Pinjia He

Postdoctoral Scholar

Department of Computer Science
ETH Zurich

Email: pinjia.he at inf.ethz.ch

General

Pinjia is a postdoctoral scholar at ETH Zurich, working with Prof. Zhendong Su. He received his Ph.D. from The Chinese University of Hong Kong in 2018, supervised by Prof. Michael R. Lyu.

Our project LogPAI (1500+ stars in total) aims to provide an end-to-end solution to intelligently manage and analyze logs for modern production systems.

Research Interests

Robust intelligent software; AIOps; Log management; Data-driven software engineering.

Selected Publications

Research Paper Highlight: ICSE(2), ESEC/FSE(1), ASE(2), DSN(1), TDSC(1), TPDS(1)

Shashij Gupta, Pinjia He, Clara Meister, Zhendong Su
Machine Translation Testing via Pathological Invariance
ESEC/FSE'20: Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020.

Pinjia He, Clara Meister, Zhendong Su
Structure-Invariant Testing for Machine Translation
ICSE'20: Proceedings of the 42nd International Conference on Software Engineering, 2020.

Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
ASE'19: The 34th IEEE/ACM International Conference on Automated Software Engineering, 2019.

Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, and Michael R. Lyu
Tools and Benchmarks for Automated Log Parsing
ICSE'19: The 41st International Conference on Software Engineering, SEIP Track, 2019.

Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu
Characterizing the Natural Language Descriptions in Software Logging Statements
ASE'18: The 33rd IEEE/ACM International Conference on Automated Software Engineering, 2018.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
Towards Automated Log Parsing for Large-Scale Log Data Analysis
TDSC'18: IEEE Transactions on Dependable and Secure Computing, 2018.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization
TPDS'17: IEEE Transactions on Parallel and Distributed Systems, 2017.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
An Evaluation Study on Log Parsing and Its Use in Log Mining
DSN'16: The 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016.

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
Experience Report: System Log Analysis for Anomaly Detection
ISSRE'16: Proceedings of the 27th International Symposium on Software Reliability Engineering, 2016.
Most Influential Papers (26 selected in 30 years)

Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang
Learning to Log: Helping Developers Make Informed Logging Decisions
ICSE'15: Proceedings of the 37th International Conference on Software Engineering, 2015.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation
ICDCS'14: The 34th International Conference on Distributed Computing Systems, 2014.