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ORCIDYue Lu 0003
Person information
- affiliation: University of California, Riverside, CA, USA
Other persons with the same name
- Yue Lu — disambiguation page
- Yue Lu 0001
![[0000-0002-8784-4657]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8784-4657")
— East China Normal University, School of Communications and Electronic Engineering, Shanghai Key Laboratory of Multidimensional Information Processing, China - Yue Lu 0002 — Twitter (and 1 more)
- Yue Lu 0004 — South China University of Technology, Guangzhou, China
- Yue Lu 0005 — INRIA Nancy Grand Est, Nancy, France (and 1 more)
- Yue Lu 0006 — Delft University of Technology, The Netherlands
- Yue Lu 0007 — Qualcomm Atheros Inc., San Jose, CA, USA (and 1 more)
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2020 – today
- 2024
[j3]Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh:
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector. Knowl. Inf. Syst. 66(8): 4789-4823 (2024)- 2023
- [b1]Yue Lu:
Ultra-Fast, Accurate, and Practical Anomaly Detection Algorithms for Time Series Data. University of California, Riverside, USA, 2023 - [j2]Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh:
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams. Data Min. Knowl. Discov. 37(2): 627-669 (2023) - [c4]Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh:
Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector. ICDM 2023: 568-577 - [c3]Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, Eamonn J. Keogh:
Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths. ICDM 2023: 1199-1204 - 2022
- [c2]Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh:
Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. KDD 2022: 1173-1182
2010 – 2019
- 2019
- [j1]Junhao Zhou, Yue Lu, Hong-Ning Dai, Hao Wang, Hong Xiao:
Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM. IEEE Access 7: 38856-38866 (2019) - 2018
- [c1]Yue Lu, Junhao Zhou, Hong-Ning Dai, Hao Wang, Hong Xiao:
Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM. I-SPAN 2018: 162-167
Coauthor Index
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