activity
20182021
most citedScout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints

58 citations · 99 across the 5 of their papers we have counts for

collaborators

8 papers

cs.HC202134 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.HC202058 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.PL20193 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.LG20193 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…

cs.LG20191 cited

Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications

Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham +3

Models such as Sequence-to-Sequence and Image-to-Sequence are widely used in real world applications. While the ability of these neural architectures to produce variable-length out…

cs.CL2018

Robust Text-to-SQL Generation with Execution-Guided Decoding

Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt +4

We consider the problem of neural semantic parsing, which translates natural language questions into executable SQL queries. We introduce a new mechanism, execution guidance, to le…