FastDTW is approximate and Generally Slower than the Algorithm it Approximates (Extended Abstract). - Renjie Wu 001; Eamonn J. Keogh (ICDE, 2021)

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. - Audrey Der; Chin-Chia Michael Yeh; Renjie Wu 001; Junpeng Wang 001; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (ICKG, 2022)

When is Early Classification of Time Series Meaningful? (Extended Abstract). - Renjie Wu 001; Audrey Der; Eamonn J. Keogh (ICDE, 2022)

Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract). - Renjie Wu 001; Eamonn J. Keogh (ICDE, 2022)

Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. - Yue Lu 003; Renjie Wu 001; Abdullah Mueen; Maria A. Zuluaga; Eamonn J. Keogh (KDD, 2022)

FastDTW is Approximate and Generally Slower Than the Algorithm it Approximates. - Renjie Wu 001; Eamonn J. Keogh (IEEE Trans. Knowl. Data Eng., 2022)

Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector. - Sadaf Tafazoli; Yue Lu 003; Renjie Wu 001; Thirumalai Vinjamoor Akhil Srinivas; Hannah Dela Cruz; Ryan Mercer; Eamonn J. Keogh (ICDM, 2023)

DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams. - Yue Lu 003; Renjie Wu 001; Abdullah Mueen; Maria A. Zuluaga; Eamonn J. Keogh (Data Min. Knowl. Discov., 2023)

When is Early Classification of Time Series Meaningful? - Renjie Wu 001; Audrey Der; Eamonn J. Keogh (IEEE Trans. Knowl. Data Eng., 2023)

Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress. - Renjie Wu 001; Eamonn J. Keogh (IEEE Trans. Knowl. Data Eng., 2023)

Problems with Problems in Data Mining - Renjie Wu 001 (2024)

C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector. - Sadaf Tafazoli; Yue Lu 003; Renjie Wu 001; Thirumalai Vinjamoor Akhil Srinivas; Hannah Dela Cruz; Ryan Mercer; Eamonn J. Keogh (Knowl. Inf. Syst., 2024)