activity
20162022
most citedHierLPR: Decision making in hierarchical multi-label classification with local precision rates

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

Ranking hierarchical multi-label classification results with mLPRs

Yuting Ye, Christine Ho, Ci-Ren Jiang +2

Hierarchical multi-label classification (HMC) has gained considerable attention in recent decades. A seminal line of HMC research addresses the problem in two stages: first, traini…

cs.LG2019★ 1 cited

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks

Yuting Ye, Xuwu Wang, Jiangchao Yao +4

Low-dimensional embeddings of knowledge graphs and behavior graphs have proved remarkably powerful in varieties of tasks, from predicting unobserved edges between entities to conte…

stat.ME2019

Paired Test of Matrix Graphs and Brain Connectivity Analysis

Yuting Ye, Yin Xia, Lexin Li

Inferring brain connectivity network and quantifying the significance of interactions between brain regions are of paramount importance in neuroscience. Although there have recentl…

stat.ML2018★ 3 cited

HierLPR: Decision making in hierarchical multi-label classification with local precision rates

Christine Ho, Yuting Ye, Ci-Ren Jiang +2

In this article we propose a novel ranking algorithm, referred to as HierLPR, for the multi-label classification problem when the candidate labels follow a known hierarchical struc…

math.OC2016★ 2 cited

HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step

Yuting Ye, Lihua Lei, Cheng Ju

In this article, we develop and analyze a homotopy continuation method, referred to as HONES , for solving the sequential generalized projections in Online Newton Step, as well as…