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2020 – today
- 2026
[i2]Haodong Chen, Xuanhe Zhou, Wei Zhou, Xinyue Shao, Yanbing Zhu, Bo Wang, Jiawei Hong, Anya Jia, Fan Wu:
X+Slides: Benchmarking Audience-Conditioned Slide Generation. CoRR abs/2606.19256 (2026)- 2025
- [j4]Yun Zuo
, Minquan Wan, Xinyue Shao, Dandan Qiao, Bulanni Xiong, Zhaohong Deng:
LM-TLIPs: Integrating Large Model and Transfer Learning Technology for Precise Identification of Phosphorylation Sites in SARS-CoV-2. IEEE J. Biomed. Health Informatics 29(10): 6982-6989 (2025) - [c5]Tianyu Mu, Hongzhi Wang, Chen Liang, Xinyue Shao:
Auto-TSF: Towards Proxy-Model-Based Meta-Learning for Automatic Time Series Forecasting Algorithm Selection. ICDE 2025: 487-500 - 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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