211 citations · 1.3k across the 40 of their papers we have counts for
9 papers · 1 filter
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Liang Peng, Nan Wang, Nicha Dvornek +2
Graph Convolutional Neural Networks (GCNs) are widely used for graph analysis. Specifically, in medical applications, GCNs can be used for disease prediction on a population graph,…
Rank4Class: A Ranking Formulation for Multiclass Classification
Nan Wang, Zhen Qin, Le Yan +4
Multiclass classification (MCC) is a fundamental machine learning problem of classifying each instance into one of a predefined set of classes. In the deep learning era, extensive…
Privacy-Preserving Energy Storage Sharing with Blockchain and Secure Multi-Party Computation
Nan Wang, Sid Chi-Kin Chau, Yue Zhou
Energy storage provides an effective way of shifting temporal energy demands and supplies, which enables significant cost reduction under time-of-use energy pricing plans. Despite…
Comparative Explanations of Recommendations
Aobo Yang, Nan Wang, Renqin Cai +2
As recommendation is essentially a comparative (or ranking) process, a good explanation should illustrate to users why an item is believed to be better than another, i.e., comparat…
Fano interference of the Higgs mode in cuprate high-Tc superconductors
Hao Chu, Sergey Kovalev, Zi Xiao Wang +31
Despite decades of search for the pairing boson in cuprate high-Tc superconductors, its identity still remains debated to date. For this reason, spectroscopic signatures of electro…
Unbiased Graph Embedding with Biased Graph Observations
Nan Wang, Lu Lin, Jundong Li +1
Graph embedding techniques are pivotal in real-world machine learning tasks that operate on graph-structured data, such as social recommendation and protein structure modeling. Emb…