Yihan's research focuses on designing scalable parallel algorithms with both strong theoretical guarantees and high performance in practice. The project aims to build theoretical foundations to achieve simple and practical parallel algorithms.
The award is for "Dynamic Time Warping Averaging of Time Series allows Faster and more Accurate Classification" which Dr. Keogh wrote with his student Yanping Chen and collaborators from Australia and France. This is the second 10-year highest-impact paper award that Dr. Keogh’s lab has won in recent years, with a 10-year highest-impact paper award...
The paper is “Matrix Profile XXIX: C22MP: Fusing catch22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector”, by Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Srinivas, Hannah Dela Cruz, Ryan Mercer, and Eamonn Keogh. Co-author Yue Lu will present the work in Shanghai, China in December.
