Yifan Wang

Orcid: 0000-0001-7764-8698

Affiliations:

University of International Business and Economics, School of Information Technology & Management, Beijing, China
Peking University, School of Computer Science, Beijing, China
Northeastern University, Software College, Shenyang, Liaoning, China

According to our database¹, Yifan Wang authored at least 48 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

HGOOD-D: Hyperbolic Hierarchical Exploration for Graph Out-of-Distribution Detection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 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

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.

[BibT_eX]

[DOI]

CoRR, January, 2026

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

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2026

Towards distribution-aware active learning for data-efficient neural architecture predictor.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2026

KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Long-Tailed Recognition of Evidential Experts for Graph-level Classification.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Cluster-Aware Few-Shot Molecular Property Prediction With Factor Disentanglement.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2025

DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

Learning Knowledge-diverse Experts for Long-tailed Graph Classification.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

Hypergraph Consistency Learning With Relational Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

Reversible Column Disentangled Augmentation Tricks for Graph Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

GMR-Rec: Graph mutual regularization learning for multi-domain recommendation.

[BibT_eX]

[DOI]

Inf. Sci., 2025

MHGC: Multi-scale hard sample mining for contrastive deep graph clustering.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2025

Rethinking neural architecture representation for predictors: Topological encoding in pixel space.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 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

PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.

[BibT_eX]

[DOI]

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

LEAF: Large Language Diffusion Model for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.

[BibT_eX]

[DOI]

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

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

A Survey of Data-Efficient Graph Learning.

[BibT_eX]

[DOI]

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

Rank and Align: Towards Effective Source-free Graph Domain Adaptation.

[BibT_eX]

[DOI]

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

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

[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

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.