70 citations · 235 across the 11 of their papers we have counts for
11 papers
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems
Hao Yan, Nurretin Dorukhan Sergin, William A. Brenneman +2
In multistage manufacturing systems, modeling multiple quality indices based on the process sensing variables is important. However, the classic modeling technique predicts each qu…
Watching a Single Fluorophore Molecule Walk into a Plasmonic Hotspot
Ling Xin, Mo Lu, Steffen Both +7
Plasmonic nanoantennas allow for enhancing the spontaneous emission, altering the emission polarization, and shaping the radiation pattern of quantum emitters. A critical challenge…
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…