| 2025 | ICDE | Meta-Learning Based CTR Algorithm Selection and Hyperparameter Optimization. | Chunnan Wang, Junzhe Wang, Xiang Chen, Xintong Song, Tianyu Mu, Hongzhi Wang |
| 2024 | ICDE | AutoMC: Automated Model Compression Based on Domain Knowledge and Progressive Search. | Chunnan Wang, Hongzhi Wang, Xiangyu Shi |
| 2023 | ICDE | TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. | Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang |
| 2022 | CVPR | ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework. | Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang |
| 2022 | DASFAA | CO-AutoML: An Optimizable Automated Machine Learning System. | Chunnan Wang, Hongzhi Wang, Bo Xu, Xintong Song, Xiangyu Shi, Yuhao Bao, Bo Zheng |
| 2020 | ICDE | Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem. | Chunnan Wang, Hongzhi Wang, Tianyu Mu, Jianzhong Li, Hong Gao |
| 2019 | ICDE | ECOQUG: An Effective Ensemble Community Scoring Function. | Chunnan Wang, Hongzhi Wang, Chang Zhou, Jianzhong Li, Hong Gao |