default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShuyuan Xu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c28]Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang:
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. EACL (1) 2024: 1899-1912- [c27]Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang:
Language is All a Graph Needs. EACL (Findings) 2024: 1955-1973 - [c26]Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
GenRec: Large Language Model for Generative Recommendation. ECIR (3) 2024: 494-502 - [c25]Juntao Tan
, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang:
IDGenRec: LLM-RecSys Alignment with Textual ID Learning. SIGIR 2024: 355-364 - [c24]Shuyuan Xu, Wenyue Hua, Yongfeng Zhang:
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. SIGIR 2024: 386-394 - [i30]Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang:
AIOS: LLM Agent Operating System. CoRR abs/2403.16971 (2024) - [i29]Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang:
Towards LLM-RecSys Alignment with Textual ID Learning. CoRR abs/2403.19021 (2024) - [i28]Shuyuan Xu, Zelong Li, Kai Mei, Yongfeng Zhang:
AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. CoRR abs/2405.06907 (2024) - [i27]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 abs/2406.06475 (2024) - [i26]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 abs/2407.12821 (2024) - 2023
- [j5]Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
Efficient Non-Sampling Graph Neural Networks. Inf. 14(8): 424 (2023) - [j4]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): 95:1-95:48 (2023) - [j3]Shuyuan Xu, Juntao Tan, Shelby Heinecke, Vena Jia Li, Yongfeng Zhang:
Deconfounded Causal Collaborative Filtering. Trans. Recomm. Syst. 1(4): 1-25 (2023) - [c23]Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. ICTIR 2023: 235-245 - [c22]Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang:
OpenAGI: When LLM Meets Domain Experts. NeurIPS 2023 - [c21]Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang:
Tutorial on Large Language Models for Recommendation. RecSys 2023: 1281-1283 - [c20]Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP 2023: 195-204 - [c19]Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang:
Counterfactual Collaborative Reasoning. WSDM 2023: 249-257 - [c18]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: 648-658 - [i25]Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR abs/2301.04016 (2023) - [i24]Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang:
OpenAGI: When LLM Meets Domain Experts. CoRR abs/2304.04370 (2023) - [i23]Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
How to Index Item IDs for Recommendation Foundation Models. CoRR abs/2305.06569 (2023) - [i22]Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang:
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. CoRR abs/2305.12090 (2023) - [i21]Shuyuan Xu, Wenyue Hua, Yongfeng Zhang:
OpenP5: Benchmarking Foundation Models for Recommendation. CoRR abs/2306.11134 (2023) - [i20]Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang:
Counterfactual Collaborative Reasoning. CoRR abs/2307.00165 (2023) - [i19]Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
GenRec: Large Language Model for Generative Recommendation. CoRR abs/2307.00457 (2023) - [i18]Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang:
Natural Language is All a Graph Needs. CoRR abs/2308.07134 (2023) - [i17]Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang:
LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. CoRR abs/2312.03815 (2023) - 2022
- [j2]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) - [c17]Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. CIKM 2022: 2301-2310 - [c16]Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian:
Fairness-aware Federated Matrix Factorization. RecSys 2022: 168-178 - [c15]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: 1018-1027 - [i16]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 abs/2202.08816 (2022) - [i15]Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang:
Fairness in Recommendation: A Survey. CoRR abs/2205.13619 (2022) - [i14]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 abs/2207.12515 (2022) - [i13]Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. CoRR abs/2208.11094 (2022) - [i12]Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang:
Causal Structure Learning with Recommendation System. CoRR abs/2210.10256 (2022) - 2021
- [c14]Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. CIKM 2021: 1784-1793 - [c13]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: 30-41 - [c12]Yanxin Jia, Xiang Chen, Shuyuan Xu, Guang Yang, Jinxin Cao:
EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description. DSA 2021: 42-53 - [c11]Shuyuan Xu, Linsen Li, Hangjun Yang, Junhua Tang:
KCC Method: Unknown Intrusion Detection Based on Open Set Recognition. ICTAI 2021: 1343-1347 - [c10]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: 1016-1022 - [c9]Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian:
FedCT: Federated Collaborative Transfer for Recommendation. SIGIR 2021: 716-725 - [c8]Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
Towards Personalized Fairness based on Causal Notion. SIGIR 2021: 1054-1063 - [c7]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: 2415-2421 - [c6]Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang:
Efficient Non-Sampling Knowledge Graph Embedding. WWW 2021: 1727-1736 - [i11]Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang:
Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR abs/2101.04817 (2021) - [i10]Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. CoRR abs/2102.01868 (2021) - [i9]Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang:
Efficient Non-Sampling Knowledge Graph Embedding. CoRR abs/2104.10796 (2021) - [i8]Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
Towards Personalized Fairness based on Causal Notion. CoRR abs/2105.09829 (2021) - [i7]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 abs/2107.03644 (2021) - [i6]Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. CoRR abs/2108.10539 (2021) - [i5]Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang:
Counterfactual Evaluation for Explainable AI. CoRR abs/2109.01962 (2021) - [i4]Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang:
Deconfounded Causal Collaborative Filtering. CoRR abs/2110.07122 (2021) - 2020
- [c5]Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia:
HID: Hierarchical Multiscale Representation Learning for Information Diffusion. IJCAI 2020: 3385-3391 - [c4]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: 69-78 - [c3]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. SIGIR 2020: 409-418 - [i3]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 abs/2006.02046 (2020) - [i2]Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang:
Learning Post-Hoc Causal Explanations for Recommendation. CoRR abs/2006.16977 (2020) - [i1]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. CoRR abs/2007.02478 (2020)
2010 – 2019
- 2019
- [j1]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): 1265-1278 (2019) - [c2]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang:
Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW 2019: 2757-2763 - 2018
- [c1]Shuyuan Xu, Jun Li:
Combining Contextual Information for Subspace Based Hyperspectral Image Classification. WHISPERS 2018: 1-5
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
