Yaming Yang

Orcid: 0000-0002-8186-0648

Affiliations:
  • Xidian University, Xi'an, China


According to our database1, Yaming Yang authored at least 19 papers between 2019 and 2025.

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

Timeline

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2020
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2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Pseudo Contrastive Learning for graph-based semi-supervised learning.
Neurocomputing, 2025

2024
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., November, 2024

Deep Learning-Based Detection for Marker Codes Over Insertion and Deletion Channels.
IEEE Trans. Commun., October, 2024

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification.
CoRR, 2024

Aligning Multiple Knowledge Graphs in a Single Pass.
CoRR, 2024

AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

NodeMixup: Tackling Under-Reaching for Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Entropy Induced Pruning Framework for Convolutional Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Distributed dominance graph-based neural multi-objective evolutionary strategy for sponsored search real-time bidding.
Knowl. Based Syst., November, 2023

Graph Substructure Assembling Network With Soft Sequence and Context Attention.
IEEE Trans. Knowl. Data Eng., May, 2023

Interpretable and Efficient Heterogeneous Graph Convolutional Network.
IEEE Trans. Knowl. Data Eng., 2023

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning.
CoRR, 2023

Progressive Deep Multi-View Comprehensive Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Entropy Induced Pruning Framework for Convolutional Neural Networks.
CoRR, 2022

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.
CoRR, 2021

2020
CoHomo: A cluster-attribute correlation aware graph clustering framework.
Neurocomputing, 2020

2019
Parameter-free Community Detection through Distance Dynamic Synchronization.
Comput. J., 2019

Adversarial Graph Attention Network for Multi-modal Cross-Modal Retrieval.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019


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