Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. - Jin Chen 008; Defu Lian; Binbin Jin; Xu Huang 008; Kai Zheng 001; Enhong Chen (WWW, 2022)

RecStudio: Towards a Highly-Modularized Recommender System. - Defu Lian; Xu Huang 008; Xiaolong Chen; Jin Chen 008; Xingmei Wang 001; Yankai Wang; Haoran Jin; Rui Fan; Zheng Liu 011; Le Wu; Enhong Chen (SIGIR, 2023)

Cooperative Retriever and Ranker in Deep Recommenders. - Xu Huang 008; Defu Lian; Jin Chen 008; Zheng Liu 011; Xing Xie 001; Enhong Chen (WWW, 2023)

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. - Jin Chen 008; Zheng Liu 011; Xu Huang 008; Chenwang Wu; Qi Liu 003; Gangwei Jiang; Yuanhao Pu; Yuxuan Lei; Xiaolong Chen; Xingmei Wang 001; Defu Lian; Enhong Chen (CoRR, 2023)

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. - Xu Huang 008; Jianxun Lian; Hao Wang 049; Defu Lian; Xing Xie 001 (CoRR, 2023)

RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. - Yuxuan Lei; Jianxun Lian; Jing Yao; Xu Huang 008; Defu Lian; Xing Xie 001 (CoRR, 2023)

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. - Yichao Du; Zhirui Zhang; Linan Yue; Xu Huang 008; Yuqing Zhang; Tong Xu 001; Linli Xu; Enhong Chen (ICASSP, 2024)

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. - Yuanhao Pu; Xiaolong Chen; Xu Huang 008; Jin Chen 008; Defu Lian; Enhong Chen (ICML, 2024)

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. - Yuxuan Lei; Jianxun Lian; Jing Yao; Xu Huang 008; Defu Lian; Xing Xie 001 (KDD, 2024)

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. - Xu Huang 008; Jianxun Lian; Hao Wang 049; Hao Liao; Defu Lian; Xing Xie 001 (WWW, 2024)

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. - Jianxun Lian; Yuxuan Lei; Xu Huang 008; Jing Yao; Wei Xu; Xing Xie 001 (WWW (Companion Volume), 2024)

Understanding the planning of LLM agents: A survey. - Xu Huang 008; Weiwen Liu; Xiaolong Chen; Xingmei Wang 001; Hao Wang 076; Defu Lian; Yasheng Wang; Ruiming Tang; Enhong Chen (CoRR, 2024)

WESE: Weak Exploration to Strong Exploitation for LLM Agents. - Xu Huang 008; Weiwen Liu; Xiaolong Chen; Xingmei Wang 001; Defu Lian; Yasheng Wang; Ruiming Tang; Enhong Chen (CoRR, 2024)

CELA: Cost-Efficient Language Model Alignment for CTR Prediction. - Xingmei Wang 001; Weiwen Liu; Xiaolong Chen; Qi Liu 003; Xu Huang 008; Defu Lian; Xiangyang Li; Yasheng Wang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

When large language models meet personalization: perspectives of challenges and opportunities. - Jin Chen 008; Zheng Liu 011; Xu Huang 008; Chenwang Wu; Qi Liu 003; Gangwei Jiang; Yuanhao Pu; Yuxuan Lei; Xiaolong Chen; Xingmei Wang 001; Kai Zheng 001; Defu Lian; et al. (World Wide Web (WWW), 2024)

ToolACE: Winning the Points of LLM Function Calling. - Weiwen Liu; Xu Huang 008; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang 004; Yuxian Wang; et al. (ICLR, 2025)

HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation. - Xu Huang 008; Xiaolong Chen; Yichao Wang 002; Weiwen Liu; Yang Yang 001; Xingmei Wang 001; Defu Lian; Ruiming Tang (WWW (Companion Volume), 2025)

Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. - Yirong Zeng; Xiao Ding; Yuxian Wang; Weiwen Liu; Wu Ning; Yutai Hou; Xu Huang 008; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

ACEBench: Who Wins the Match Point in Tool Learning? - Chen Chen 017; Xinlong Hao; Weiwen Liu; Xu Huang 008; Xingshan Zeng; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Yuefeng Huang; Wulong Liu; Xinzhi Wang; et al. (CoRR, 2025)

General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data. - Cheng He; Xu Huang 008; Gangwei Jiang; Zhaoyi Li; Defu Lian; Hong Xie 004; Enhong Chen; Xijie Liang; Zengrong Zheng (CoRR, 2025)

ToolACE-R: Tool Learning with Adaptive Self-Refinement. - Xingshan Zeng; Weiwen Liu; Xu Huang 008; Zezhong Wang 004; Lingzhi Wang 001; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Ruiming Tang; Qun Liu 001 (CoRR, 2025)

Advancing and Benchmarking Personalized Tool Invocation for LLMs. - Xu Huang 008; Yuefeng Huang; Weiwen Liu; Xingshan Zeng; Yasheng Wang; Ruiming Tang; Hong Xie 004; Defu Lian (CoRR, 2025)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. - Xu Huang 008; Weiwen Liu; Xingshan Zeng; Yuefeng Huang; Xinlong Hao; Yuxian Wang; Yirong Zeng; Chuhan Wu; Yasheng Wang; Ruiming Tang; Defu Lian (CoRR, 2025)

The Real Barrier to LLM Agent Usability is Agentic ROI. - Weiwen Liu; Jiarui Qin; Xu Huang 008; Xingshan Zeng; Yunjia Xi; Jianghao Lin; Chuhan Wu; Yasheng Wang; Lifeng Shang; Ruiming Tang; Defu Lian; Yong Yu 001; et al. (CoRR, 2025)

NDCG-Consistent Softmax Approximation with Accelerated Convergence. - Yuanhao Pu; Defu Lian; Xiaolong Chen; Xu Huang 008; Jin Chen 008; Enhong Chen (CoRR, 2025)

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. - Xu Huang 008; Jianxun Lian; Yuxuan Lei; Jing Yao; Defu Lian; Xing Xie 001 (ACM Trans. Inf. Syst., 2025)