activity
20182022
most citedScout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints

58 citations · 130 across the 8 of their papers we have counts for

collaborators

10 papers

cs.PL2022★ 2 cited

Type-Directed Synthesis of Visualizations from Natural Language Queries

Qiaochu Chen, Shankara Pailoor, Celeste Barnaby +4

We propose a new technique based on program synthesis for automatically generating visualizations from natural language queries. Our method parses the natural language query into a…

cs.PL2022★ 11 cited

Synthesizing Analytical SQL Queries from Computation Demonstration

Xiangyu Zhou, Rastislav Bodik, Alvin Cheung +1

Analytical SQL is widely used in modern database applications and data analysis. However, its partitioning and grouping operators are challenging for novice users. Unfortunately, p…

cs.HC2021★ 34 cited

Falx: Synthesis-Powered Visualization Authoring

Chenglong Wang, Yu Feng, Rastislav Bodik +3

Modern visualization tools aim to allow data analysts to easily create exploratory visualizations. When the input data layout conforms to the visualization design, users can easily…

cs.HC2020★ 58 cited

Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints

Amanda Swearngin, Chenglong Wang, Alannah Oleson +2

Although exploring alternatives is fundamental to creating better interface designs, current processes for creating alternatives are generally manual, limiting the alternatives a d…

cs.PL2019★ 3 cited

Visualization by Example

Chenglong Wang, Yu Feng, Rastislav Bodik +2

While visualizations play a crucial role in gaining insights from data, generating useful visualizations from a complex dataset is far from an easy task. Besides understanding the…

cs.LG2019★ 3 cited

Learning Transferable Graph Exploration

Hanjun Dai, Yujia Li, Chenglong Wang +3

This paper considers the problem of efficient exploration of unseen environments, a key challenge in AI. We propose a `learning to explore' framework where we learn a policy from a…