Shuyuan Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
10
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | WWW | Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. | Da Xu, Danqing Zhang, Chuanwei Ruan, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Haixun Wang |
| 2024 | CIKM | Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. | Da Xu, Danqing Zhang, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Cindy Liang |
| 2024 | EACL | UP5: Unbiased Foundation Model for Fairness-aware Recommendation. | Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang |
| 2024 | EACL | Language is All a Graph Needs. | Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang |
| 2024 | ECIR | GenRec: Large Language Model for Generative Recommendation. | Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang |
| 2024 | SIGIR | IDGenRec: LLM-RecSys Alignment with Textual ID Learning. | Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang |
| 2024 | SIGIR | OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. | Shuyuan Xu, Wenyue Hua, Yongfeng Zhang |
| 2023 | ICTIR | Causal Collaborative Filtering. | Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang |
| 2023 | RecSys | Tutorial on Large Language Models for Recommendation. | Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang |
| 2023 | WWW | 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 Espn-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 Kk-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 R. 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 |
| 2023 | WSDM | Counterfactual Collaborative Reasoning. | Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang |
| 2022 | CIKM | Dynamic Causal Collaborative Filtering. | Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang |
| 2022 | RecSys | Fairness-aware Federated Matrix Factorization. | Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amlie Marian |
| 2022 | WWW | 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 |
| 2021 | CIKM | Counterfactual Explainable Recommendation. | Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang |
| 2021 | ICTAI | KCC Method: Unknown Intrusion Detection Based on Open Set Recognition. | Shuyuan Xu, Linsen Li, Hangjun Yang, Junhua Tang |
| 2021 | WWW | Efficient Non-Sampling Knowledge Graph Embedding. | Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang |
| 2021 | SIGIR | 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 |
| 2021 | SIGIR | Towards Personalized Fairness based on Causal Notion. | Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang |
| 2021 | SIGIR | FedCT: Federated Collaborative Transfer for Recommendation. | Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amlie Marian |
| 2021 | SIGIR | Learning Causal Explanations for Recommendation. | Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Xu Chen, Yongfeng Zhang |
| 2020 | IJCAI | HID: Hierarchical Multiscale Representation Learning for Information Diffusion. | Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia |
| 2020 | SIGIR | 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 |
| 2020 | SIGIR | Learning Personalized Risk Preferences for Recommendation. | Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang |
| 2019 | WWW | Maximizing Marginal Utility per Dollar for Economic Recommendation. | Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang |