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2020 – today
- 2024
[j3]Xinyue Shao
, Hongzhi Wang, Xiang Chen, Xiao Zhu, Yan Zhang:
CUBE: Causal Intervention-Based Counterfactual Explanation for Prediction Models. IEEE Trans. Knowl. Data Eng. 36(6): 2416-2429 (2024)- [c4]Xinyue Shao, Hongzhi Wang, Xiao Zhu, Tianyu Mu, Yan Zhang:
Explainable Database Management System Configuration Tuning through Counterfactuals. ICDE 2024: 124-137 - [c3]Tianyu Mu, Hongzhi Wang, Haoyun Tang, Xinyue Shao:
ShrinkHPO: Towards Explainable Parallel Hyperparameter Optimization. ICDE 2024: 4897-4910 - [c2]Xinyue Shao, Hongzhi Wang, Xiang Chen, Xiao Zhu, Yan Zhang:
CUBE: Causal Intervention-based Counterfactual Explanation for Prediction Models (Extended Abstract). ICDE 2024: 5719-5720 - 2023
- [j2]Xinyue Shao, Hongzhi Wang, Xiao Zhu, Feng Xiong, Tianyu Mu, Yan Zhang:
EFFECT: Explainable framework for meta-learning in automatic classification algorithm selection. Inf. Sci. 622: 211-234 (2023) - [c1]Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang:
TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. ICDE 2023: 1032-1044 - 2022
- [j1]Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang, Xinyue Shao:
Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. Inf. Sci. 591: 344-364 (2022) - [i1]Xinyue Shao, Hongzhi Wang, Xiao Zhu, Feng Xiong:
FIND: Explainable Framework for Meta-learning. CoRR abs/2205.10362 (2022)
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