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Huajie Qian
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2020 – today
- 2024
- [i5]Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin:
Bagging Improves Generalization Exponentially. CoRR abs/2405.14741 (2024) - 2023
- [c10]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: 15621-15629 - [c9]Ziang Chen
, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin:
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. AISTATS 2023: 10732-10781 - [i4]Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. CoRR abs/2303.03640 (2023) - 2022
- [j2]Henry Lam
Subsampling to Enhance Efficiency in Input Uncertainty Quantification. Oper. Res. 70(3): 1891-1913 (2022) - [c8]Huajie Qian, Qingsong Wen
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. ICDE 2022: 2762-2775 - [i3]Huajie Qian, Qingsong Wen
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. CoRR abs/2204.07197 (2022) - 2021
- [c7]Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang:
Learning Prediction Intervals for Regression: Generalization and Calibration. AISTATS 2021: 820-828 - [c6]Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CIKM 2021: 4373-4382 - [i2]Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang:
Learning Prediction Intervals for Regression: Generalization and Calibration. CoRR abs/2102.13625 (2021) - [i1]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 abs/2111.03753 (2021)
2010 – 2019
- 2019
- [j1]Aleksandrina Goeva, Henry Lam
Optimization-Based Calibration of Simulation Input Models. Oper. Res. 67(5): 1362-1382 (2019) - [c5]Henry Lam, Huajie Qian:
Random Perturbation and Bagging to Quantify Input Uncertainty. WSC 2019: 320-331 - [c4]Henry Lam, Huajie Qian:
Validating Optimization with Uncertain Constraints. WSC 2019: 3621-3632 - 2018
- [c3]Henry Lam, Huajie Qian:
Subsampling variance for input uncertainty Quantification. WSC 2018: 1611-1622 - [c2]Henry Lam, Huajie Qian:
Assessing solution Quality in stochastic Optimization via bootstrap Aggregating. WSC 2018: 2061-2071 - 2016
- [c1]Henry Lam, Huajie Qian:
The empirical likelihood approach to simulation input uncertainty. WSC 2016: 791-802
Coauthor Index
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