Yejiang Wang

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

BamaER: A Behavior-Aware Memory-Augmented Model for Exercise Recommendation.

Qing Yang, Yuhao Jiang, Rui Wang, Jipeng Guo, Yejiang Wang, Xinghe Cheng, Zezheng Wu, Jiapu Wang, Jingwei Zhang

CoRR, February, 2026

Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning.

Meixia Wang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Miaomiao Huang, Fazal Wahab, Wen Shan, Xingwei Wang

Proceedings of the ACM Web Conference 2026, 2026

Graph-to-Tree: Topological Decomposition for Self-Supervised Learning.

Yejiang Wang, Yuhai Zhao, Fangting Li, Jiapu Wang, Meixia Wang, Ling Li, Miaomiao Huang, Zhengkui Wang, Shirui Pan

Proceedings of the ACM Web Conference 2026, 2026

Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification.

Meixia Wang, Yuhai Zhao, Zhengkui Wang, Yejiang Wang, Miaomiao Huang, Fenglong Ma, Fazal Wahab, Wen Shan, Xingwei Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Dual-granularity multi-instance multi-label learning with variational autoencoder.

Meixia Wang, Yuhai Zhao, Yejiang Wang, Miaomiao Huang, Xuze Liu, Xingwei Wang

Knowl. Based Syst., 2025

Multi-graph multi-instance multi-label learning via disentangled information mining.

Miaomiao Huang, Yuhai Zhao, Yejiang Wang, Meixia Wang, Xingwei Wang

Expert Syst. Appl., 2025

Graph Contrastive Learning with Progressive Augmentations.

Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Xingwei Wang

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.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Equivalence is All: A Unified View for Self-supervised Graph Learning.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang, Xingwei Wang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Towards Robust Multi-Label Learning against Dirty Label Noise.

Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Limited-Supervised Multi-Label Learning with Dependency Noise.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Image emotion multi-label classification based on multi-graph learning.

Meixia Wang, Yuhai Zhao, Yejiang Wang, Tongze Xu, Yiming Sun

Expert Syst. Appl., November, 2023

Multi-graph multi-label learning with novel and missing labels.

Miaomiao Huang, Yuhai Zhao, Yejiang Wang, Fazal Wahab, Yiming Sun, Chen Chen

Knowl. Based Syst., 2023

GALOPA: Graph Transport Learning with Optimal Plan Alignment.

Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li

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.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Multi-graph Multi-label Learning with Dual-granularity Labeling.

Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang

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.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang

CoRR, 2020