Yaming Yang

Orcid: 0000-0002-8186-0648

Affiliations:

Xidian University, Xi'an, China

According to our database¹, Yaming Yang authored at least 40 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training.

[BibT_eX]

[DOI]

CoRR, May, 2026

Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment.

[BibT_eX]

[DOI]

CoRR, May, 2026

SSA-KD: Self-structure-aware knowledge distillation for convolutional neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2026

General expert-guided multi-group graph prompt learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2026

Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Aligning Multiple Knowledge Graphs in A Single Pass.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2025

Higher-order interactions of multi-layer prompt.

[BibT_eX]

[DOI]

CoRR, October, 2025

H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance.

[BibT_eX]

[DOI]

CoRR, July, 2025

Adaptive Task-Aware Refining Network for Few-Shot Fine-Grained Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., March, 2025

Few-shot fine-grained image classification based on multi-scale selecting and feature interacting.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

Pseudo Contrastive Learning for graph-based semi-supervised learning.

[BibT_eX]

[DOI]

Neurocomputing, 2025

G-NodeMixup: Enhancing graph neural networks reachability under extremely limited labels.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Discrepancy-Aware Graph Mask Auto-Encoder.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Deep Learning-Based Detection for Marker Codes Over Insertion and Deletion Channels.

[BibT_eX]

[DOI]

IEEE Trans. Commun., October, 2024

Aligning Multiple Knowledge Graphs in a Single Pass.

[BibT_eX]

[DOI]

CoRR, 2024

AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

NodeMixup: Tackling Under-Reaching for Graph Neural Networks.

[BibT_eX]

[DOI]

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

Entropy Induced Pruning Framework for Convolutional Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Knowl. Based Syst., November, 2023

Graph Substructure Assembling Network With Soft Sequence and Context Attention.

[BibT_eX]

[DOI]

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

Interpretable and Efficient Heterogeneous Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Progressive Deep Multi-View Comprehensive Representation Learning.

[BibT_eX]

[DOI]

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

2022

Entropy Induced Pruning Framework for Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

Neurocomputing, 2020

2019

Parameter-free Community Detection through Distance Dynamic Synchronization.

[BibT_eX]

[DOI]

Comput. J., 2019

Adversarial Graph Attention Network for Multi-modal Cross-Modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Yaming Yang

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