Research and Publications

Related Projects

Targeting at openness and advancing AutoML ecosystems, we had also released few other open-source projects.

• MindWare: an open source system that provides end-to-end ML model training and inference capabilities.

• SGL: a scalable graph learning toolkit for extremely large graph datasets.

• HyperTune: a large-scale multi-fidelity hyper-parameter tuning system.

Related Publications

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui; JMLR 2024, CCF-A. [paper] [arxiv]

OpenBox: A Generalized Black-box Optimization Service.

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui; KDD 2021, CCF-A. [paper] [arxiv]

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.

Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui; AAAI 2021, CCF-A. [paper] [arxiv]

Transfer Learning based Search Space Design for Hyperparameter Tuning.

Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui; KDD 2022, CCF-A. [paper] [arxiv]

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui; KDD 2022, CCF-A. [paper] [arxiv]

PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, and Bin Cui; WWW 2022, CCF-A, 🏆 Best Student Paper Award. [paper] [arxiv]

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui; VLDB 2022, CCF-A. [paper] [arxiv]

Citing

If you use OpenBox, please consider citing the following articles:

@inproceedings{li2021openbox,
  title={Openbox: A generalized black-box optimization service},
  author={Li, Yang and Shen, Yu and Zhang, Wentao and Chen, Yuanwei and Jiang, Huaijun and Liu, Mingchao and Jiang, Jiawei and Gao, Jinyang and Wu, Wentao and Yang, Zhi and others},
  booktitle={Proceedings of the 27th ACM SIGKDD conference on knowledge discovery \& data mining},
  pages={3209--3219},
  year={2021}
}

@article{JMLR:v25:23-0537,
  author  = {Huaijun Jiang and Yu Shen and Yang Li and Beicheng Xu and Sixian Du and Wentao Zhang and Ce Zhang and Bin Cui},
  title   = {OpenBox: A Python Toolkit for Generalized Black-box Optimization},
  journal = {Journal of Machine Learning Research},
  year    = {2024},
  volume  = {25},
  number  = {120},
  pages   = {1--11},
  url     = {http://jmlr.org/papers/v25/23-0537.html}
}