Meta-learning with an Adaptive Task Scheduler. - Huaxiu Yao; Yu Wang 170; Ying Wei 001; Peilin Zhao; Mehrdad Mahdavi; Defu Lian; Chelsea Finn (NeurIPS, 2021)

Controlling Bias Exposure for Fair Interpretable Predictions. - Zexue He; Yu Wang 170; Julian J. McAuley; Bodhisattwa Prasad Majumder (EMNLP (Findings), 2022)

Improving Out-of-Distribution Robustness via Selective Augmentation. - Huaxiu Yao; Yu Wang 170; Sai Li 005; Linjun Zhang; Weixin Liang; James Zou 001; Chelsea Finn (ICML, 2022)

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. - Zexue He; Yu Wang 170; An Yan 003; Yao Liu 017; Eric Y. Chang; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (EMNLP, 2023)

Learning Concise and Descriptive Attributes for Visual Recognition. - An Yan 003; Yu Wang 170; Yiwu Zhong; Chengyu Dong; Zexue He; Yujie Lu; William Yang Wang; Jingbo Shang; Julian J. McAuley (ICCV, 2023)

Interpretable Outlier Summarization. - Yu Wang 170; Lei Cao 004; Yizhou Yan; Samuel Madden 001 (CoRR, 2023)

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. - An Yan 003; Yu Wang 170; Yiwu Zhong; Zexue He; Petros Karypis; Zihan Wang 001; Chengyu Dong; Amilcare Gentili; Chun-Nan Hsu; Jingbo Shang; Julian J. McAuley (CoRR, 2023)

AutoOD: Automatic Outlier Detection. - Lei Cao 004; Yizhou Yan; Yu Wang 170; Samuel Madden 001; Elke A. Rundensteiner (Proc. ACM Manag. Data, 2023)

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. - Yu Wang 170; Zexue He; Zhankui He; Hao Xu; Julian J. McAuley (AAAI, 2024)

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding. - Guangyi Liu 005; Yu Wang 170; Zeyu Feng; Qiyu Wu 001; Liping Tang; Yuan Gao; Zhen Li 026; Shuguang Cui; Julian J. McAuley; Zichao Yang; Eric P. Xing; Zhiting Hu (ICML, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 170; Yifan Gao 001; Xiusi Chen; Haoming Jiang; Shiyang Li; Jingfeng Yang 001; Qingyu Yin; Zheng Li 018; Xian Li; Bing Yin; Jingbo Shang; Julian J. McAuley (ICML, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 170; Xiusi Chen; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

LVCHAT: Facilitating Long Video Comprehension. - Yu Wang 170; Zeyuan Zhang; Julian J. McAuley; Zexue He (CoRR, 2024)

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding. - Guangyi Liu 005; Yu Wang 170; Zeyu Feng; Qiyu Wu 001; Liping Tang; Yuan Gao; Zhen Li 026; Shuguang Cui; Julian J. McAuley; Eric P. Xing; Zichao Yang; Zhiting Hu (CoRR, 2024)

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. - Junda Wu; Xintong Li 001; Tong Yu 001; Yu Wang 170; Xiang Chen; Jiuxiang Gu; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

A Fashion Item Recommendation Model in Hyperbolic Space. - Ryotaro Shimizu; Yu Wang 170; Masanari Kimura; Yuki Hirakawa; Takashi Wada 001; Yuki Saito 002; Julian J. McAuley (CoRR, 2024)

Self-Updatable Large Language Models with Parameter Integration. - Yu Wang 170; Xinshuang Liu; Xiusi Chen; Sean O'Brien; Junda Wu; Julian J. McAuley (CoRR, 2024)

Outlier Summarization via Human Interpretable Rules. - Yuhao Deng; Yu Wang 170; Lei Cao 004; Lianpeng Qiao; Yuping Wang; Xu Jingzhe; Yizhou Yan; Samuel Madden 001 (Proc. VLDB Endow., 2024)

Self-Updatable Large Language Models by Integrating Context into Model Parameters. - Yu Wang 170; Xinshuang Liu; Xiusi Chen; Sean O'Brien; Junda Wu; Julian J. McAuley (ICLR, 2025)

Large Scale Knowledge Washing. - Yu Wang 170; Ruihan Wu; Zexue He; Xiusi Chen; Julian J. McAuley (ICLR, 2025)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. - Ryotaro Shimizu; Takashi Wada 001; Yu Wang 170; Johannes Kruse 002; Sean O'Brien; Sai Htaung Kham; Linxin Song; Yuya Yoshikawa; Yuki Saito 002; Fugee Tsung; Masayuki Goto; Julian J. McAuley (WWW, 2025)

Towards LifeSpan Cognitive Systems. - Yu Wang 170; Chi Han; Tongtong Wu; Xiaoxin He; Wangchunshu Zhou; Nafis Sadeq; Xiusi Chen; Zexue He; Wei Wang; Gholamreza Haffari; Heng Ji 001; Julian J. McAuley (Trans. Mach. Learn. Res., 2025)

M+: Extending MemoryLLM with Scalable Long-Term Memory. - Yu Wang 170; Dmitry Krotov; Yuanzhe Hu; Yifan Gao 001; Wangchunshu Zhou; Julian J. McAuley; Dan Gutfreund; Rogério Feris; Zexue He (CoRR, 2025)

LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation. - Hyunsik Jeon; Satoshi Koide; Yu Wang 170; Zhankui He; Julian J. McAuley (CoRR, 2025)