Yiyang Gu

Orcid: 0000-0002-5915-4448

According to our database¹, Yiyang Gu authored at least 36 papers between 2010 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

TowerDNA: Fast and Accurate Graph Retrieval With Dividing, Contrasting and Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2026

DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2026

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2025

Long-Term Decision-Optimal Access Mechanism in the Large-Scale Satellite Network: A Multiagent Reinforcement Learning Approach.

[BibT_eX]

[DOI]

IEEE Internet Things J., May, 2025

Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

[BibT_eX]

[DOI]

CoRR, March, 2025

Hypergraph Consistency Learning With Relational Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

MATE: Masked optimal transport with dynamic selection for partial label graph learning.

[BibT_eX]

[DOI]

Artif. Intell., 2025

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2025

CODE: Towards Partial Label Graph Learning via Coupled Dual Separation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Deep Graph Clustering with Disentangled Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification.

[BibT_eX]

[DOI]

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

2024

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

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

Toward the Random Multiaccess in SIoT: A Generalized-Deduplication-Based CRDSA Mechanism.

[BibT_eX]

[DOI]

IEEE Internet Things J., June, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2024

A Comprehensive Survey on Deep Graph Representation Learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PGODE: Towards High-quality System Dynamics Modeling.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unsupervised graph-level representation learning with hierarchical contrasts.

[BibT_eX]

[DOI]

Neural Networks, January, 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

GLCC: A General Framework for Graph-Level Clustering.

[BibT_eX]

[DOI]

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

2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2010

Quick matting: A matting method based on pixel spread and propagation.

[BibT_eX]

[DOI]

Yiyang Gu

Cheng Jin

Xiangyang Xue

Proceedings of the International Conference on Image Processing, 2010

Yiyang Gu

Timeline

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Bibliography

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