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8 changes: 4 additions & 4 deletions docs/contributor.rst
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Contributors
============

- `Jieming Zhu<http://jiemingzhu.github.io>`_, The Chinese University of Hong Kong, currently at Huawei 2012 Labs.
- `Pinjia He<http://appsrv.cse.cuhk.edu.hk/~pjhe/>`_, The Chinese University of Hong Kong
- `Shilin He<https://shilinhe.github.io/>`_, The Chinese University of Hong Kong
- `Jinyang Liu<https://github.com/JinYang88>`_, Sun Yat-Sen University
- `Jieming Zhu <http://jiemingzhu.github.io>`_, The Chinese University of Hong Kong, currently at Huawei 2012 Labs.
- `Pinjia He <http://appsrv.cse.cuhk.edu.hk/~pjhe/>`_, The Chinese University of Hong Kong
- `Shilin He <https://shilinhe.github.io/>`_, The Chinese University of Hong Kong
- `Jinyang Liu <https://github.com/JinYang88>`_, Sun Yat-Sen University
84 changes: 42 additions & 42 deletions docs/reference.md
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Reference
=========

#. [**ICPC'18**] Salma Messaoudi, Annibale Panichella, Domenico Bianculli, Lionel Briand, Raimondas Sasnauskas. [A Search-based Approach for Accurate Identification of Log Message Formats](http://publications.uni.lu/bitstream/10993/35286/1/ICPC-2018.pdf), *IEEE/ACM International Conference on Program Comprehension (ICPC)*, 2018.
1. [**ICPC'18**] Salma Messaoudi, Annibale Panichella, Domenico Bianculli, Lionel Briand, Raimondas Sasnauskas. [A Search-based Approach for Accurate Identification of Log Message Formats](http://publications.uni.lu/bitstream/10993/35286/1/ICPC-2018.pdf), *IEEE/ACM International Conference on Program Comprehension (ICPC)*, 2018.

#. [**ICWS'17**] Pinjia He, Jieming Zhu, Zibin Zheng, and Michael R. Lyu. [Drain: An Online Log Parsing Approach with Fixed Depth Tree](http://jiemingzhu.github.io/pub/pjhe_icws2017.pdf), *IEEE International Conference on Web Services (ICWS)*, 2017.
1. [**ICWS'17**] Pinjia He, Jieming Zhu, Zibin Zheng, and Michael R. Lyu. [Drain: An Online Log Parsing Approach with Fixed Depth Tree](http://jiemingzhu.github.io/pub/pjhe_icws2017.pdf), *IEEE International Conference on Web Services (ICWS)*, 2017.

#. [**ICDM'16**] Min Du, Feifei Li. [Spell: Streaming Parsing of System Event Logs](https://www.cs.utah.edu/~lifeifei/papers/spell.pdf), *IEEE International Conference on Data Mining (ICDM)*, 2016.
1. [**ICDM'16**] Min Du, Feifei Li. [Spell: Streaming Parsing of System Event Logs](https://www.cs.utah.edu/~lifeifei/papers/spell.pdf), *IEEE International Conference on Data Mining (ICDM)*, 2016.

#. [**CNSM'15**] Risto Vaarandi, Mauno Pihelgas. [LogCluster - A Data Clustering and Pattern Mining Algorithm for Event Logs](http://ristov.github.io/publications/cnsm15-logcluster-web.pdf), *International Conference on Network and Service Management (CNSM)*, 2015.
1. [**CNSM'15**] Risto Vaarandi, Mauno Pihelgas. [LogCluster - A Data Clustering and Pattern Mining Algorithm for Event Logs](http://ristov.github.io/publications/cnsm15-logcluster-web.pdf), *International Conference on Network and Service Management (CNSM)*, 2015.

#. [**CNSM'15**] Keiichi Shima. [Length Matters: Clustering System Log Messages using Length of Words](https://arxiv.org/pdf/1611.03213.pdf), *International Conference on Network and Service Management (CNSM)*, 2015.
1. [**CNSM'15**] Keiichi Shima. [Length Matters: Clustering System Log Messages using Length of Words](https://arxiv.org/pdf/1611.03213.pdf), *International Conference on Network and Service Management (CNSM)*, 2015.

#. Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios. [A Lightweight Algorithm for Message Type Extraction in System Application Logs](http://ieeexplore.ieee.org/abstract/document/5936060/), *IEEE Transactions on Knowledge and Data Engineering (TKDE)*, 2012.
1. Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios. [A Lightweight Algorithm for Message Type Extraction in System Application Logs](http://ieeexplore.ieee.org/abstract/document/5936060/), *IEEE Transactions on Knowledge and Data Engineering (TKDE)*, 2012.

#. Liang Tang, Tao Li, Chang-Shing Perng. [LogSig: Generating System Events from Raw Textual Logs](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.222.9320&rep=rep1&type=pdf), *ACM International Conference on Information and Knowledge Management (CIKM)*, 2011.
1. Liang Tang, Tao Li, Chang-Shing Perng. [LogSig: Generating System Events from Raw Textual Logs](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.222.9320&rep=rep1&type=pdf), *ACM International Conference on Information and Knowledge Management (CIKM)*, 2011.

#. Meiyappan Nagappan, Mladen A. Vouk. [Abstracting Log Lines to Log Event Types for Mining Software System Logs](http://www.se.rit.edu/~mei/publications/pdfs/Abstracting-Log-Lines-to-Log-Event-Types-for-Mining-Software-System-Logs.pdf), *International Working Conference on Mining Software Repositories (MSR)*, 2010.
1. Meiyappan Nagappan, Mladen A. Vouk. [Abstracting Log Lines to Log Event Types for Mining Software System Logs](http://www.se.rit.edu/~mei/publications/pdfs/Abstracting-Log-Lines-to-Log-Event-Types-for-Mining-Software-System-Logs.pdf), *International Working Conference on Mining Software Repositories (MSR)*, 2010.





#. Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios. [Clustering Event Logs Using Iterative Partitioning](https://web.cs.dal.ca/~makanju/publications/paper/kdd09.pdf), *Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)*, 2009.
1. Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios. [Clustering Event Logs Using Iterative Partitioning](https://web.cs.dal.ca/~makanju/publications/paper/kdd09.pdf), *Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)*, 2009.

#. Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li. [Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/DM790-CR.pdf), *Proceedings of IEEE International Conference on Data Mining (ICDM)*, 2009.
1. Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li. [Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/DM790-CR.pdf), *Proceedings of IEEE International Conference on Data Mining (ICDM)*, 2009.

#. Risto Vaarandi. [A Data Clustering Algorithm for Mining Patterns from Event Logs](http://www.quretec.com/u/vilo/edu/2003-04/DM_seminar_2003_II/ver1/P12/slct-ipom03-web.pdf), *Proceedings of the 3rd IEEE Workshop on IP Operations & Management (IPOM)*, 2003.
1. Risto Vaarandi. [A Data Clustering Algorithm for Mining Patterns from Event Logs](http://www.quretec.com/u/vilo/edu/2003-04/DM_seminar_2003_II/ver1/P12/slct-ipom03-web.pdf), *Proceedings of the 3rd IEEE Workshop on IP Operations & Management (IPOM)*, 2003.

#. A. Gainaru, F. Cappello, S. Trausan-Matu, B. Kramer. Event Log Mining Tool for Large Scale HPC Systems, in Euro-Par, 2011.
1. A. Gainaru, F. Cappello, S. Trausan-Matu, B. Kramer. Event Log Mining Tool for Large Scale HPC Systems, in Euro-Par, 2011.

#. H. C. Xia Ning, Geoff Jiang, K. Yoshihira. HLAer:a System for Heterogeneous Log Analysis, in SDM Workshop on Heterogeneous Learning, 2014.
1. H. C. Xia Ning, Geoff Jiang, K. Yoshihira. HLAer:a System for Heterogeneous Log Analysis, in SDM Workshop on Heterogeneous Learning, 2014.

#. 2016-[CIKM] LogMine:Fast Pattern Recognition for Log Analytics,
1. 2016-[CIKM] LogMine:Fast Pattern Recognition for Log Analytics,

#. 2016-[KDD] Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs
1. 2016-[KDD] Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs

#. 2016 - Extracting Log Patterns from System Logs in LARGE
1. 2016 - Extracting Log Patterns from System Logs in LARGE

#. 2015 - An Automatic Approach to Extract the Formats of Network and Security Log Messages
1. 2015 - An Automatic Approach to Extract the Formats of Network and Security Log Messages


#. 2014-[MSR] - Unsupervised Discovery of Intentional Process Models from Event Logs
1. 2014-[MSR] - Unsupervised Discovery of Intentional Process Models from Event Logs

#. 2014 - Towards an NLP-based Log Template Generation Algorithm for System Log Analysis
1. 2014 - Towards an NLP-based Log Template Generation Algorithm for System Log Analysis

#. 2013-[CIKM] - Searching Similar Segments over Textual Event Sequences
1. 2013-[CIKM] - Searching Similar Segments over Textual Event Sequences

#. 2013-[BigMine] - CAPRI:A Tool for Mining Complex Line Patterns in Large Log Data
1. 2013-[BigMine] - CAPRI:A Tool for Mining Complex Line Patterns in Large Log Data

#. 2011 - Event Log Mining Tool for Large Scale HPC Systems
1. 2011 - Event Log Mining Tool for Large Scale HPC Systems

#. 2010-[SIGOPS OS Review] - Incremental Learning of System Log Formats
1. 2010-[SIGOPS OS Review] - Incremental Learning of System Log Formats

#. 2010-[MSR] - Abstracting Log Lines to Log Event Types for Mining Software System Logs
1. 2010-[MSR] - Abstracting Log Lines to Log Event Types for Mining Software System Logs

#. 2010-[ICDM] - LogTree:A Framework for Generating System Events from Raw Textual Logs
1. 2010-[ICDM] - LogTree:A Framework for Generating System Events from Raw Textual Logs

#. 2008 - An automated approach for abstracting execution logs to execution events
1. 2008 - An automated approach for abstracting execution logs to execution events

#. 2008 - Abstracting Execution Logs to Execution Events for Enterprise Applications
1. 2008 - Abstracting Execution Logs to Execution Events for Enterprise Applications

#. Proactive Failure Detection Learning Generation Patterns of Large-scale Network Logs
1. Proactive Failure Detection Learning Generation Patterns of Large-scale Network Logs

#. [2004] A Breadth-First Algorithm for Mining Frequent Patterns from Event Logs
1. [2004] A Breadth-First Algorithm for Mining Frequent Patterns from Event Logs

#. [2008][NOMS] Mining Event Logs with SLCT and Loghound
1. [2008][NOMS] Mining Event Logs with SLCT and Loghound

#. [2009][SOSP] Large-Scale System Problem Detection by Mining Console Logs
1. [2009][SOSP] Large-Scale System Problem Detection by Mining Console Logs

#. [2009][ISSRE] Efficiently Extracting Operational Profiles from Execution Logs Using Suffix Arrays
1. [2009][ISSRE] Efficiently Extracting Operational Profiles from Execution Logs Using Suffix Arrays

#. [2010] Incremental Learning of System Log Formats
1. [2010] Incremental Learning of System Log Formats

#. [2016] Event Log Analysis with the LogCluster Tool
1. [2016] Event Log Analysis with the LogCluster Tool

#. [2017] Towards a Neural Language Model for Signature Extraction from Forensic Logs
1. [2017] Towards a Neural Language Model for Signature Extraction from Forensic Logs

#. 2013-[BigMine] - CAPRI:A Tool for Mining Complex Line Patterns in Large Log Data
1. 2013-[BigMine] - CAPRI:A Tool for Mining Complex Line Patterns in Large Log Data

#. 2014 - Towards an NLP-based Log Template Generation Algorithm for System Log Analysis
1. 2014 - Towards an NLP-based Log Template Generation Algorithm for System Log Analysis

#. T. Kimura, A. Watanabe, T. Toyono, and
1. T. Kimura, A. Watanabe, T. Toyono, and
K. Ishibashi. Proactive Failure Detection Learning
Generation Patterns of Large-scale Network
Logs. In Proceedings of the 11th International
Conference on Network and Service Management
(CNSM 2015), pages 8–14, Nov 2015.

#. 2016-[KDD] - Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs
1. 2016-[KDD] - Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs

#. A data streaming algorithm for signature generation and clustering of log messages
1. A data streaming algorithm for signature generation and clustering of log messages

#. Length Matters: Clustering System Log Messages using Length of Words
1. Length Matters: Clustering System Log Messages using Length of Words



#. Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets
1. Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets

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