Xu Huang - RankMe

37 papers A* 9Misc 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning. AAAI Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2026	J	`jnl`	WESE: weak exploration to strong exploitation for LLM agents. Sci. China Inf. Sci. Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2025	J	`jnl`	A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting. CoRR Cheng He, Xijie Liang, Zengrong Zheng, Patrick P. C. Lee, Xu Huang, Zhaoyi Li, Hong Xie, Defu Lian, Enhong Chen
2025	—	`conf`	ACEBench: A Comprehensive Evaluation of LLM Tool Usage. EMNLP (Findings) Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Yuefeng Huang, Xiangcheng Liu, Xinzhi Wang, Wu Liu
2025	J	`jnl`	ACEBench: Who Wins the Match Point in Tool Learning? CoRR Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Yuefeng Huang, Wulong Liu, Xinzhi Wang, Defu Lian, Baoqun Yin, Yasheng Wang, Wu Liu
2025	J	`jnl`	Advancing and Benchmarking Personalized Tool Invocation for LLMs. CoRR Xu Huang, Yuefeng Huang, Weiwen Liu, Xingshan Zeng, Yasheng Wang, Ruiming Tang, Hong Xie, Defu Lian
2025	J	`jnl`	Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. CoRR Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Wu Ning, Yutai Hou, Xu Huang, Bing Qin, Ting Liu
2025	J	`jnl`	General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data. CoRR Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zengrong Zheng
2025	—	`conf`	HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation. WWW (Companion Volume) Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang
2025	J	`jnl`	NDCG-Consistent Softmax Approximation with Accelerated Convergence. CoRR Yuanhao Pu, Defu Lian, Xiaolong Chen, Xu Huang, Jin Chen, Enhong Chen
2025	J	`jnl`	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. ACM Trans. Inf. Syst. Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2025	J	`jnl`	The Real Barrier to LLM Agent Usability is Agentic ROI. CoRR Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang
2025	J	`jnl`	ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. CoRR Xu Huang, Weiwen Liu, Xingshan Zeng, Yuefeng Huang, Xinlong Hao, Yuxian Wang, Yirong Zeng, Chuhan Wu, Yasheng Wang, Ruiming Tang, Defu Lian
2025	J	`jnl`	ToolACE-R: Tool Learning with Adaptive Self-Refinement. CoRR Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2025	A*	`conf`	ToolACE: Winning the Points of LLM Function Calling. ICLR 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
2025	A*	`conf`	iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use. EMNLP Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu
2024	A*	`conf`	A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
2024	J	`jnl`	CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
2024	Misc	`conf`	Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. ICASSP Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen
2024	J	`jnl`	Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. CoRR Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen
2024	A*	`conf`	Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen
2024	—	`conf`	RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. WWW (Companion Volume) Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
2024	J	`jnl`	RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. CoRR Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
2024	A*	`conf`	RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2024	J	`jnl`	ToolACE: Winning the Points of LLM Function Calling. CoRR 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
2024	J	`jnl`	Understanding the planning of LLM agents: A survey. CoRR Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2024	J	`jnl`	WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2024	J	`jnl`	When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 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
2023	J	`jnl`	A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
2023	A*	`conf`	Cooperative Retriever and Ranker in Deep Recommenders. WWW Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2023	J	`jnl`	RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2023	A*	`conf`	RecStudio: Towards a Highly-Modularized Recommender System. SIGIR Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen
2023	J	`jnl`	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2023	J	`jnl`	When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
2022	J	`jnl`	Cooperative Retriever and Ranker in Deep Recommenders. CoRR Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2022	A*	`conf`	Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen
2021	J	`jnl`	Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. CoRR Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen