Demonstration of VegaPlus: Optimizing Declarative Visualization Languages. - Junran Yang; Hyekang Kevin Joo; Sai S. Yerramreddy; Siyao Li; Dominik Moritz; Leilani Battle (SIGMOD Conference, 2022)

Scalable Vega: Optimizing Declarative Visualization Languages. - Junran Yang; Hyekang Kevin Joo; Sai S. Yerramreddy; Siyao Li; Dominik Moritz; Leilani Battle (CoRR, 2022)

Extending Explainable Boosting Machines to Scientific Image Data. - Daniel Schug; Sai S. Yerramreddy; Rich Caruana; Craig Greenberg; Justyna P. Zwolak (CoRR, 2023)

An empirical assessment of machine learning approaches for triaging reports of static analysis tools. - Sai S. Yerramreddy; Austin Mordahl; Ugur Koc; Shiyi Wei; Jeffrey S. Foster; Marine Carpuat; Adam A. Porter (Empir. Softw. Eng., 2023)

Optimizing Dataflow Systems for Scalable Interactive Visualization. - Junran Yang; Hyekang Kevin Joo; Sai S. Yerramreddy; Dominik Moritz; Leilani Battle (Proc. ACM Manag. Data, 2024)