activity
20222024
most citedToo Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco

10 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2024

Considering Visualization Example Galleries

Junran Yang, Andrew McNutt, Leilani Battle

Example galleries are often used to teach, document, and advertise visually-focused domain-specific languages and libraries, such as those producing visualizations, diagrams, or we…

cs.DB2024★ 8 cited

Optimizing Dataflow Systems for Scalable Interactive Visualization

Junran Yang, Hyekang Kevin Joo, Sai Yerramreddy +2

Supporting the interactive exploration of large datasets is a popular and challenging use case for data management systems. Traditionally, the interface and the back-end system are…

cs.HC2023

Draco 2: An Extensible Platform to Model Visualization Design

Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng +1

Draco introduced a constraint-based framework to model visualization design in an extensible and testable form. It provides a way to abstract design guidelines from theoretical and…

cs.HC2023★ 10 cited

Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco

Zehua Zeng, Junran Yang, Dominik Moritz +2

Findings from graphical perception can guide visualization recommendation algorithms in identifying effective visualization designs. However, existing algorithms use knowledge from…

cs.HC2022

VegaProf: Profiling Vega Visualizations

Junran Yang, Alex Bäuerle, Dominik Moritz +1

Domain-specific languages (DSLs) for visualization aim to facilitate visualization creation by providing abstractions that offload implementation and execution details from users t…

cs.DB2022★ 5 cited

Demonstration of VegaPlus: Optimizing Declarative Visualization Languages

Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy +3

While many visualization specification languages are user-friendly, they tend to have one critical drawback: they are designed for small data on the client-side and, as a result, p…