Yu Wang

According to our database, Yu Wang authored at least 33 papers between 2021 and 2026.

Collaborative distances:

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

2026

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation.

Shijun Li, Wooseong Yang, Yu Wang, Tianxin Wei, Joydeep Ghosh

CoRR, May, 2026

CocoaBench: Evaluating Unified Digital Agents in the Wild.

Shibo Hao, Zhining Zhang, Zhiqi Liang, Tianyang Liu, Yuheng Zha, Qiyue Gao, Jixuan Chen, Zilong Wang, Zhoujun Cheng, Haoxiang Zhang, Junli Wang, Hexi Jin, Boyuan Zheng, Kun Zhou, Yu Wang, Feng Yao, Licheng Liu, Yijiang Li, Zhifei Li, Zhengtao Han, Pracha Promthaw, Tommaso Cerruti, Xiaohan Fu, Ziqiao Ma, Jingbo Shang, Lianhui Qin, Julian J. McAuley, Eric P. Xing, Zhengzhong Liu, Rupesh Kumar Srivastava, Zhiting Hu

CoRR, April, 2026

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

Peng Xia, Jianwen Chen, Hanyang Wang, Jiaqi Liu, Kaide Zeng, Yu Wang, Siwei Han, Yiyang Zhou, Xujiang Zhao, Haifeng Chen, Zeyu Zheng, Cihang Xie, Huaxiu Yao

CoRR, February, 2026

Reliable and Responsible Foundation Models: A Comprehensive Survey.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

CoRR, February, 2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.

Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu

CoRR, February, 2026

Agentic Reasoning for Large Language Models.

Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He

CoRR, January, 2026

2025

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions.

Yuanzhe Hu, Yu Wang, Julian J. McAuley

CoRR, July, 2025

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

Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley

CoRR, March, 2025

Reliable and Responsible Foundation Models.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

Trans. Mach. Learn. Res., 2025

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

Trans. Mach. Learn. Res., 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Large Scale Knowledge Washing.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Outlier Summarization via Human Interpretable Rules.

Yuhao Deng, Yu Wang, Lei Cao, Lianpeng Qiao, Yuping Wang, Xu Jingzhe, Yizhou Yan, Samuel Madden

Proc. VLDB Endow., March, 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

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

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

AutoOD: Automatic Outlier Detection.

Lei Cao, Yizhou Yan, Yu Wang, Samuel Madden, Elke A. Rundensteiner

Proc. ACM Manag. Data, 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

Interpretable Outlier Summarization.

Yu Wang, Lei Cao, Yizhou Yan, Samuel Madden

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