Shuyuan Xu

According to our database, Shuyuan Xu authored at least 46 papers between 2018 and 2024.

Collaborative distances:

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

2024

Towards LLM-RecSys Alignment with Textual ID Learning.

Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang

CoRR, 2024

AIOS: LLM Agent Operating System.

Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang

CoRR, 2024

GenRec: Large Language Model for Generative Recommendation.

Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

Proceedings of the Advances in Information Retrieval, 2024

Language is All a Graph Needs.

Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.

Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Deconfounded Causal Collaborative Filtering.

Shuyuan Xu, Juntao Tan, Shelby Heinecke, Vena Jia Li, Yongfeng Zhang

Trans. Recomm. Syst., December, 2023

Fairness in Recommendation: Foundations, Methods, and Applications.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

ACM Trans. Intell. Syst. Technol., October, 2023

Efficient Non-Sampling Graph Neural Networks.

Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

Inf., 2023

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem.

Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang

CoRR, 2023

Natural Language is All a Graph Needs.

Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang

CoRR, 2023

OpenP5: Benchmarking Foundation Models for Recommendation.

Shuyuan Xu, Wenyue Hua, Yongfeng Zhang

CoRR, 2023

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.

Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang

CoRR, 2023

OpenAGI: When LLM Meets Domain Experts.

Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang

CoRR, 2023

Causal Inference for Recommendation: Foundations, Methods and Applications.

Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

CoRR, 2023

Tutorials at The Web Conference 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

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Counterfactual Collaborative Reasoning.

Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

How to Index Item IDs for Recommendation Foundation Models.

Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Tutorial on Large Language Models for Recommendation.

Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

OpenAGI: When LLM Meets Domain Experts.

Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Collaborative Filtering.

Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

2022

A Parameter-Driven Method for Modeling Bridge Defects through IFC.

Shuyuan Xu, Jun Wang, Xiangyu Wang, Peng Wu, Wenchi Shou, Chao Liu

J. Comput. Civ. Eng., 2022

Causal Structure Learning with Recommendation System.

Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang

CoRR, 2022

A Survey on Trustworthy Recommender Systems.

Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang

CoRR, 2022

Fairness in Recommendation: A Survey.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

CoRR, 2022

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.

Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang

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

Fairness-aware Federated Matrix Factorization.

Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Dynamic Causal Collaborative Filtering.

Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Deconfounded Causal Collaborative Filtering.

Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang

CoRR, 2021

Counterfactual Evaluation for Explainable AI.

Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang

CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.

Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang

CoRR, 2021

Efficient Non-Sampling Knowledge Graph Embedding.

Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

FedCT: Federated Collaborative Transfer for Recommendation.

Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Towards Personalized Fairness based on Causal Notion.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation.

Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Prediction Method of Lower Limb Muscle Fatigue Based on Combining Random Forest and Gated Recurrent Unit Neural Network.

Xin Shi, Shuyuan Xu, Pengjie Qin, Gaojie He, Zhengli Leng

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

KCC Method: Unknown Intrusion Detection Based on Open Set Recognition.

Shuyuan Xu, Linsen Li, Hangjun Yang, Junhua Tang

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation.

Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description.

Yanxin Jia, Xiang Chen, Shuyuan Xu, Guang Yang, Jinxin Cao

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Counterfactual Explainable Recommendation.

Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Learning Post-Hoc Causal Explanations for Recommendation.

Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang

CoRR, 2020

Learning Personalized Risk Preferences for Recommendation.

Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Fairness-Aware Explainable Recommendation over Knowledge Graphs.

Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

HID: Hierarchical Multiscale Representation Learning for Information Diffusion.

Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples.

Shuyuan Xu, Jun Li, Mahdi Khodadadzadeh, Andrea Marinoni, Paolo Gamba, Bo Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Maximizing Marginal Utility per Dollar for Economic Recommendation.

Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 2019

2018

Combining Contextual Information for Subspace Based Hyperspectral Image Classification.

Shuyuan Xu, Jun Li

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018