Shuyuan Xu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 63

Top Topics

Collaborative Filtering

Recommender Systems

Top Venues

Publications

Shuyuan Xu, Zelong Li, Kai Mei, Yongfeng Zhang
AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. CoRR (2024)
Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. EACL (1) (2024)
Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
GenRec: Large Language Model for Generative Recommendation. ECIR (3) (2024)
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
IDGenRec: LLM-RecSys Alignment with Textual ID Learning. SIGIR (2024)
Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
Language is All a Graph Needs. EACL (Findings) (2024)
Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang
AIOS: LLM Agent Operating System. CoRR (2024)
Da Xu, Danqing Zhang, Guangyu Yang, Bo Yang, Shuyuan Xu, Lingling Zheng, Cindy Liang
Survey for Landing Generative AI in Social and E-commerce Recsys - the Industry Perspectives. CoRR (2024)
Zelong Li, Shuyuan Xu, Kai Mei, Wenyue Hua, Balaji Rama, Om Raheja, Hao Wang, He Zhu, Yongfeng Zhang
AutoFlow: Automated Workflow Generation for Large Language Model Agents. CoRR (2024)
Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. SIGIR (2024)
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
Towards LLM-RecSys Alignment with Textual ID Learning. CoRR (2024)
Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
OpenP5: Benchmarking Foundation Models for Recommendation. CoRR (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
GenRec: Large Language Model for Generative Recommendation. CoRR (2023)
Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR (2023)
Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang
OpenAGI: When LLM Meets Domain Experts. CoRR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
Counterfactual Collaborative Reasoning. WSDM (2023)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP (2023)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
How to Index Item IDs for Recommendation Foundation Models. CoRR (2023)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang
LLM as OS (llmao), Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. CoRR (2023)
Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
Natural Language is All a Graph Needs. CoRR (2023)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. ICTIR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
Efficient Non-Sampling Graph Neural Networks. Inf. 14 (8) (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
Counterfactual Collaborative Reasoning. CoRR (2023)
Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. CoRR (2023)
Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang
Tutorial on Large Language Models for Recommendation. RecSys (2023)
Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
OpenAGI: When LLM Meets Domain Experts. NeurIPS (2023)
Shuyuan Xu, Juntao Tan, Shelby Heinecke, Vena Jia Li, Yongfeng Zhang
Deconfounded Causal Collaborative Filtering. Trans. Recomm. Syst. 1 (4) (2023)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR (2022)
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
Causal Structure Learning with Recommendation System. CoRR (2022)
Shuyuan Xu, Jun Wang, Xiangyu Wang, Peng Wu, Wenchi Shou, Chao Liu
A Parameter-Driven Method for Modeling Bridge Defects through IFC. J. Comput. Civ. Eng. 36 (4) (2022)
Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang
Dynamic Causal Collaborative Filtering. CIKM (2022)
Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang
Dynamic Causal Collaborative Filtering. CoRR (2022)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: A Survey. CoRR (2022)
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian
Fairness-aware Federated Matrix Factorization. RecSys (2022)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW (2022)
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
A Survey on Trustworthy Recommender Systems. CoRR (2022)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CoRR (2021)
Yanxin Jia, Xiang Chen, Shuyuan Xu, Guang Yang, Jinxin Cao
EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description. DSA (2021)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
Towards Personalized Fairness based on Causal Notion. CoRR (2021)
Xin Shi, Shuyuan Xu, Pengjie Qin, Gaojie He, Zhengli Leng
Prediction Method of Lower Limb Muscle Fatigue Based on Combining Random Forest and Gated Recurrent Unit Neural Network. RCAR (2021)
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang
Counterfactual Evaluation for Explainable AI. CoRR (2021)
Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian
FedCT: Federated Collaborative Transfer for Recommendation. SIGIR (2021)
Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation. CoRR (2021)
Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. SIGIR (2021)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CIKM (2021)
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
Efficient Non-Sampling Knowledge Graph Embedding. CoRR (2021)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. CoRR (2021)
Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang
Deconfounded Causal Collaborative Filtering. CoRR (2021)
Shuyuan Xu, Linsen Li, Hangjun Yang, Junhua Tang
KCC Method: Unknown Intrusion Detection Based on Open Set Recognition. ICTAI (2021)
Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang
Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR (2021)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
Towards Personalized Fairness based on Causal Notion. SIGIR (2021)
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
Efficient Non-Sampling Knowledge Graph Embedding. WWW (2021)
Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation. DSA (2021)
Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
Learning Post-Hoc Causal Explanations for Recommendation. CoRR (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
Learning Personalized Risk Preferences for Recommendation. CoRR (2020)
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR (2020)
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia
HID: Hierarchical Multiscale Representation Learning for Information Diffusion. IJCAI (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
Learning Personalized Risk Preferences for Recommendation. SIGIR (2020)
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang
Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW (2019)
Shuyuan Xu, Jun Li, Mahdi Khodadadzadeh, Andrea Marinoni, Paolo Gamba, Bo Li
Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (4) (2019)
Shuyuan Xu, Jun Li
Combining Contextual Information for Subspace Based Hyperspectral Image Classification. WHISPERS (2018)