5 citations · 6 across the 5 of their papers we have counts for
6 papers
The Rational Agent Benchmark for Data Visualization
Yifan Wu, Ziyang Guo, Michails Mamakos +2
Understanding how helpful a visualization is from experimental results is difficult because the observed performance is confounded with aspects of the study design, such as how use…
Causal Support: Modeling Causal Inferences with Visualizations
Alex Kale, Yifan Wu, Jessica Hullman
Analysts often make visual causal inferences about possible data-generating models. However, visual analytics (VA) software tends to leave these models implicit in the mind of the…
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time
Doris Xin, Devin Petersohn, Dixin Tang +5
We propose opportunistic evaluation, a framework for accelerating interactions with dataframes. Interactive latency is critical for iterative, human-in-the-loop dataframe workloads…
DIEL: Interactive Visualization Beyond the Here and Now
Yifan Wu, Remco Chang, Joseph Hellerstein +2
Interactive visualization design and research have primarily focused on local data and synchronous events. However, for more complex use cases---e.g., remote database access and st…
Programming with Timespans in Interactive Visualizations
Yifan Wu, Remco Chang, Eugene Wu +1
Modern interactive visualizations are akin to distributed systems, where user interactions, background data processing, remote requests, and streaming data read and modify the inte…
Facilitating Exploration with Interaction Snapshots under High Latency
Yifan Wu, Remco Chang, Joseph M. Hellerstein +1
Latency is, unfortunately, a reality when working with large datasets. Guaranteeing imperceptible latency for interactivity is often prohibitively expensive: the application develo…