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Resume (English only)
Academic Achievements
- LogClass: Anomalous Log Identification and Classification with Partial Labels, IEEE TNSM, 2021
- LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning, ISSRE 2020
- A Semantic-aware Representation Framework for Online Log Analysis, ICCCN 2020
- LogParse: Making Log Parsing Adaptive through Word Classification, ICCCN 2020
- Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks, IEEE Access 2020
- ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks, INFOCOM 2020
- Storage Management Strategy in Mobile Phones for Photo Crowdsensing, Sensors 2020
- LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs, IJCAI 2019
- Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams, IPCCC 2018
- Device-Agnostic Log Anomaly Classification with Partial Labels, IWQoS 2018
- PreFix: Switch Failure Prediction in Datacenter Networks, SIGMETRICS 2018
- Syslog Processing for Switch Failure Diagnosis and Prediction in Datacenter Networks, IWQoS 2017
Research Experience
- Huawei 2012 Lab, from May 2018 to Dec 2020
- Baidu, from February 2016 to May 2018
Education
Ph.D. candidate at the Department of Computer Science and Technology and the Institute for Network Sciences and Cyberspace at Tsinghua University, supervised by Professors Dan Pei and Ying Liu, and Assistant Professor Shenglin Zhang.
Background
Ph.D. candidate in the Department of Computer Science and Technology and the Institute for Network Sciences and Cyberspace at Tsinghua University. Research interests include AIOps, log analysis, and anomaly detection.