activity
20182021
most citedDeep Colormap Extraction from Visualizations

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

collaborators

7 papers

cs.HC20212 cited

Deep Colormap Extraction from Visualizations

Lin-Ping Yuan, Wei Zeng, Siwei Fu +4

This work presents a new approach based on deep learning to automatically extract colormaps from visualizations. After summarizing colors in an input visualization image as a Lab c…

cs.GR2020

Exemplar-based Layout Fine-tuning for Node-link Diagrams

Jiacheng Pan, Wei Chen, Xiaodong Zhao +6

We design and evaluate a novel layout fine-tuning technique for node-link diagrams that facilitates exemplar-based adjustment of a group of substructures in batching mode. The key…

cs.HC20201 cited

ICE: Identify and Compare Event Sequence Sets through Multi-Scale Matrix and Unit Visualizations

Siwei Fu, Jian Zhao, Linping Yuan +3

Comparative analysis of event sequence data is essential in many application domains, such as website design and medical care. However, analysts often face two challenges: they may…

cs.CL2020

Quda: Natural Language Queries for Visual Data Analytics

Siwei Fu, Kai Xiong, Xiaodong Ge +3

The identification of analytic tasks from free text is critical for visualization-oriented natural language interfaces (V-NLIs) to suggest effective visualizations. However, it is…

cs.HC2019

Task-Oriented Optimal Sequencing of Visualization Charts

Danqing Shi, Yang Shi, Xinyue Xu +4

A chart sequence is used to describe a series of visualization charts generated in the exploratory analysis by data analysts. It provides information details in each chart as well…

cs.HC2019

Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs

Qianwen Wang, Zhen Li, Siwei Fu +2

Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools ar…