Xinyi Xu

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Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporeDirección de correo verificada de comp.nus.edu.sg
Chuan-Sheng FooInstitute for Infocomm Research; A*STAR Centre for Frontier AI ResearchDirección de correo verificada de cs.stanford.edu
Zhaoxuan WuNational University of SingaporeDirección de correo verificada de u.nus.edu
Rachael Sim Hwee LingPh.D. candidate, Department of Computer Science, National University of SingaporeDirección de correo verificada de u.nus.edu
Xiaoqiang LinNational University of SingaporeDirección de correo verificada de u.nus.edu
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeDirección de correo verificada de nus.edu.sg
Sebastian Shenghong TayPhD Student, National University of SingaporeDirección de correo verificada de u.nus.edu
Zijian ZhouNational University of SingaporeDirección de correo verificada de u.nus.edu
Patrick JailletDugald C. Jackson Professor, EECS, MITDirección de correo verificada de mit.edu
Trong Nghia HoangAssistant Professor, Washington State UniversityDirección de correo verificada de wsu.edu
Arun VermaSingapore-MIT Alliance for Research and TechnologyDirección de correo verificada de smart.mit.edu
Rui QiaoPhd Student, National University of SingaporeDirección de correo verificada de u.nus.edu
Yehong ZhangPeng Cheng LaboratoryDirección de correo verificada de pcl.ac.cn
Yao ShuGuangdong Lab of AI and Digital Economy (SZ)Dirección de correo verificada de gml.ac.cn
Shuaiqi WangCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Giulia FantiCarnegie Mellon University, ECE DepartmentDirección de correo verificada de andrew.cmu.edu
Lam Chi ThanhPh.D. Student, National University of SingaporeDirección de correo verificada de u.nus.edu

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Xinyi Xu

Ph.D. student, Department of Computer Science, National University of Singapore

Dirección de correo verificada de u.nus.edu - Página principal

data centric-machine learning federated Learning multi-agent systems cooperative game theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Collaborative fairness in federated learning L Lyu, X Xu, Q Wang, H Yu Federated Learning: Privacy and Incentive, 189-204, 2020	201	2020
Gradient driven rewards to guarantee fairness in collaborative machine learning X Xu, L Lyu, X Ma, C Miao, CS Foo, BKH Low Advances in Neural Information Processing Systems 34, 16104-16117, 2021	77	2021
A reputation mechanism is all you need: Collaborative fairness and adversarial robustness in federated learning X Xu, L Lyu Proc. ICML Workshop on Federated Learning for User Privacy and Data …, 2021	75	2021
Validation free and replication robust volume-based data valuation X Xu, Z Wu, CS Foo, BKH Low Advances in Neural Information Processing Systems 34, 10837-10848, 2021	61	2021
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards SS Tay, X Xu, CS Foo, BKH Low 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022	44	2022
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges RHL Sim, X Xu, BKH Low. 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022	43	2022
Towards building a robust and fair federated learning system X Xu, L Lyu arXiv preprint arXiv:2011.10464, 2020	41	2020
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games L Agussurja, X Xu, BKH Low 39th International Conference on Machine Learning 162, 180-196, 2022	13	2022
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery X Xu, Z Wu, A Verma, CS Foo, BKH Low 26th International Conference on Artificial Intelligence and Statistics …, 2023	10	2023
Probably approximate Shapley fairness with applications in machine learning Z Zhou, X Xu, RHL Sim, CS Foo, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5910-5918, 2023	9	2023
Fair yet Asymptotically Equal Collaborative Learning X Lin, X Xu, SK Ng, CS Foo, BKH Low 40th International Conference on Machine Learning (ICML-23), 2023	8	2023
Collaborative causal inference with fair incentives R Qiao, X Xu, BKH Low 40th International Conference on Machine Learning (ICML-23), 2023	6	2023
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection X Xu, T Huang, P Wei, A Narayan, TY Leong Proceedings of the 1st Workshop on Bridging the Gap Between AI Planning and …, 2020	6	2020
Incentives in Private Collaborative Machine Learning RHL Sim, Y Zhang, TN Hoang, X Xu, BKH Low, P Jaillet Advances in Neural Information Processing Systems 36: 37th Annual Conference …, 2023	3	2023
Fairness in federated learning X Lin, X Xu, Z Wu, RHL Sim, SK Ng, CS Foo, P Jaillet, TN Hoang, ... Federated Learning, 143-160, 2024	1	2024
Data valuation in federated learning Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ... Federated Learning, 281-296, 2024	1	2024
Distributionally Robust Data Valuation X Lin, X Xu, Z Wu, SK Ng, BKH Low Forty-first International Conference on Machine Learning, 2024		2024
Data-Centric AI in the Age of Large Language Models X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ... arXiv preprint arXiv:2406.14473, 2024		2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning Z Zhou, X Lin, X Xu, A Prakash, D Rus, BKH Low arXiv preprint arXiv:2405.14899, 2024		2024
Data Distribution Valuation X Xu, S Wang, CS Foo, BKH Low, G Fanti Data-centric Machine Learning Research (DMLR) Workshop at ICLR 2024, 2024		2024

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