Articles by Chengcheng Wan

ALERT: Accurate Anytime Learning for energy and timeliness in software systems

Learn about University of Chicago PhD student Chengcheng Wan's research on designing a solution to integrate machine learning components into traditional software systems to maximize energy efficiency, latency, and accuracy constraints at machine learning, system and application levels, with related research published at USENIX ATC, ICML, and ICSE.