Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM. - Junhao Zhou; Yue Lu 003; Hong-Ning Dai; Hao Wang 003; Hong Xiao (IEEE Access, 2019)

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)

Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths. - Yue Lu 003; Thirumalai Vinjamoor Akhil Srinivas; Takaaki Nakamura; Makoto Imamura; Eamonn J. Keogh (ICDM, 2023)

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)

Ultra-Fast, Accurate, and Practical Anomaly Detection Algorithms for Time Series Data - Yue Lu 003 (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)

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)