Xu Huang

According to our database, Xu Huang authored at least 17 papers between 2022 and 2024.

Collaborative distances:

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

2024

When large language models meet personalization: perspectives of challenges and opportunities.

Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen

World Wide Web (WWW), July, 2024

ToolACE: Winning the Points of LLM Function Calling.

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

CoRR, 2024

CELA: Cost-Efficient Language Model Alignment for CTR Prediction.

Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang

CoRR, 2024

WESE: Weak Exploration to Strong Exploitation for LLM Agents.

Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen

CoRR, 2024

Understanding the planning of LLM agents: A survey.

Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen

CoRR, 2024

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.

Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.

Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie

Proceedings of the ACM on Web Conference 2024, 2024

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.

Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation.

Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen

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

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks.

Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.

Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie

CoRR, 2023

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.

Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie

CoRR, 2023

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.

Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie

CoRR, 2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.

Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen

CoRR, 2023

Cooperative Retriever and Ranker in Deep Recommenders.

Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023

RecStudio: Towards a Highly-Modularized Recommender System.

Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering.

Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022