Shilin He (何世林)

Researcher, Microsoft Research
Ph.D., The Chinese University of Hong Kong

Contact Info:

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I am a researcher at Microsoft Research Asia. I received my Ph.D. degree from the Chinese University of Hong Kong (CUHK) in 2020, under the supervision of Prof. Michael R. Lyu. My research concerns the interpretability-driven intelligent software reliability engineering, including AIOps, log analysis and model interpretability.

I am the maintainer of LogPAI project, which provides an end-to-end solution to intelligently manage and analyze logs for modern software systems using machine learning techniques. So far, the project has received 2800+ stars and 800+ forks and the datasets Loghub have been downloaded for more than 40000 times by 370+ organizations. Feel free to contact us if you have any questions.


All Publications

(Sorted By Year)

Fighting the Fog of War: Automated Incident Detection for Cloud Systems [PDF] [BibTex]
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21)

Onion: Identifying Incident-indicating Logs for Cloud Systems [PDF] [BibTex]
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation [arXiv] [BibTex]
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu, Xing Wang
NAACL 2021

A Survey on Automated Log Analysis for Reliability Engineering [arXiv] [BibTex]
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
ACM Computing Survey

Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics [arXiv] [BibTex]
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
Arxiv 2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation [arXiv] [BibTex]
Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu
EMNLP 2020

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models [arXiv] [BibTex]
Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu
Arxiv 2020

Towards Understanding Neural Machine Translation with Word Importance [arXiv] [BibTex]
Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi
In Proceedings of the Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP 2019), Hong Kong, Nov 3 - 7, 2019

Logzip: Extracting Hidden Structures via Iterative Clustering for Execution Log Compression [arXiv] [Code] [BibTex]
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
In Proceedings of the The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego, United States, Nov 11 - 15, 2019

Tools and Benchmarks for Automated Log Parsing [arXiv] [Code] [BibTex]
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
In Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE 2019), Montréal, QC, Canada, May 25 - 31, 2019

Identifying Impactful Service System Problems via Log Analysis [PDF] [Code] [BibTex]
Shilin He, Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang
In Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering(ESEC/FSE 2018), Lake Buena Vista, FL, USA, Nov 4 - 9, 2018

Characterizing the natural language descriptions in software logging statements [PDF] [Code] [BibTex]
Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu
In Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE 2018), Montpellier, France, Sept 03 - 07, 2018

Towards Automated Log Parsing for Large-scale Log Data Analysis [Journal] [PDF] [BibTex]
Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
IEEE Transactions on Dependable and Secure Computing (TDSC) (Volume: 15, Issue: 6, Nov.-Dec. 1, 2018)

Experience Report: System Log Analysis for Anomaly Detection [PDF] [Code] [BibTex]
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
In Proceedings of 2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE 2016), Ottawa, Canada, Oct 23-27, 2016
Selected as Most Influential Papers of 30 Years of ISSRE   [Link]

An Evaluation Study on Log Parsing and its Use in Log Mining [PDF] [Code] [BibTex]
Pinjia He, Jieming Zhu, Shilin He, Michael R. Lyu
In Proceedings of 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2016), Toulouse, France, Jun 28 - Jul 1, 2016