Postdoctoral Scholar

Department of Computer Science
ETH Zurich

Email: pinjia.he at inf.ethz.ch

[DBLP] [Google Scholar] [Github]

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 (1000+ 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; Big code; Log management; Data-driven software engineering.

Selected Publications

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

• Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
  Logzip: Extracting Hidden Structures via Iterative Clustering for Execution 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, Pengcheng Xu, Zibin Zheng, Michael R. Lyu
  A Directed Acyclic Graph Approach to Online Log Parsing
  arXiv:1806.04356, 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, Zibin Zheng, Michael R. Lyu
  Drain: An Online Log Parsing Approach with Fixed Depth Tree
  ICWS'17: The 24th International Conference on Web Service, 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.
  ISSRE Most Influential Papers.
  

• 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.
  

Services

• ASE Demo Track
  2019

• TSE, TOSEM
  2019

• TSE, TOSEM, STVR, COSE
  2018

• TKDE
  2017

• ICSE
  2019

• IJCAI, ICDCS, DSN
  2018

• ICDCS, ISSRE
  2017

• ICSE, DSN, WWW, KDD, ISSRE
  2016

• ICSE, WWW, NIPS, ISSRE, WSDM
  2015

Honors and Awards