Yan Zhu

According to our database, Yan Zhu authored at least 23 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Matrix Profile IX: Admissible Time Series Motif Discovery With Missing Data.

Yan Zhu, Abdullah Mueen, Eamonn J. Keogh

IEEE Trans. Knowl. Data Eng., 2021

2020

The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.

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

Data Min. Knowl. Discov., 2020

Matrix profile goes MAD: variable-length motif and discord discovery in data series.

Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh

Data Min. Knowl. Discov., 2020

Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries.

Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Eamonn J. Keogh

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Fast Similarity Matrix Profile for Music Analysis and Exploration.

Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh

IEEE Trans. Multim., 2019

Introducing time series chains: a new primitive for time series data mining.

Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh

Knowl. Inf. Syst., 2019

The UCR time series archive.

Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh

IEEE CAA J. Autom. Sinica, 2019

Online Amnestic DTW to allow Real-Time Golden Batch Monitoring.

Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

The Matrix Profile: Scalable Algorithms and New Primitives for Time Series Data Mining.

Yan Zhu

PhD thesis, 2018

Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins.

Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh

Knowl. Inf. Syst., 2018

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.

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

Data Min. Knowl. Discov., 2018

Representation Learning by Reconstructing Neighborhoods.

Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh

CoRR, 2018

Admissible Time Series Motif Discovery with Missing Data.

Yan Zhu, Abdullah Mueen, Eamonn J. Keogh

CoRR, 2018

VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series.

Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh

Proceedings of the 2018 International Conference on Management of Data, 2018

Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series.

Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh

Proceedings of the 2018 International Conference on Management of Data, 2018

Time Series Chains: A Novel Tool for Time Series Data Mining.

Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds.

Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award).

Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Irrevocable-choice algorithms for sampling from a stream.

Yan Zhu, Eamonn J. Keogh

Data Min. Knowl. Discov., 2016

Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins.

Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2013

A Multi-order Markov Chain Based Scheme for Anomaly Detection.

Wenyao Sha, Yongxin Zhu, Tian Huang, Meikang Qiu, Yan Zhu, Qiannan Zhang

Proceedings of the IEEE 37th Annual Computer Software and Applications Conference, 2013

An LOF-Based Adaptive Anomaly Detection Scheme for Cloud Computing.

Tian Huang, Yan Zhu, Qiannan Zhang, Yongxin Zhu, Dongyang Wang, Meikang Qiu, Lei Liu

Proceedings of the IEEE 37th Annual Computer Software and Applications Conference, 2013