Cheriton students Jeremy Chen, Yuqing Huang and Mushi Wang and Professors Semih Salihoğlu and Ken Salem have received a 2022 ACM SIGMOD Research Highlight Award for their paper “Accurate summary-based cardinality estimation through the lens of cardinality estimation graphs.” No stranger to scholarly recognition, this research earlier received the Best Experiment, Analysis and Benchmark Award at VLDB 2022, the 48th International Conference on Very Large Databases, where it was presented originally.
“The SIGMOD Research Highlight Award aims to showcase a set of research projects that exemplify core database research,” wrote Wim Martens, chair of the SIGMOD award selection committee in his letter to Professor Salihoğlu. “These projects address an important problem, represent a definitive milestone in solving the problem, and have the potential of significant impact. The initiative of the SIGMOD Research Highlights also aims to make the selected works widely known in the database community, to our industry partners, and potentially to the broader ACM community.”
To read more, check out the full article on the Cheriton news page.