Welcome
Curious about how to write my Chinese name? It’s simply 吴仁杰.
About me
I’m currently a 5th year Ph.D student with the Department of Computer Science and Engineering at University of California, Riverside. My advisor is brilliant Dr. Eamonn Keogh. My research interest includes time series analysis, data mining, and machine learning.
Education
- University of California, Riverside
2017 - Present · Ph.D Student in Computer Science
2016 - 2017 · Visiting Student in Computer Science - Harbin Institute of Technology at Weihai
2013 - 2017 · B.Sc. in Computer Science and Technology - National Taiwan University
2015 - 2016 · Visiting Student in Computer Science & Information Engineering
- University of California, Riverside
Professional Activities
- Program Committee (PC) Member
- KDD MiLeTS 2022 · 8th SIGKDD International Workshop on Mining and Learning from Time Series
- Journal Reviewer
- DMKD · Springer Journal of Data Mining and Knowledge Discovery
- TIST · ACM Transactions on Intelligent Systems and Technology
- Program Committee (PC) Member
Selected Honors & Awards
- Dean’s Distinguished Fellowship
Sep. 2017 · University of California, Riverside - Outstanding Graduate (山东省优秀毕业生)
May. 2017 · Dept. Human Resources & Social Security of Shandong, China - Outstanding Model of Student Leaders (哈工大优秀学生干部标兵)
Dec. 2014 · Harbin Institute of Technology - National Scholarship (国家奖学金)
Nov. 2014 · Ministry of Education, China
- Dean’s Distinguished Fellowship
Certifications
- Microsoft Certified System Administrator
Aug. 2009 · Microsoft - Microsoft Certified IT Professional
Feb. 2009 · Microsoft - Microsoft Certified Technology Specialist
Dec. 2008 · Microsoft
- Microsoft Certified System Administrator
News
2022
- May. 18: Our paper “Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams” is accepted by ACM SIGKDD2022.
- Jan. 25: Extended abstract of “Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress” is accepted by IEEE ICDE2022.
- Jan. 25: Extended abstract of “When is Early Classification of Time Series Meaningful?” is accepted by IEEE ICDE2022.
2021
- Sep. 9: Our paper “Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress” is accepted by IEEE TKDE.
- Aug. 24: Our paper “When is Early Classification of Time Series Meaningful?” is accepted by IEEE TKDE.
- Aug. 14: The Hexagon ML/UCR Time Series Anomaly Archive is now available: https:
// www .cs .ucr .edu /~eamonn /time _series _data _2018 /UCR _Time Series Anomaly Datasets2021.zip. - Mar. 15: Our time series anomaly detection contest is now live. Go to https://compete.hexagon-ml.com/practice/competition/39/ for details.
- Jan. 25: Extended abstract of “FastDTW is approximate and Generally Slower than the Algorithm it Approximates” is accepted by IEEE ICDE2021.
2020
- Oct. 23: Our paper “FastDTW is approximate and Generally Slower than the Algorithm it Approximates” is accepted by IEEE TKDE.
Publications
Conference
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Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams
Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn Keogh
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2022)
↪ [pdf] [supporting page] -
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract)
Renjie Wu, Eamonn J. Keogh
38th IEEE International Conference on Data Engineering (ICDE2022), pp. 1479-1480
↪ [pdf] [supporting page] -
When is Early Classification of Time Series Meaningful? (Extended Abstract)
Renjie Wu, Audrey Der, Eamonn J. Keogh
38th IEEE International Conference on Data Engineering (ICDE2022), pp. 1477-1478
↪ [pdf] [supporting page] -
FastDTW is approximate and Generally Slower than the Algorithm it Approximates (Extended Abstract)
Renjie Wu, Eamonn J. Keogh
37th IEEE International Conference on Data Engineering (ICDE2021), pp. 2327-2328
↪ [pdf] [doi] [supporting page]
Journal
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When is Early Classification of Time Series Meaningful?
Renjie Wu, Audrey Der, Eamonn J. Keogh
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
↪ [pdf] [doi] [supporting page] -
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
Renjie Wu, Eamonn J. Keogh
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
↪ [pdf] [doi] [supporting page] -
FastDTW is approximate and Generally Slower than the Algorithm it Approximates
Renjie Wu, Eamonn J. Keogh
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
↪ [pdf] [doi] [supporting page]