Learning to Learn Graph Topologies. - Xingyue Pu; Tianyue Cao; Xiaoyun Zhang; Xiaowen Dong 001; Siheng Chen (NeurIPS, 2021)

Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint. - Xingyue Pu; Siu Lun Chau; Xiaowen Dong 001; Dino Sejdinovic (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. - Chao Zhang; Xingyue Pu; Mihai Cucuringu; Xiaowen Dong 001 (CoRR, 2023)

Network Momentum across Asset Classes. - Xingyue Pu; Stephen J. Roberts; Xiaowen Dong 001; Stefan Zohren (CoRR, 2023)

Learning to Learn Financial Networks for Optimising Momentum Strategies. - Xingyue Pu; Stefan Zohren; Stephen J. Roberts; Xiaowen Dong 001 (CoRR, 2023)