activity
20182023
most citedMultivariate Spatial Data Visualization: A Survey

26 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023

MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation

Yuan Li, Huan Liu, Yubo Tao +4

Recently, deep learning-based tooth segmentation methods have been limited by the expensive and time-consuming processes of data collection and labeling. Achieving high-precision s…

cs.LG2022

voxel2vec: A Natural Language Processing Approach to Learning Distributed Representations for Scientific Data

Xiangyang He, Yubo Tao, Shuoliu Yang +2

Relationships in scientific data, such as the numerical and spatial distribution relations of features in univariate data, the scalar-value combinations' relations in multivariate…

cs.SI2021

SPAN: Subgraph Prediction Attention Network for Dynamic Graphs

Yuan Li, Chuanchang Chen, Yubo Tao +1

This paper proposes a novel model for predicting subgraphs in dynamic graphs, an extension of traditional link prediction. This proposed end-to-end model learns a mapping from the…

cs.CV2019★ 6 cited

A Co-analysis Framework for Exploring Multivariate Scientific Data

Xiangyang He, Yubo Tao, Qirui Wang +1

In complex multivariate data sets, different features usually include diverse associations with different variables, and different variables are associated within different regions…

cs.HC2019★ 26 cited

Multivariate Spatial Data Visualization: A Survey

Xiangyang He, Yubo Tao, Qirui Wang +1

Multivariate spatial data plays an important role in computational science and engineering simulations. The potential features and hidden relationships in multivariate data can ass…

cs.SI2019★ 6 cited

Dynamic Network Embeddings for Network Evolution Analysis

Chuanchang Chen, Yubo Tao, Hai Lin

Network embeddings learn to represent nodes as low-dimensional vectors to preserve the proximity between nodes and communities of the network for network analysis. The temporal edg…

cs.GR2018★ 1 cited

CNNs based Viewpoint Estimation for Volume Visualization

Neng Shi, Yubo Tao

Viewpoint estimation from 2D rendered images is helpful in understanding how users select viewpoints for volume visualization and guiding users to select better viewpoints based on…