  In this paper, we describe our method for tackling the automated
hyperparameter optimization challenge in QQ Browser 2021 AI Algorithm
Competiton (ACM CIKM 2021 AnalyticCup Track 2). The competition organizers
provide anonymized realistic industrial tasks and datasets for black-box
optimization. Based on our open-sourced package OpenBox, we adopt the Bayesian
optimization framework for configuration sampling and a heuristic early
stopping strategy. We won first place in both the preliminary and final
contests with the results of 0.938291 and 0.918753, respectively.
