Shuyuan Xu - RankMe

73 papers A* 12A 6B 1Misc 1Journal 42Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wavelet-Based Diffusion Model for Low-Light Image Enhancement under Nonuniform Illumination in Tunnel Environments. J. Comput. Civ. Eng. Yang Su, Jun Wang, Wenchi Shou, Yuan Yao, Aobo Yue, Shuyuan Xu
2026	J	`jnl`	Wideband DOA estimation based on time-domain energy focusing. Digit. Signal Process. Yuxiang Jiang, Qing Shen, Kejiang Wu, Zexiang Zhang, Chenxi Liao, Shuyuan Xu
2025	J	`jnl`	A Survey on Trustworthy Recommender Systems. Trans. Recomm. Syst. Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
2025	J	`jnl`	Assessing the potential for traffic carbon emission reductions through residential travel mode shifts: insights from massive vehicle trajectory data and scenario simulations. Int. J. Appl. Earth Obs. Geoinformation Shaoying Li, Shaoli Li, Shuyuan Xu, Hanwen Xu, Xuanting Chen, Quan Mu, Zhangzhi Tan
2025	J	`jnl`	Causal Inference for Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2025	J	`jnl`	Causal Structure Learning for Recommender System. Trans. Recomm. Syst. Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
2025	J	`jnl`	Computer Vision-Based Intelligent Monitoring of Disruptions due to Construction Machinery Arrival Delay. J. Comput. Civ. Eng. Xuzhong Yan, Rui Jin, Hong Zhang, Hui Gao, Shuyuan Xu
2025	—	`conf`	Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. WWW (Companion Volume) Da Xu, Danqing Zhang, Chuanwei Ruan, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Haixun Wang
2024	J	`jnl`	AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. CoRR Shuyuan Xu, Zelong Li, Kai Mei, Yongfeng Zhang
2024	J	`jnl`	AIOS: LLM Agent Operating System. CoRR Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang
2024	J	`jnl`	AutoFlow: Automated Workflow Generation for Large Language Model Agents. CoRR Zelong Li, Shuyuan Xu, Kai Mei, Wenyue Hua, Balaji Rama, Om Raheja, Hao Wang, He Zhu, Yongfeng Zhang
2024	—	`conf`	GenRec: Large Language Model for Generative Recommendation. ECIR (3) Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2024	A*	`conf`	IDGenRec: LLM-RecSys Alignment with Textual ID Learning. SIGIR Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
2024	—	`conf`	Language is All a Graph Needs. EACL (Findings) Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
2024	A*	`conf`	OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. SIGIR Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
2024	J	`jnl`	Survey for Landing Generative AI in Social and E-commerce Recsys - the Industry Perspectives. CoRR Da Xu, Danqing Zhang, Guangyu Yang, Bo Yang, Shuyuan Xu, Lingling Zheng, Cindy Liang
2024	J	`jnl`	Towards LLM-RecSys Alignment with Textual ID Learning. CoRR Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
2024	A	`conf`	Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. CIKM Da Xu, Danqing Zhang, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Cindy Liang
2024	—	`conf`	UP5: Unbiased Foundation Model for Fairness-aware Recommendation. EACL (1) Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang
2023	Misc	`conf`	Causal Collaborative Filtering. ICTIR Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
2023	J	`jnl`	Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2023	A	`conf`	Counterfactual Collaborative Reasoning. WSDM Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
2023	J	`jnl`	Counterfactual Collaborative Reasoning. CoRR Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
2023	J	`jnl`	Deconfounded Causal Collaborative Filtering. Trans. Recomm. Syst. Shuyuan Xu, Juntao Tan, Shelby Heinecke, Vena Jia Li, Yongfeng Zhang
2023	J	`jnl`	Efficient Non-Sampling Graph Neural Networks. Inf. Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2023	J	`jnl`	Fairness in Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
2023	J	`jnl`	GenRec: Large Language Model for Generative Recommendation. CoRR Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2023	—	`conf`	How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2023	J	`jnl`	How to Index Item IDs for Recommendation Foundation Models. CoRR Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2023	J	`jnl`	LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. CoRR Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang
2023	J	`jnl`	Natural Language is All a Graph Needs. CoRR Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
2023	A*	`conf`	OpenAGI: When LLM Meets Domain Experts. NeurIPS Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
2023	J	`jnl`	OpenAGI: When LLM Meets Domain Experts. CoRR Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
2023	J	`jnl`	OpenP5: Benchmarking Foundation Models for Recommendation. CoRR Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
2023	A	`conf`	Tutorial on Large Language Models for Recommendation. RecSys Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 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	J	`jnl`	UP5: Unbiased Foundation Model for Fairness-aware Recommendation. CoRR Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang
2022	J	`jnl`	A Parameter-Driven Method for Modeling Bridge Defects through IFC. J. Comput. Civ. Eng. Shuyuan Xu, Jun Wang, Xiangyu Wang, Peng Wu, Wenchi Shou, Chao Liu
2022	J	`jnl`	A Survey on Trustworthy Recommender Systems. CoRR Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
2022	J	`jnl`	Causal Structure Learning with Recommendation System. CoRR Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang
2022	A	`conf`	Dynamic Causal Collaborative Filtering. CIKM Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang
2022	J	`jnl`	Dynamic Causal Collaborative Filtering. CoRR Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang
2022	J	`jnl`	Fairness in Recommendation: A Survey. CoRR Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
2022	A	`conf`	Fairness-aware Federated Matrix Factorization. RecSys Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian
2022	A*	`conf`	Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
2022	J	`jnl`	Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
2021	J	`jnl`	Causal Collaborative Filtering. CoRR Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
2021	—	`conf`	ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation. DSA Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu
2021	J	`jnl`	ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation. CoRR Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu
2021	J	`jnl`	Counterfactual Evaluation for Explainable AI. CoRR Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang
2021	A	`conf`	Counterfactual Explainable Recommendation. CIKM Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
2021	J	`jnl`	Counterfactual Explainable Recommendation. CoRR Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
2021	J	`jnl`	Deconfounded Causal Collaborative Filtering. CoRR Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang
2021	J	`jnl`	Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang
2021	—	`conf`	EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description. DSA Yanxin Jia, Xiang Chen, Shuyuan Xu, Guang Yang, Jinxin Cao
2021	A*	`conf`	Efficient Non-Sampling Knowledge Graph Embedding. WWW Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
2021	J	`jnl`	Efficient Non-Sampling Knowledge Graph Embedding. CoRR Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
2021	A*	`conf`	FedCT: Federated Collaborative Transfer for Recommendation. SIGIR Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian
2021	A*	`conf`	HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. SIGIR Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang
2021	B	`conf`	KCC Method: Unknown Intrusion Detection Based on Open Set Recognition. ICTAI Shuyuan Xu, Linsen Li, Hangjun Yang, Junhua Tang
2021	—	`conf`	Learning Causal Explanations for Recommendation. CSR-Sim4IR@SIGIR Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Xu Chen, Yongfeng Zhang
2021	—	`conf`	Prediction Method of Lower Limb Muscle Fatigue Based on Combining Random Forest and Gated Recurrent Unit Neural Network. RCAR Xin Shi, Shuyuan Xu, Pengjie Qin, Gaojie He, Zhengli Leng
2021	A*	`conf`	Towards Personalized Fairness based on Causal Notion. SIGIR Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2021	J	`jnl`	Towards Personalized Fairness based on Causal Notion. CoRR Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2020	A*	`conf`	Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
2020	J	`jnl`	Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
2020	A*	`conf`	HID: Hierarchical Multiscale Representation Learning for Information Diffusion. IJCAI Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia
2020	A*	`conf`	Learning Personalized Risk Preferences for Recommendation. SIGIR Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
2020	J	`jnl`	Learning Personalized Risk Preferences for Recommendation. CoRR Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
2020	J	`jnl`	Learning Post-Hoc Causal Explanations for Recommendation. CoRR Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
2019	J	`jnl`	Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Shuyuan Xu, Jun Li, Mahdi Khodadadzadeh, Andrea Marinoni, Paolo Gamba, Bo Li
2019	A*	`conf`	Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang
2018	—	`conf`	Combining Contextual Information for Subspace Based Hyperspectral Image Classification. WHISPERS Shuyuan Xu, Jun Li