels.
Knowl. Based Syst., 2023

GALOPA: Graph Transport Learning with Optimal Plan Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Self-Supervised Multi-Instance Learning with Structure Awareness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Multi-graph Multi-label Learning with Dual-granularity Labeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning.
CoRR, 2020


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