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README_zh_CN.md

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## **相关发表文章**
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**OpenBox: A Python Toolkit for Generalized Black-box Optimization.**
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Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui; JMLR 2024, CCF-A.
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[[paper]](https://www.jmlr.org/papers/v25/23-0537.html)
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[[arxiv]](https://arxiv.org/abs/2304.13339)
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**OpenBox: A Generalized Black-box Optimization Service.**
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Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu,
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Zhi Yang, Ce Zhang, Bin Cui; KDD 2021, CCF-A.
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https://arxiv.org/abs/2106.00421
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[[paper]](https://dl.acm.org/doi/abs/10.1145/3447548.3467061)
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[[arxiv]](https://arxiv.org/abs/2106.00421)
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**MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.**
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Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui; AAAI 2021, CCF-A.
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https://arxiv.org/abs/2012.03011
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[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/17031)
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[[arxiv]](https://arxiv.org/abs/2012.03011)
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**Transfer Learning based Search Space Design for Hyperparameter Tuning.**
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Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui; KDD 2022, CCF-A.
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https://arxiv.org/abs/2206.02511
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[[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539369)
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[[arxiv]](https://arxiv.org/abs/2206.02511)
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**TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.**
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Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui; KDD 2022, CCF-A.
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https://arxiv.org/abs/2206.02663
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[[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539255)
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[[arxiv]](https://arxiv.org/abs/2206.02663)
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**PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm.**
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Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, and Bin Cui;
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WWW 2022, CCF-A, 🏆 Best Student Paper Award.
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https://arxiv.org/abs/2203.00638
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[[paper]](https://dl.acm.org/doi/abs/10.1145/3485447.3511986)
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[[arxiv]](https://arxiv.org/abs/2203.00638)
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**Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.**
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Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui; VLDB 2022, CCF-A.
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https://arxiv.org/abs/2201.06834
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[[paper]](https://dl.acm.org/doi/abs/10.14778/3514061.3514071)
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[[arxiv]](https://arxiv.org/abs/2201.06834)
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## **引用**
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如果您使用 OpenBox,请考虑引用以下文章:
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```
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@inproceedings{li2021openbox,
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title={Openbox: A generalized black-box optimization service},
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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},
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booktitle={Proceedings of the 27th ACM SIGKDD conference on knowledge discovery \& data mining},
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pages={3209--3219},
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year={2021}
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}
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@article{JMLR:v25:23-0537,
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author = {Huaijun Jiang and Yu Shen and Yang Li and Beicheng Xu and Sixian Du and Wentao Zhang and Ce Zhang and Bin Cui},
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title = {OpenBox: A Python Toolkit for Generalized Black-box Optimization},
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journal = {Journal of Machine Learning Research},
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year = {2024},
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volume = {25},
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number = {120},
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pages = {1--11},
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url = {http://jmlr.org/papers/v25/23-0537.html}
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}
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```
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<!-- end of related projects and publications (for docs) -->
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