Combining Contextual Information for Subspace Based Hyperspectral Image Classification. - Shuyuan Xu; Jun Li 009 (WHISPERS, 2018)

Maximizing Marginal Utility per Dollar for Economic Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Shijie Geng; Zuohui Fu; Yongfeng Zhang (WWW, 2019)

Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples. - Shuyuan Xu; Jun Li 009; Mahdi Khodadadzadeh; Andrea Marinoni; Paolo Gamba; Bo Li 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

HID: Hierarchical Multiscale Representation Learning for Information Diffusion. - Honglu Zhou; Shuyuan Xu; Zuohui Fu; Gerard de Melo; Yongfeng Zhang; Mubbasir Kapadia (IJCAI, 2020)

Fairness-Aware Explainable Recommendation over Knowledge Graphs. - Zuohui Fu; Yikun Xian; Ruoyuan Gao; Jieyu Zhao 004; Qiaoying Huang; Yingqiang Ge; Shuyuan Xu; Shijie Geng; Chirag Shah 001; Yongfeng Zhang; Gerard de Melo (SIGIR, 2020)

Learning Personalized Risk Preferences for Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Zuohui Fu; Fei Sun 001; Yongfeng Zhang (SIGIR, 2020)

Learning Post-Hoc Causal Explanations for Recommendation. - Shuyuan Xu; Yunqi Li 003; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang (CoRR, 2020)

Counterfactual Explainable Recommendation. - Juntao Tan; Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Xu Chen 017; Yongfeng Zhang (CIKM, 2021)

EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description. - Yanxin Jia; Xiang Chen 005; Shuyuan Xu; Guang Yang 019; Jinxin Cao (DSA, 2021)

ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation. - Guang Yang 019; Xiang Chen 005; Jinxin Cao; Shuyuan Xu; Zhanqi Cui; Chi Yu; Ke Liu (DSA, 2021)

KCC Method: Unknown Intrusion Detection Based on Open Set Recognition. - Shuyuan Xu; Linsen Li; Hangjun Yang; Junhua Tang (ICTAI, 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 (RCAR, 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 (SIGIR, 2021)

Towards Personalized Fairness based on Causal Notion. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Yongfeng Zhang (SIGIR, 2021)

FedCT: Federated Collaborative Transfer for Recommendation. - Shuchang Liu 001; Shuyuan Xu; Wenhui Yu; Zuohui Fu; Yongfeng Zhang; Amélie Marian (SIGIR, 2021)

Efficient Non-Sampling Knowledge Graph Embedding. - Zelong Li; Jianchao Ji; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Chong Chen 001; Yongfeng Zhang (WWW, 2021)

Discrete Knowledge Graph Embedding based on Discrete Optimization. - Yunqi Li 003; Shuyuan Xu; Bo Liu 093; Zuohui Fu; Shuchang Liu 001; Xu Chen 017; Yongfeng Zhang (CoRR, 2021)

Counterfactual Evaluation for Explainable AI. - Yingqiang Ge; Shuchang Liu 001; Zelong Li; Shuyuan Xu; Shijie Geng; Yunqi Li 003; Juntao Tan; Fei Sun 001; Yongfeng Zhang (CoRR, 2021)

Deconfounded Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Shelby Heinecke; Jia Li; Yongfeng Zhang (CoRR, 2021)

Dynamic Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Zuohui Fu; Jianchao Ji; Shelby Heinecke; Yongfeng Zhang (CIKM, 2022)

Fairness-aware Federated Matrix Factorization. - Shuchang Liu 001; Yingqiang Ge; Shuyuan Xu; Yongfeng Zhang; Amélie Marian (RecSys, 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 003; Yongfeng Zhang (WWW, 2022)

Fairness in Recommendation: A Survey. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 001; Yongfeng Zhang (CoRR, 2022)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 001; Zuohui Fu; Juntao Tan; Zelong Li; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang (CoRR, 2022)

Causal Structure Learning with Recommendation System. - Shuyuan Xu; Da Xu; Evren Körpeoglu; Sushant Kumar; Stephen D. Guo; Kannan Achan; Yongfeng Zhang (CoRR, 2022)

A Parameter-Driven Method for Modeling Bridge Defects through IFC. - Shuyuan Xu; Jun Wang 055; Xiangyu Wang 001; Peng Wu 011; Wenchi Shou; Chao Liu (J. Comput. Civ. Eng., 2022)

Causal Collaborative Filtering. - Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Zuohui Fu; Xu Chen 017; Yongfeng Zhang (ICTIR, 2023)

OpenAGI: When LLM Meets Domain Experts. - Yingqiang Ge; Wenyue Hua; Kai Mei; Jianchao Ji; Juntao Tan; Shuyuan Xu; Zelong Li; Yongfeng Zhang (NeurIPS, 2023)

Tutorial on Large Language Models for Recommendation. - Wenyue Hua; Lei Li 042; Shuyuan Xu; Li Chen 009; Yongfeng Zhang (RecSys, 2023)

How to Index Item IDs for Recommendation Foundation Models. - Wenyue Hua; Shuyuan Xu; Yingqiang Ge; Yongfeng Zhang (SIGIR-AP, 2023)

Counterfactual Collaborative Reasoning. - Jianchao Ji; Zelong Li; Shuyuan Xu; Max Xiong; Juntao Tan; Yingqiang Ge; Hao Wang 014; Yongfeng Zhang (WSDM, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation. - Wenyue Hua; Yingqiang Ge; Shuyuan Xu; Jianchao Ji; Yongfeng Zhang (CoRR, 2023)

OpenP5: Benchmarking Foundation Models for Recommendation. - Shuyuan Xu; Wenyue Hua; Yongfeng Zhang (CoRR, 2023)

Natural Language is All a Graph Needs. - Ruosong Ye; Caiqi Zhang; Runhui Wang; Shuyuan Xu; Yongfeng Zhang (CoRR, 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)

Efficient Non-Sampling Graph Neural Networks. - Jianchao Ji; Zelong Li; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Yongfeng Zhang (Inf., 2023)

Fairness in Recommendation: Foundations, Methods, and Applications. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 006; Yongfeng Zhang (ACM Trans. Intell. Syst. Technol., 2023)

Deconfounded Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Shelby Heinecke; Vena Jia Li; Yongfeng Zhang (Trans. Recomm. Syst., 2023)

Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. - Da Xu; Danqing Zhang; Lingling Zheng; Bo Yang 062; Guangyu Yang; Shuyuan Xu; Cindy Liang (CIKM, 2024)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation. - Wenyue Hua; Yingqiang Ge; Shuyuan Xu; Jianchao Ji; Zelong Li; Yongfeng Zhang (EACL (1), 2024)

Language is All a Graph Needs. - Ruosong Ye; Caiqi Zhang; Runhui Wang; Shuyuan Xu; Yongfeng Zhang (EACL (Findings), 2024)

GenRec: Large Language Model for Generative Recommendation. - Jianchao Ji; Zelong Li; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Juntao Tan; Yongfeng Zhang (ECIR (3), 2024)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li; Yongfeng Zhang (SIGIR, 2024)

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. - Shuyuan Xu; Wenyue Hua; Yongfeng Zhang (SIGIR, 2024)

AIOS: LLM Agent Operating System. - Kai Mei; Zelong Li; Shuyuan Xu; Ruosong Ye; Yingqiang Ge; Yongfeng Zhang (CoRR, 2024)

Towards LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li; Yongfeng Zhang (CoRR, 2024)

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. - Shuyuan Xu; Zelong Li; Kai Mei; Yongfeng Zhang (CoRR, 2024)

Survey for Landing Generative AI in Social and E-commerce Recsys - the Industry Perspectives. - Da Xu; Danqing Zhang; Guangyu Yang; Bo Yang; Shuyuan Xu; Lingling Zheng; Cindy Liang (CoRR, 2024)

AutoFlow: Automated Workflow Generation for Large Language Model Agents. - Zelong Li; Shuyuan Xu; Kai Mei; Wenyue Hua; Balaji Rama; Om Raheja; Hao Wang; He Zhu; Yongfeng Zhang (CoRR, 2024)

Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. - Da Xu; Danqing Zhang; Chuanwei Ruan; Lingling Zheng; Bo Yang 062; Guangyu Yang; Shuyuan Xu; Haixun Wang (WWW (Companion Volume), 2025)

Assessing the potential for traffic carbon emission reductions through residential travel mode shifts: insights from massive vehicle trajectory data and scenario simulations. - Shaoying Li; Shaoli Li; Shuyuan Xu; Hanwen Xu; Xuanting Chen; Quan Mu; Zhangzhi Tan (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Computer Vision-Based Intelligent Monitoring of Disruptions due to Construction Machinery Arrival Delay. - Xuzhong Yan; Rui Jin; Hong Zhang; Hui Gao; Shuyuan Xu (J. Comput. Civ. Eng., 2025)

Causal Inference for Recommendation: Foundations, Methods, and Applications. - Shuyuan Xu; Jianchao Ji; Yunqi Li 003; Yingqiang Ge; Juntao Tan; Yongfeng Zhang (ACM Trans. Intell. Syst. Technol., 2025)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 006; Zuohui Fu; Juntao Tan; Zelong Li; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang (Trans. Recomm. Syst., 2025)