Yu Wang

According to our database, Yu Wang authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation.

Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley

CoRR, 2024

Self-Updatable Large Language Models with Parameter Integration.

Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley

CoRR, 2024

Towards LifeSpan Cognitive Systems.

Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley

CoRR, 2024

A Fashion Item Recommendation Model in Hyperbolic Space.

Ryotaro Shimizu, Yu Wang, Masanari Kimura, Yuki Hirakawa, Takashi Wada, Yuki Saito, Julian J. McAuley

CoRR, 2024

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.

Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley

CoRR, 2024

Large Scale Knowledge Washing.

Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley

CoRR, 2024

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

Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu

CoRR, 2024

LVCHAT: Facilitating Long Video Comprehension.

Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He

CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley

CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley

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

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

Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Zichao Yang, Eric P. Xing, Zhiting Hu

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

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.

Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley

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

2023

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley

CoRR, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.

An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley

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.

Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

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

2022

Improving Out-of-Distribution Robustness via Selective Augmentation.

Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn

Proceedings of the International Conference on Machine Learning, 2022

Controlling Bias Exposure for Fair Interpretable Predictions.

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.

Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

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