Ruo-Bing Xie

Most-cited papers

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shi Liang, Yining Ye, Kunlun Zhu +15 more
2023International Conference on Learning Representations2,517 citations Open access
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AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang +12 more
2023International Conference on Learning Representations847 citations Open access
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Representation Learning of Knowledge Graphs with Entity Descriptions
Ruo-Bing Xie, Zhiyuan Liu, Jia Jia, Huan-Bo Luan +1 more
2016AAAI Conference on Artificial Intelligence774 citations Open access
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Large Language Models are Zero-Shot Rankers for Recommender Systems
Yupeng Hou, Jun-Jie Zhang, Zihan Lin, Hongyu Lu +3 more
2023European Conference on Information Retrieval674 citations Open access
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Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Jun-Jie Zhang, Ruo-Bing Xie, Yupeng Hou, W. Zhao +2 more
2023ACM Trans. Inf. Syst.423 citations Open access
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Iterative Entity Alignment via Joint Knowledge Embeddings
Hao Zhu, Ruo-Bing Xie, Zhiyuan Liu, Maosong Sun
2017International Joint Conference on Artificial Intelligence406 citations Open access
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Representation Learning of Knowledge Graphs with Hierarchical Types
Ruo-Bing Xie, Zhiyuan Liu, Maosong Sun
2016International Joint Conference on Artificial Intelligence331 citations
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Image-embodied Knowledge Representation Learning
Ruo-Bing Xie, Zhiyuan Liu, Tat-Seng Chua, Huan-Bo Luan +1 more
2016International Joint Conference on Artificial Intelligence331 citations Open access
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Personalized Transfer of User Preferences for Cross-domain Recommendation
Yongchun Zhu, Zhenwei Tang, Yu-Dan Liu, Fu-Zhen Zhuang +4 more
2021Web Search and Data Mining263 citations Open access
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AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
Jun-Jie Zhang, Yupeng Hou, Ruo-Bing Xie, Wen-Qi Sun +4 more
2023The Web Conference241 citations Open access
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Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Yongchun Zhu, Ruo-Bing Xie, Fu-Zhen Zhuang, Kai-Kai Ge +4 more
2021Annual International ACM SIGIR Conference on Research and Development in Information Retrieval176 citations Open access
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Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Yongchun Zhu, Kai-Kai Ge, Fu-Zhen Zhuang, Ruo-Bing Xie +4 more
2021Annual International ACM SIGIR Conference on Research and Development in Information Retrieval156 citations Open access
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Contrastive Cross-domain Recommendation in Matching
Ruo-Bing Xie, Qi Liu, Liangdong Wang, Shukai Liu +2 more
2021Knowledge Discovery and Data Mining145 citations Open access
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Multi-view Multi-behavior Contrastive Learning in Recommendation
Yi-Qing Wu, Ruo-Bing Xie, Yongchun Zhu, Xiang Ao +5 more
2022International Conference on Database Systems for Advanced Applications124 citations Open access
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WebCPM: Interactive Web Search for Chinese Long-form Question Answering
Yujia Qin, Zi-Han Cai, Di Jin, Lan Yan +11 more
2023Annual Meeting of the Association for Computational Linguistics123 citations Open access
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Improved Word Representation Learning with Sememes
Yilin Niu, Ruo-Bing Xie, Zhiyuan Liu, Maosong Sun
2017Annual Meeting of the Association for Computational Linguistics116 citations Open access
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Plug-in Diffusion Model for Sequential Recommendation
Haokai Ma, Ruo-Bing Xie, Lei Meng, Xin Chen +3 more
2024AAAI Conference on Artificial Intelligence113 citations
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Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence
Ruo-Bing Xie, Zhiyuan Liu, Maosong Sun
2017AAAI Conference on Artificial Intelligence112 citations Open access
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Hierarchical Reinforcement Learning for Integrated Recommendation
Ruo-Bing Xie, Shaoliang Zhang, Rui Wang, Feng Xia +1 more
2021AAAI Conference on Artificial Intelligence94 citations Open access
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A survey on causal inference for recommendation
Huishi Luo, Fu-Zhen Zhuang, Ruo-Bing Xie, Heng-Shu Zhu +3 more
2023Innovation (Cambridge (Mass.))88 citations Open access
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Curriculum Disentangled Recommendation with Noisy Multi-feedback
Hong L Chen, Yu-Dong Chen, Xin Wang, Ruo-Bing Xie +3 more
2021Neural Information Processing Systems88 citations
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Neural Snowball for Few-Shot Relation Learning
Tianyu Gao, Xu Han, Ruo-Bing Xie, Zhiyuan Liu +3 more
2019AAAI Conference on Artificial Intelligence85 citations Open access
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Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
Ruo-Bing Xie, Zhi-Jie Qiu, Jun Rao, Yi Liu +2 more
2020International Joint Conference on Artificial Intelligence79 citations Open access
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User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Shuokai Li, Ruo-Bing Xie, Yongchun Zhu, Xiang Ao +2 more
2022Annual International ACM SIGIR Conference on Research and Development in Information Retrieval75 citations Open access
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Adversarial Feature Translation for Multi-domain Recommendation
Xiao-Bo Hao, Yu-Dan Liu, Ruo-Bing Xie, Kai-Kai Ge +3 more
2021Knowledge Discovery and Data Mining70 citations
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Knowledge Representation Learning: A Review
Zhi-Yuan Liu, Maosong Sun, Yankai Lin, Ruo-Bing Xie
201668 citations
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Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
Ruidong Wu, Yuan Yao, Xu Han, Ruo-Bing Xie +4 more
2019Conference on Empirical Methods in Natural Language Processing65 citations Open access
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Knowledge Representation Learning: A Quantitative Review
Yankai Lin, Xu Han, Ruo-Bing Xie, Zhiyuan Liu +1 more
2018arXiv.org65 citations
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Triple Sequence Learning for Cross-domain Recommendation
Haokai Ma, Ruo-Bing Xie, Lei Meng, Xin Chen +3 more
2023ACM Trans. Inf. Syst.63 citations Open access
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Connecting Embeddings for Knowledge Graph Entity Typing
Yu Zhao, Anxiang Zhang, Ruo-Bing Xie, Kang Liu +1 more
2020Annual Meeting of the Association for Computational Linguistics62 citations Open access
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Selective Fairness in Recommendation via Prompts
Yi-Qing Wu, Ruo-Bing Xie, Yongchun Zhu, Fu-Zhen Zhuang +4 more
2022Annual International ACM SIGIR Conference on Research and Development in Information Retrieval60 citations Open access
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Negative Can Be Positive: Signed Graph Neural Networks for Recommendation
Junjie Huang, Ruo-Bing Xie, Qi Cao, Hua-Wei Shen +3 more
2023Information Processing & Management59 citations
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Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
Yongchun Zhu, Yu-Dan Liu, Ruo-Bing Xie, Fu-Zhen Zhuang +5 more
2021Knowledge Discovery and Data Mining56 citations Open access
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FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph
Wei Chen, Yi-Qing Wu, Zhao Zhang, Fu-Zhen Zhuang +3 more
2023ACM Trans. Inf. Syst.55 citations Open access
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Personalized Approximate Pareto-Efficient Recommendation
Ruo-Bing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang +2 more
2021The Web Conference53 citations Open access
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Emergent Modularity in Pre-trained Transformers
Zhengyan Zhang, Zhiyuan Zeng, Yan-Kai Lin, Chao-Jun Xiao +6 more
2023Annual Meeting of the Association for Computational Linguistics50 citations Open access
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Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing
Yu Zhao, Han Zhou, Anxiang Zhang, Ruo-Bing Xie +2 more
2023IEEE Transactions on Knowledge and Data Engineering48 citations Open access
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Meta-Information Guided Meta-Learning for Few-Shot Relation Classification
Bo-Wen Dong, Yuan Yao, Ruo-Bing Xie, Tianyu Gao +5 more
2020International Conference on Computational Linguistics47 citations Open access
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UPRec: User-Aware Pre-training for Recommender Systems
Chao-Jun Xiao, Ruo-Bing Xie, Yuan Yao, Zhi-Yuan Liu +3 more
2021arXiv.org46 citations
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Denoising Relation Extraction from Document-level Distant Supervision
Chao-Jun Xiao, Yuan Yao, Ruo-Bing Xie, Xu Han +4 more
2020Conference on Empirical Methods in Natural Language Processing46 citations Open access
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Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network
Ruo-Bing Xie, Qi Liu, Shukai Liu, Ziwei Zhang +3 more
2021IEEE Transactions on Big Data45 citations Open access
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USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Jing Yao, Zhicheng Dou, Ruo-Bing Xie, Yanxiong Lu +2 more
2021International Conference on Information and Knowledge Management45 citations Open access
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Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Zhe-Ni Zeng, Chao-Jun Xiao, Yuan Yao, Ruo-Bing Xie +4 more
2020Frontiers in Big Data45 citations Open access
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Deep Feedback Network for Recommendation
Ruo-Bing Xie, Cheng Ling, Yalong Wang, Rui Wang +2 more
2020International Joint Conference on Artificial Intelligence43 citations Open access
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Iterative Entity Alignment via Knowledge Embeddings
Hao Zhu, Ruo-Bing Xie, Zhiyuan Liu, Maosong Sun
201742 citations
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Prompt Tuning for Discriminative Pre-trained Language Models
Yuan Yao, Bo-Wen Dong, Ao Zhang, Zhengyan Zhang +5 more
2022Findings39 citations Open access
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Understanding WeChat User Preferences and “Wow” Diffusion
Fan-Jin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou +8 more
2021IEEE Transactions on Knowledge and Data Engineering38 citations Open access
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Long Short-Term Temporal Meta-learning in Online Recommendation
Ruo-Bing Xie, Yalong Wang, Rui Wang, Yuanfu Lu +3 more
2021Web Search and Data Mining38 citations Open access
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Lexical Sememe Prediction via Word Embeddings and Matrix Factorization
Ruo-Bing Xie, Xingchi Yuan, Zhiyuan Liu, Maosong Sun
2017International Joint Conference on Artificial Intelligence38 citations Open access
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Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation
Qi Liu, Ruo-Bing Xie, Lei Chen, Shukai Liu +4 more
2020International Conference on Information and Knowledge Management37 citations
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