2 citations · 5 across the 7 of their papers we have counts for
7 papers
Efficiently Visualizing Large Graphs
Xinyu Li, Yao Xiao, Yuchen Zhou
Most existing graph visualization methods based on dimension reduction are limited to relatively small graphs due to performance issues. In this work, we propose a novel dimension…
Exploring assessment method of technological advancement based on literature cross-citation
Shengxuan Tang, Liming Zhang, Shuo Jiang +2
Assessing advancements of technology is essential for creating science and technology policies and making informed investments in the technology market. However, current methods pr…
Sequential edge detection using joint hierarchical Bayesian learning
Yao Xiao, Anne Gelb, Guohui Song
This paper introduces a new sparse Bayesian learning (SBL) algorithm that jointly recovers a temporal sequence of edge maps from noisy and under-sampled Fourier data. The new metho…
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks
Yao Xiao, Ji Xu, Jing Yang +1
Graph Convolutional Networks (GCNs) have been proved successful in the field of semi-supervised node classification by extracting structural information from graph data. However, t…
Semi-supervised Learning with Deterministic Labeling and Large Margin Projection
Ji Xu, Gang Ren, Yao Xiao +2
The centrality and diversity of the labeled data are very influential to the performance of semi-supervised learning (SSL), but most SSL models select the labeled data randomly. Th…
Contributions of Shape, Texture, and Color in Visual Recognition
Yunhao Ge, Yao Xiao, Zhi Xu +2
We investigate the contributions of three important features of the human visual system (HVS)~ -- ~shape, texture, and color ~ -- ~to object classification. We build a humanoid vis…