DAIR Lab

Prof. Dr. Bin Cui

Head of DAIR Lab

bin.cui@pku.edu.cn

Welcome to the DAIR Lab! We are part of the School of Computer Science at Peking University (PKU). Together we enjoy working on Database, ML Systems, Data-centric ML, AutoML, etc.

DAIR is a research lab led by Professor Cui Bin from the School of Computer Science at Peking University. The lab has made significant contributions to theoretical and technological innovation, system research and development, and has published over 100 academic papers in top international academic conferences and journals. Additionally, it has undertaken multiple open-source projects. The lab has been recognized with numerous honors including Microsoft Fellowship, Apple Scholarship, Google Fellowship, and the PhD dissertation award from CCF, ACM China, and PKU. At last, the lab has also established fruitful collaborations with well-known enterprises such as Tencent, Alibaba, Apple, Microsoft, Baidu, Kwai, ZTE and others to solve practical problems and transform scientific research achievements.

We have opening positions for Tenure-track faculties, Post-Docs and Interns. Interested persons please contact Prof.Bin Cui directly!

news

Oct 25, 2023	Our lab website is avaliable!
Oct 7, 2023	PKU-DAIR实验室博士生获字节跳动奖学金
Oct 22, 2015	DAIR实验室4篇论文入选数据库顶会VLDB‘2023！

selected publications

Data-centric ML

Alg: Fast and accurate active learning framework for graph convolutional networks

Wentao Zhang, Yu Shen, Yang Li, and 3 more authors

In Proceedings of the 2021 International Conference on Management of Data, 2021

Bib CCF-A Code

@inproceedings{zhang2021alg,
  title = {Alg: Fast and accurate active learning framework for graph convolutional networks},
  author = {Zhang, Wentao and Shen, Yu and Li, Yang and Chen, Lei and Yang, Zhi and Cui, Bin},
  booktitle = {Proceedings of the 2021 International Conference on Management of Data},
  pages = {2366--2374},
  year = {2021}
}

ML system

Pasca: A graph neural architecture search system under the scalable paradigm

Wentao Zhang, Yu Shen, Zheyu Lin, and 6 more authors

In Proceedings of the ACM Web Conference 2022, 2022

Bib CCF-A Code

@inproceedings{zhang2022pasca,
  title = {Pasca: A graph neural architecture search system under the scalable paradigm},
  author = {Zhang, Wentao and Shen, Yu and Lin, Zheyu and Li, Yang and Li, Xiaosen and Ouyang, Wen and Tao, Yangyu and Yang, Zhi and Cui, Bin},
  booktitle = {Proceedings of the ACM Web Conference 2022},
  pages = {1817--1828},
  year = {2022}
}

others

Diffusion models: A comprehensive survey of methods and applications

Ling Yang, Zhilong Zhang, Yang Song, and 6 more authors

ACM Computing Surveys, 2022

Bib

@article{yang2022diffusion,
  title = {Diffusion models: A comprehensive survey of methods and applications},
  author = {Yang, Ling and Zhang, Zhilong and Song, Yang and Hong, Shenda and Xu, Runsheng and Zhao, Yue and Zhang, Wentao and Cui, Bin and Yang, Ming-Hsuan},
  journal = {ACM Computing Surveys},
  year = {2022}
}

Database

A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning

Xinyi Zhang, Zhuo Chang, Hong Wu, and 5 more authors

Proceedings of the ACM on Management of Data, 2023

Bib CCF-A Code

@article{zhang2023unified,
  title = {A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning},
  author = {Zhang, Xinyi and Chang, Zhuo and Wu, Hong and Li, Yang and Chen, Jia and Tan, Jian and Li, Feifei and Cui, Bin},
  journal = {Proceedings of the ACM on Management of Data},
  volume = {1},
  number = {2},
  pages = {1--26},
  year = {2023},
  publisher = {ACM New York, NY, USA}
}

AutoML

Openbox: A generalized black-box optimization service

Yang Li, Yu Shen, Wentao Zhang, and 8 more authors

In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021

Bib CCF-A Code

@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}
}