A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase. - Martin Valdez-Vivas; Caner Gocmen; Andrii Korotkov; Ethan Fang; Kapil Goenka; Sherry Chen (KDD, 2018)

QUEST: Queue Simulation for Content Moderation at Scale. - Rahul Makhijani; Parikshit Shah; Vashist Avadhanula; Caner Gocmen; Nicolás E. Stier Moses; Julián Mestre (CoRR, 2021)

Robust and fair work allocation. - Amine Allouah; Christian Kroer; Xuan Zhang; Vashist Avadhanula; Anil Dania; Caner Gocmen; Sergey Pupyrev; Parikshit Shah; Nicolás Stier Moses (CoRR, 2022)

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. - Vashist Avadhanula; Omar Abdul Baki; Hamsa Bastani; Osbert Bastani; Caner Gocmen; Daniel Haimovich; Darren Hwang; Dima Karamshuk; Thomas J. Leeper; Jiayuan Ma; Gregory Macnamara; Jake Mullett; et al. (CoRR, 2022)

Fair Allocation Over Time, with Applications to Content Moderation. - Amine Allouah; Christian Kroer; Xuan Zhang; Vashist Avadhanula; Nona Bohanon; Anil Dania; Caner Gocmen; Sergey Pupyrev; Parikshit Shah; Nicolás Stier Moses; Ken Rodríguez Taarup (KDD, 2023)

ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing. - Mike Chow; Yang Wang 009; William Wang; Ayichew Hailu; Rohan Bopardikar; Bin Zhang; Jialiang Qu; David Meisner; Santosh Sonawane; Yunqi Zhang; Rodrigo Paim; Mack Ward; et al. (OSDI, 2024)

Scheduling with Uncertain Holding Costs and its Application to Content Moderation. - Caner Gocmen; Thodoris Lykouris; Deeksha Sinha; Wentao Weng (CoRR, 2025)