Huajie Qian

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Root Cause Analysis

Ensemble Selection

Cloud Computing

Top Venues

Publications

Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin
Bagging Improves Generalization Exponentially. CoRR (2024)
Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. AAAI (2023)
Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. CoRR (2023)
Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. AISTATS (2023)
Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. CoRR (2022)
Henry Lam, Huajie Qian
Subsampling to Enhance Efficiency in Input Uncertainty Quantification. Oper. Res. 70 (3) (2022)
Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. ICDE (2022)
Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CIKM (2021)
Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang
Learning Prediction Intervals for Regression: Generalization and Calibration. CoRR (2021)
Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CoRR (2021)
Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang
Learning Prediction Intervals for Regression: Generalization and Calibration. AISTATS (2021)
Aleksandrina Goeva, Henry Lam, Huajie Qian, Bo Zhang
Optimization-Based Calibration of Simulation Input Models. Oper. Res. 67 (5) (2019)
Henry Lam, Huajie Qian
Validating Optimization with Uncertain Constraints. WSC (2019)
Henry Lam, Huajie Qian
Random Perturbation and Bagging to Quantify Input Uncertainty. WSC (2019)
Henry Lam, Huajie Qian
Assessing solution Quality in stochastic Optimization via bootstrap Aggregating. WSC (2018)
Henry Lam, Huajie Qian
Subsampling variance for input uncertainty Quantification. WSC (2018)
Henry Lam, Huajie Qian
The empirical likelihood approach to simulation input uncertainty. WSC (2016)