Education

Latest Papers

1. Yan Zhu et al. "The Swiss Army Knife of Time Series Data Mining: Ten Useful Things you can do with the Matrix Profile and Ten Lines of Code." To appear in Data Mining and Knowledge Discovery (DAMI) (2019)
2. Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov and Eamonn Keogh. "Online Amnestic DTW to allow Real-Time Golden Batch Monitoring." To appear in KDD2019 Applied Data Science Track (KDD'19) (2019) Supporting Page
3. Diego Romeres, Devesh Jha, Hoang Anh Dau, William Yerazunis and Daniel Nikovski "Anomaly Detection for Insertion Tasks in Robotic Assembly Using GaussianProcess Models." To appear in 2019 European Control Conference (ECC'19) (2019)
4. Hoang Anh Dau, Anthony Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana and Eamonn Keogh. "The UCR Time Series Archive." arXiv preprint arXiv:1810.07758 (2018) Supporting Page
5. Anthony Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam and Eamonn Keogh. "The UEA Multivariate Time Series Classification Archive, 2018." arXiv preprint arXiv:1811.00075 (2018) Supporting Page
6. Hoang Anh Dau, Diego Furtado Silva, Francois Petitjean, Germain Forestier, Anthony Bagnall, Abdullah Mueen and Eamonn Keogh. "Optimizing Dynamic Time Warping's Window Width for Time Series Data Mining Applications." Data Mining and Knowledge Discovery (DAMI) (2018) Supporting Page
7. Rodica Neamtu, Ramoza Ahsan, Elke A. Rundensteiner, Gabor Sarkozy, Eamonn Keogh, Hoang Anh Dau, Cuong Nguyen and Charles Lovering. "Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-wise Distances." International Conference in Data Engineering (ICDE), Paris, France (2018)
8. Emil Laftchiev, Xinmaio Sun, Hoang Anh Dau, Daniel Nikovski "Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables." 29th International Workshop on Principles of Diagnosis (2018)
9. Hoang Anh Dau and Eamonn Keogh. "Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery." ACM SIGKDD International Conference on Knowledge and Data Mining (KDD) , Halifax, Canada (2017) Supporting Page
10. Hoang Anh Dau, Diego Furtado Silva, Francois Petitjean, Germain Forestier, Anthony Bagnall and Eamonn Keogh. "Judicious Setting of Dynamic Time Warping's Warping Window Width allows more Accurate Classification of Time Series." IEEE International Conference on Big Data (Big Data) , Boston, USA (2017) Supporting Page
11. Germain Forestier, Francois Petitjean,Hoang Anh Dau, Geoffrey I. Webb and Eamonn Keogh. "Generating Synthetic Time Series to Augment Sparse Datasets." IEEE International Conference on Data Mining (ICDM), New Orleans, USA (2017) Supporting Page
12. Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen and Eamonn Keogh. "Time Series Joins, Motifs, Discords and Shapelets: a Unifying View that Exploits the Matrix Profile." Data Mining and Knowledge Discovery (DAMI) (2017) Supporting Page
13. Hoang Anh Dau, Nurjahan Begum, Eamonn Keogh. "Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping." ACM International Conference on Information and Knowledge Management (CIKM) , Indianapolis, USA (2016) Supporting Page

Miscellaneous

My advisor and I

My student profile in the 2015 brochure of the School of CS & IT at RMIT University in Melbourne, Australia

I was in the recruitment videos of MERL, where I did internship in summer 2017 and 2018. [1] , [2]

I like hats and flowers.

If you haven't seen a yak, here is one.