Xingyue (Stacy) Pu

202020212022202320241 15 44 11

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Xiaowen DongUniversity of OxfordVerified email at robots.ox.ac.uk
Mihai CucuringuDepartment of Statistics and Mathematical Institute, University of Oxford; The Alan Turing InstituteVerified email at stats.ox.ac.uk
Chao ZHANG (张超)University of OxfordVerified email at stats.ox.ac.uk
Stefan ZohrenUniversity of OxfordVerified email at eng.ox.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Siheng ChenShanghai Jiao Tong University & Shanghai AI LaboratoryVerified email at sjtu.edu.cn
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au

Xingyue (Stacy) Pu

Verified email at eng.ox.ac.uk


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning to learn graph topologies XS Pu, T Cao, X Zhang, X Dong, S Chen Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 4249-4262, 2021	30	2021
Kernel-based graph learning from smooth signals: A functional viewpoint XS Pu, SL Chau, X Dong, D Sejdinovic IEEE Transactions on Signal and Information Processing over Networks 7, 192-207, 2021	16	2021
Graph Neural Networks for Forecasting Realized Volatility with Nonlinear Spillover Effects XS Pu, C Zhang, M Cucuringu, X Dong Available at SSRN 4375165, 2023	15*	2023
Graph-based methods for forecasting realized covariances XS Pu, C Zhang, M Cucuringu, X Dong Available at SSRN, 2022	6*	2022
Network Momentum across Asset Classes XS Pu, S Roberts, X Dong, S Zohren Available at SSRN: https://ssrn.com/abstract=4540651, 2023	3*	2023
Learning to Learn Financial Networks for Optimising Momentum Strategies XS Pu, S Zohren, S Roberts, X Dong arXiv preprint arXiv:2308.12212, 2023	1	2023

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