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ORCIDYan Zhu 0014
Person information
- affiliation: University of California, Riverside, CA, USA
- affiliation (until 2013): Shanghai Jiao Tong University, School of Microelectronics, China
Other persons with the same name
- Yan Zhu — disambiguation page
- Yan Zhu 0001
![[0000-0002-9610-0641]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9610-0641")
— University of Macau, Analog and Mixed Signal VLSI Laboratory, Macao, China - Yan Zhu 0002 — Stanford University, CA, USA
- Yan Zhu 0003 — Northwestern University, Evanston, IL, USA
- Yan Zhu 0004 — University of Sydney, Department of Electrical Engineering, Australia
- Yan Zhu 0005 — Nanjing Agricultural University, China
- Yan Zhu 0006 — Monash University, Department of Medicinal Chemistry, Melbourne, Australia
- Yan Zhu 0007 — Southwest Jiaotong University, Chengdu, China (and 1 more)
- Yan Zhu 0008 — East China University of Science and Technology, Department of Mathematics, Shanghai, China (and 2 more)
- Yan Zhu 0009 — Facebook, Applied Machine Learning, USA (and 2 more)
- Yan Zhu 0010 — University of Science and Technology Beijing, China (and 3 more)
- Yan Zhu 0011 — Tsinghua University, Department of Management Science & Engineering, Beijing, China
- Yan Zhu 0012 — Beijing Jiaotong University, China
- Yan Zhu 0013 — New Mexico University, Albuquerque, NM, USA
- Yan Zhu 0015 — Shanghai Jiao Tong University, School of Mathematical Sciences, China
- Yan Zhu 0016 — Chinese Academy of Sciences, State Key Laboratory of Computer Architecture, Beijing, China
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Books and Theses
- 2018
[b1]Yan Zhu:
The Matrix Profile: Scalable Algorithms and New Primitives for Time Series Data Mining. University of California, Riverside, USA, 2018
Journal Articles
- 2021
- [j9]Yan Zhu, Abdullah Mueen, Eamonn J. Keogh:
Matrix Profile IX: Admissible Time Series Motif Discovery With Missing Data. IEEE Trans. Knowl. Data Eng. 33(6): 2616-2626 (2021) - 2020
- [j8]Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth J. Funning, Abdullah Mueen, Eamonn J. Keogh:
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. Data Min. Knowl. Discov. 34(4): 949-979 (2020) - [j7]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix profile goes MAD: variable-length motif and discord discovery in data series. Data Min. Knowl. Discov. 34(4): 1022-1071 (2020) - 2019
- [j6]Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh:
The UCR time series archive. IEEE CAA J. Autom. Sinica 6(6): 1293-1305 (2019) - [j5]Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Introducing time series chains: a new primitive for time series data mining. Knowl. Inf. Syst. 60(2): 1135-1161 (2019) - [j4]Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh:
Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans. Multim. 21(1): 29-38 (2019) - 2018
- [j3]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 32(1): 83-123 (2018) - [j2]Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh:
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins. Knowl. Inf. Syst. 54(1): 203-236 (2018) - 2016
- [j1]Yan Zhu, Eamonn J. Keogh:
Irrevocable-choice algorithms for sampling from a stream. Data Min. Knowl. Discov. 30(5): 998-1023 (2016)
Conference and Workshop Papers
- 2020
- [c11]Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Eamonn J. Keogh:
Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries. ICDE 2020: 1846-1849 - 2019
- [c10]Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh:
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. KDD 2019: 2604-2612 - 2018
- [c9]Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh:
Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. ICDM 2018: 837-846 - [c8]Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Time Series Chains: A Novel Tool for Time Series Data Mining. IJCAI 2018: 5414-5418 - [c7]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series. SIGMOD Conference 2018: 1053-1066 - [c6]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. SIGMOD Conference 2018: 1757-1760 - 2017
- [c5]Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award). ICDM 2017: 695-704 - 2016
- [c4]Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh:
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. ICDM 2016: 739-748 - [c3]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM 2016: 1317-1322 - 2013
- [c2]Wenyao Sha, Yongxin Zhu, Tian Huang, Meikang Qiu, Yan Zhu, Qiannan Zhang:
A Multi-order Markov Chain Based Scheme for Anomaly Detection. COMPSAC Workshops 2013: 83-88 - [c1]Tian Huang, Yan Zhu, Qiannan Zhang, Yongxin Zhu, Dongyang Wang, Meikang Qiu, Lei Liu:
An LOF-Based Adaptive Anomaly Detection Scheme for Cloud Computing. COMPSAC Workshops 2013: 206-211
Informal and Other Publications
- 2020
- [i5]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. CoRR abs/2008.13432 (2020) - [i4]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series. CoRR abs/2008.13447 (2020) - 2018
- [i3]Yan Zhu, Abdullah Mueen, Eamonn J. Keogh:
Admissible Time Series Motif Discovery with Missing Data. CoRR abs/1802.05472 (2018) - [i2]Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh:
The UCR Time Series Archive. CoRR abs/1810.07758 (2018) - [i1]Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh:
Representation Learning by Reconstructing Neighborhoods. CoRR abs/1811.01557 (2018)
Coauthor Index
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