Tianyi Yang

tim.tyyang at outlook.com

Tianyi Yang works in the interdisciplinary fields of machine learning and system engineering. His current research focuses on using cutting-edge machine learning to model monitoring metrics and improve the reliability and performance of cloud computing systems.

Tianyi Yang got his Ph.D. from The Chinese University of Hong Kong and B.Eng from Sun Yat-Sen University. Till November 2022, he has published papers in top conferences, including ASE, DSN, ICDCS, WWW, ISSRE, etc. Besides, he has also spent time at Microsoft Research Asia, Huawei Cloud, and Ant Financial as a research intern/data analyst intern.

💡 Tianyi is currently on the job market. Open to Quant/Data Scientist positions in Hong Kong/Shanghai/Singapore/US. Reach me via LinkedIn!

news

Dec 9, 2022	Two papers on anomaly detection and root cause localization are accepted by ICSE2023!
Aug 17, 2022	I passed the oral defense and graduated from CUHK.

selected publications

DSN’22

Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems

Tianyi Yang, Jiacheng Shen, and 4 more authors

In Proceedings of IEEE/IFIP 52nd International Conference on Dependable Systems and Networks 2022

DOI arXiv Bib

@inproceedings{yang2022characterizing,
  title = {Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems},
  author = {Yang, Tianyi and Shen, Jiacheng and Su, Yuxin and Ren, Xiaoxue and Yang, Yongqiang and Lyu, Michael R},
  booktitle = {Proceedings of IEEE/IFIP 52nd International Conference on Dependable Systems and Networks},
  pages = {1--9},
  year = {2022},
  organization = {IEEE/IFIP},
}

ASE’21

AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems

Tianyi Yang, Jiacheng Shen, and 4 more authors

In Proceedings of IEEE/ACM 36th International Conference on Automated Software Engineering 2021

DOI arXiv Bib Code Slides

@inproceedings{yang2021aid,
  title = {AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems},
  author = {Yang, Tianyi and Shen, Jiacheng and Su, Yuxin and Ling, Xiao and Yang, Yongqiang and Lyu, Michael R},
  booktitle = {Proceedings of IEEE/ACM 36th International Conference on Automated Software Engineering},
  pages = {653--665},
  year = {2021},
  organization = {IEEE},
}

CSUR

A survey on automated log analysis for reliability engineering

Shilin He, Pinjia He, and 4 more authors

ACM Computing Surveys 2021

DOI arXiv Bib

@article{he2021survey,
  title = {A survey on automated log analysis for reliability engineering},
  author = {He, Shilin and He, Pinjia and Chen, Zhuangbin and Yang, Tianyi and Su, Yuxin and Lyu, Michael R},
  journal = {ACM Computing Surveys},
  volume = {54},
  number = {6},
  pages = {1--37},
  year = {2021},
  publisher = {ACM New York, NY, USA},
}