Yu Wang

Orcid: 0000-0002-0294-8706

Affiliations:

University of California San Diego, CA, USA
University of Science and Technology of China, Hefei, China (2018 - 2022)

According to our database¹, Yu Wang authored at least 24 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Bibliography

2025

LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation.

[BibT_eX]

[DOI]

CoRR, March, 2025

M+: Extending MemoryLLM with Scalable Long-Term Memory.

[BibT_eX]

[DOI]

CoRR, February, 2025

Towards LifeSpan Cognitive Systems.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Large Scale Knowledge Washing.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Self-Updatable Large Language Models by Integrating Context into Model Parameters.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Outlier Summarization via Human Interpretable Rules.

[BibT_eX]

[DOI]

Proc. VLDB Endow., March, 2024

Self-Updatable Large Language Models with Parameter Integration.

[BibT_eX]

[DOI]

CoRR, 2024

A Fashion Item Recommendation Model in Hyperbolic Space.

[BibT_eX]

[DOI]

CoRR, 2024

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding.

[BibT_eX]

[DOI]

CoRR, 2024

LVCHAT: Facilitating Long Video Comprehension.

[BibT_eX]

[DOI]

CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

[BibT_eX]

[DOI]

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

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding.

[BibT_eX]

[DOI]

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

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.

[BibT_eX]

[DOI]

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

2023

AutoOD: Automatic Outlier Detection.

[BibT_eX]

[DOI]

Elke A. Rundensteiner

Proc. ACM Manag. Data, 2023

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

[BibT_eX]

[DOI]

CoRR, 2023

Interpretable Outlier Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Improving Out-of-Distribution Robustness via Selective Augmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Controlling Bias Exposure for Fair Interpretable Predictions.

[BibT_eX]

[DOI]

Zexue He

Yu Wang

Julian J. McAuley

Bodhisattwa Prasad Majumder

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Meta-learning with an Adaptive Task Scheduler.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Yu Wang

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