The empirical likelihood approach to simulation input uncertainty. - Henry Lam; Huajie Qian (WSC, 2016)

Subsampling variance for input uncertainty Quantification. - Henry Lam; Huajie Qian (WSC, 2018)

Assessing solution Quality in stochastic Optimization via bootstrap Aggregating. - Henry Lam; Huajie Qian (WSC, 2018)

Random Perturbation and Bagging to Quantify Input Uncertainty. - Henry Lam; Huajie Qian (WSC, 2019)

Validating Optimization with Uncertain Constraints. - Henry Lam; Huajie Qian (WSC, 2019)

Optimization-Based Calibration of Simulation Input Models. - Aleksandrina Goeva; Henry Lam; Huajie Qian; Bo Zhang (Oper. Res., 2019)

Learning Prediction Intervals for Regression: Generalization and Calibration. - Haoxian Chen 002; Ziyi Huang; Henry Lam; Huajie Qian; Haofeng Zhang 002 (AISTATS, 2021)

CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. - Yingying Zhang; Zhengxiong Guan; Huajie Qian; Leili Xu; Hengbo Liu; Qingsong Wen; Liang Sun 001; Junwei Jiang; Lunting Fan; Min Ke (CIKM, 2021)

RobustScaler: QoS-Aware Autoscaling for Complex Workloads. - Huajie Qian; Qingsong Wen; Liang Sun 001; Jing Gu; Qiulin Niu; Zhimin Tang (ICDE, 2022)

Subsampling to Enhance Efficiency in Input Uncertainty Quantification. - Henry Lam; Huajie Qian (Oper. Res., 2022)

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. - Zhiqiang Zhou; Chaoli Zhang 001; Lingna Ma; Jing Gu; Huajie Qian; Qingsong Wen; Liang Sun 001; Peng Li; Zhimin Tang (AAAI, 2023)

HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. - Ziang Chen; Jianfeng Lu 001; Huajie Qian; Xinshang Wang; Wotao Yin (AISTATS, 2023)

Bagging Improves Generalization Exponentially. - Huajie Qian; Donghao Ying; Henry Lam; Wotao Yin (CoRR, 2024)