Pinjia He

Postdoctoral Scholar

Department of Computer Science
ETH Zurich

Email: pinjia.he at inf.ethz.ch

General

Pinjia is a postdoctoral scholar in the Advanced Software Technologies (AST) Lab at ETH Zurich, mentored by Prof. Zhendong Su. He is working on software reliability for both intelligent software and traditional software. In his recent work, he has been focusing on automatically testing Machine Translation, part of which he found 1000+ translation errors from Google Translate and Bing Microsoft Translator.

Pinjia received his Ph.D. from The Chinese University of Hong Kong in 2018, supervised by Prof. Michael R. Lyu, where he worked on an end-to-end solution to intelligently manage and analyze logs for modern production systems (project LogPAI). LogPAI has received 2,000+ stars and 800+ forks and the datasets Loghub have been downloaded for 30,000+ times by 380+ organizations.

Research Interests

Software engineering; Natural language processing; Blockchain.

Selected Publications

A Survey on Automated Log Analysis for Reliability Engineering

Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu. CSUR'21

SanRazor: Reducing Redundant Sanitizer Checks in C/C++ Programs

Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su. OSDI'21 (conditional accept)

Testing Machine Translation via Referential Transparency

Pinjia He, Clara Meister, Zhendong Su. ICSE'21

Machine Translation Testing via Pathological Invariance

Shashij Gupta, Pinjia He, Clara Meister, Zhendong Su. ESEC/FSE'20

Structure-Invariant Testing for Machine Translation

Pinjia He, Clara Meister, Zhendong Su. ICSE'20

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression

Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu. ASE'19

Characterizing the Natural Language Descriptions in Software Logging Statements

Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu. ASE'18

Towards Automated Log Parsing for Large-Scale Log Data Analysis

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu. TDSC'18

Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu. TPDS'17

Drain: An Online Log Parsing Approach with Fixed Depth Tree

Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu. ICWS'17
Adopted by IBM Cloud: [blog post][IBM's code]

An Evaluation Study on Log Parsing and Its Use in Log Mining

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu. DSN'16

Experience Report: System Log Analysis for Anomaly Detection

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu. ISSRE'16
Most Influential Paper (26 selected in 30 years)