Tianyi Yang

tim.tyyang at gmail.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 March 2024, he has published papers in top software engineering and machine learning conferences. Besides, he has also spent time at Microsoft Research Asia and Alipay as a research intern/data analyst intern.

Tianyi works in a Quant Fund in Hong Kong currently. Please feel free to reach out via email or 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

ISSTA’24

MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing

Tianyi Yang, Cheryl Lee, and 4 more authors

In Proceedings of ACM SIGSOFT 33rd International Symposium on Software Testing and Analysis 2024

DOI arXiv Bib

@inproceedings{yang2024microres,
  title = {MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing},
  author = {Yang, Tianyi and Lee, Cheryl and Shen, Jiacheng and Su, Yuxin and Yang, Yongqiang and Lyu, Michael R},
  booktitle = {Proceedings of ACM SIGSOFT 33rd International Symposium on Software Testing and Analysis},
  year = {2024},
}

ICDE’24

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions

Cheryl Lee, Tianyi Yang, and 4 more authors

In Proceedings of IEEE 40th International Conference on Data Engineering 2024

Bib

@inproceedings{li2024SPES,
  title = {SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions},
  author = {Lee, Cheryl and Yang, Tianyi and Zhu, Zhouruixing and Su, Yuxin and He, Pinjia and Lyu, Michael R},
  booktitle = {Proceedings of IEEE 40th International Conference on Data Engineering},
  year = {2024},
  organization = {IEEE},
}

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},
}