Huajie Qian
About Me
I'm currently working at Alibaba DAMO Academy. I earned my Ph.D. in Operations Research (thesis) at Columbia University, advised by Prof. Henry Lam. Before that, I obtained my B.S. degree in Mathematics from Fudan University and M.S. degree in Applied and Interdisciplinary Mathematics from University of Michigan.
My research focuses on developing statistically and computationally efficient datadriven methodologies for Monte Carlo simulation, stochastic and simulationbased optimization.
Publications
Journal Articles
Monte Carlo Simulation
Optimization under Uncertainty
Refereed Conference Proceedings
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms, with Y. Zhang et al., Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021.
Learning Prediction Intervals for Regression: Generalization and Calibration, with H. Chen, Z. Huang, H. Lam and H. Zhang, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
Validating Optimization with Uncertain Constraints, with H. Lam, Proceedings of the Winter Simulation Conference (WSC), 2019.
Random Perturbation and Bagging to Quantify Input Uncertainty, with H. Lam, Proceedings of the Winter Simulation Conference (WSC), 2019.
Subsampling Variance for Input Uncertainty Quantification, with H. Lam, Proceedings of the Winter Simulation Conference (WSC), 2018.
Assessing Solution Quality in Stochastic Optimization via Bootstrap Aggregating, with H. Lam, Proceedings of the Winter Simulation Conference (WSC), 2018.
The Empirical Likelihood Approach to Simulation Input Uncertainty, with H. Lam, Proceedings of the Winter Simulation Conference (WSC), 2016.
