12 citations · 27 across the 5 of their papers we have counts for
5 papers
Rapid Detection of Hot-spots via Tensor Decomposition with applications to Crime Rate Data
Yujie Zhao, Hao Yan, Sarah Holte +1
We propose an efficient statistical method (denoted as SSR-Tensor) to robustly and quickly detect hot-spots that are sparse and temporal-consistent in a spatial-temporal dataset th…
Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
Ziyue Li, Hao Yan, Chen Zhang +1
Spatiotemporal data is very common in many applications, such as manufacturing systems and transportation systems. It is typically difficult to be accurately predicted given intrin…
Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing
Hao Yan, Marco Grasso, Kamran Paynabar +1
The use of video-imaging data for in-line process monitoring applications has become more and more popular in the industry. In this framework, spatio-temporal statistical process m…
Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction
Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan +2
Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data. However, the low-rank structure is a global proper…
AKMD : An Adaptive Framework for Online Sensing and Anomaly Quantification
Hao Yan, Kamran Paynabar, Jianjun Shi
In point-based sensing systems such as coordinate measuring machines (CMM) and laser ultrasonics where complete sensing is impractical due to the high sensing time and cost, adapti…