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 59 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.

[BibT_eX]

[DOI]

CoRR, July, 2025

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition.

[BibT_eX]

[DOI]

Mayank Bumb

Anshul Vemulapalli

Sri Harsha Vardhan Prasad Jella

CoRR, June, 2025

A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models.

[BibT_eX]

[DOI]

Mahantesh M. Halappanavar

Yao Ma

Yu Wang

CoRR, May, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

[BibT_eX]

[DOI]

CoRR, May, 2025

Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Empowering GraphRAG with Knowledge Filtering and Integration.

[BibT_eX]

[DOI]

CoRR, March, 2025

Fairness and Diversity in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., February, 2025

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.

[BibT_eX]

[DOI]

CoRR, February, 2025

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights.

[BibT_eX]

[DOI]

CoRR, February, 2025

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

Personalized Graph-Based Retrieval for Large Language Models.

[BibT_eX]

[DOI]

Steven Au

Cameron J. Dimacali

Ojasmitha Pedirappagari

CoRR, January, 2025

Retrieval-Augmented Generation with Graphs (GraphRAG).

[BibT_eX]

[DOI]

Mahantesh Halappanavar

CoRR, January, 2025

Personalization of Large Language Models: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2025

Edge Classification on Graphs: New Directions in Topological Imbalance.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Demystifying the Power of Large Language Models in Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

A Large-scale Training Paradigm for Graph Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

From Selection to Generation: A Survey of LLM-based Active Learning.

[BibT_eX]

[DOI]

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

GUI Agents: A Survey.

[BibT_eX]

[DOI]

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

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.

[BibT_eX]

[DOI]

Mahantesh M. Halappanavar

Jiliang Tang

Yu Wang

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

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

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

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

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 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

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

Crowd Density Estimation Using Fusion of Multi-Layer Features.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 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

2018

A Deeply-Recursive Convolutional Network For Crowd Counting.