Yu Wang

Orcid: 0000-0001-6908-508X

Affiliations:

University of Oregon, Department of Computer Science, Eugene, OR, USA
Vanderbilt University, Department of Computer Science, Nashville, TN, USA (PhD 2024)
Adobe Research, San Jose, CA, USA

According to our database¹, Yu Wang authored at least 39 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.

[BibT_eX]

[DOI]

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

Fairness-Aware Graph Neural Networks: A Survey.

[BibT_eX]

[DOI]

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

GUI Agents: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Multimodal Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2024

DynaSaur: Large Language Agents Beyond Predefined Actions.

[BibT_eX]

[DOI]

CoRR, 2024

GRS-QA - Graph Reasoning-Structured Question Answering Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

Personalization of Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Small Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Edge Classification on Graphs: New Directions in Topological Imbalance.

[BibT_eX]

[DOI]

CoRR, 2024

Large Generative Graph Models.

[BibT_eX]

[DOI]

CoRR, 2024

Augmenting Textual Generation via Topology Aware Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Graph-based Session Recommendation with Adaptive Propagation.

[BibT_eX]

[DOI]

CoRR, 2024

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Topology-aware Retrieval Augmentation for Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Data Quality-aware Graph Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation.

[BibT_eX]

[DOI]

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

Knowledge Graph Prompting for Multi-Document Question Answering.

[BibT_eX]

[DOI]

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

2023

Fairness and Diversity in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Collaboration-Aware Graph Convolutional Network for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations.

[BibT_eX]

[DOI]

Yuying Zhao

Yu Wang

Tyler Derr

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

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.

[BibT_eX]

[DOI]

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

2022

Generating Synthetic Systems of Interdependent Critical Infrastructure Networks.

[BibT_eX]

[DOI]

Yu Wang

Jin-Zhu Yu

Hiba Baroud

IEEE Syst. J., 2022

A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures.

[BibT_eX]

[DOI]

Yu Wang

Jin-Zhu Yu

Hiba Baroud

CoRR, 2022

Collaboration-Aware Graph Convolutional Networks for Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Fair Graph Representation Learning with Imbalanced and Biased Data.

[BibT_eX]

[DOI]

Yu Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ChemicalX: A Deep Learning Library for Drug Pair Scoring.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On Structural Explanation of Bias in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Degree-Related Bias in Link Prediction.

[BibT_eX]

[DOI]

Yu Wang

Tyler Derr

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Imbalanced Graph Classification via Graph-of-Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification.

[BibT_eX]

[DOI]

Yu Wang

Charu Aggarwal

Tyler Derr

CoRR, 2021

Tree Decomposed Graph Neural Network.

[BibT_eX]

[DOI]

Yu Wang

Tyler Derr

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Data-Integration Analysis on Road Emissions and Traffic Patterns.

[BibT_eX]

[DOI]

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Yu Wang

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