Matrix profile ii: Exploiting a novel algorithm and gpus to break the one hundred million barrier for time series motifs and joins Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ... 2016 IEEE 16th international conference on data mining (ICDM), 739-748, 2016 | 100 | 2016 |

An open-source compiler and PCB synthesis tool for digital microfluidic biochips D Grissom, C Curtis, S Windh, C Phung, N Kumar, Z Zimmerman, ... INTEGRATION, the VLSI journal 51, 169-193, 2015 | 50 | 2015 |

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ... Data Mining and Knowledge Discovery 32 (1), 83-123, 2018 | 42 | 2018 |

Matrix profile XI: SCRIMP++: time series motif discovery at interactive speeds Y Zhu, CCM Yeh, Z Zimmerman, K Kamgar, E Keogh 2018 IEEE International Conference on Data Mining (ICDM), 837-846, 2018 | 24 | 2018 |

Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ... Knowledge and Information Systems 54 (1), 203-236, 2018 | 15 | 2018 |

Super‐Efficient Cross‐Correlation (SEC‐C): A fast matched filtering code suitable for desktop computers NS Senobari, GJ Funning, E Keogh, Y Zhu, CCM Yeh, Z Zimmerman, ... Seismological Research Letters 90 (1), 322-334, 2019 | 10 | 2019 |

Matrix profile XIV: scaling time series motif discovery with GPUs to break a quintillion pairwise comparisons a day and beyond Z Zimmerman, K Kamgar, NS Senobari, B Crites, G Funning, P Brisk, ... Proceedings of the ACM Symposium on Cloud Computing, 74-86, 2019 | 6* | 2019 |

PCB escape routing and layer minimization for digital microfluidic biochips J McDaniel, Z Zimmerman, D Grissom, P Brisk IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016 | 6 | 2016 |

Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile F Madrid, S Imani, R Mercer, Z Zimmerman, N Shakibay, E Keogh 2019 IEEE International Conference on Big Knowledge (ICBK), 175-182, 2019 | 2 | 2019 |

Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries Y Zhu, CCM Yeh, Z Zimmerman, E Keogh 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1846-1849, 2020 | | 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 Y Zhu, S Gharghabi, DF Silva, HA Dau, CCM Yeh, NS Senobari, ... DATA MINING AND KNOWLEDGE DISCOVERY, 2020 | | 2020 |

Using the similarity Matrix Profile to detect and study foreshocks and aftershocks of the 2019 Ridgecrest sequence NS Senobari, G Funning, Z Zimmerman, PM Shearer, P Brisk, E Keogh AGU Fall Meeting 2019, 2019 | | 2019 |

Using the similarity Matrix Profile to detect and study foreshocks and aftershocks of the 2019 Ridgecrest sequence N Shakibay Senobari, G Funning, Z Zimmerman, PM Shearer, P Brisk, ... AGUFM 2019, S31G-0513, 2019 | | 2019 |

Breaking Computational Barriers to Perform Time Series Pattern Mining at Scale and at the Edge ZP Zimmerman UC Riverside, 2019 | | 2019 |

Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile Z Zimmerman, NS Senobari, G Funning, E Papalexakis, S Oymak, P Brisk, ... IEEE International Conference on Data Mining, 2019 | | 2019 |

Using the similarity Matrix Profile to investigate foreshock behavior of the 2004 Parkfield earthquake NS Senobari, G Funning, Z Zimmerman, Y Zhu, E Keogh AGU Fall Meeting 2018, 2018 | | 2018 |

The Similarity Matrix Profile, an efficient method for detecting seismic events in very long time series G Funning, NS Senobari, Z Zimmerman, Y Zhu, E Keogh AGU Fall Meeting 2018, 2018 | | 2018 |

The Similarity Matrix Profile, an efficient method for detecting seismic events in very long time series N Shakibay Senobari, G Funning, Z Zimmerman, Y Zhu, E Keogh AGUFM 2018, S33B-05, 2018 | | 2018 |

Using the similarity Matrix Profile to investigate foreshock behavior of the 2004 Parkfield earthquake N Shakibay Senobari, G Funning, Z Zimmerman, Y Zhu, E Keogh AGUFM 2018, S51B-03, 2018 | | 2018 |

Analog, Mixed-Signal, and RF Circuits Layout Symmetries: Quantification and Application to Cancel Nonlinear Process Gradients................... CC McAndrew 1 An Automated … M Zhao, Y Xue, J Hu, C Yang, T Liu, Z Jia, CJ Xue, S Windh, C Phung, ... | | |