Hao Yan
Hao Yan
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Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Multivariate functional data from a complex system are naturally high-dimensional and have complex cross-correlation structure. The …
Chen Zhang
,
Hao Yan
,
Seungho Lee
,
Jianjun Shi
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DOI
Long-short term spatiotemporal tensor prediction for passenger flow profile
Long-short term spatiotemporal tensor prediction for passenger flow profile
Ziyue Li
,
Hao Yan
,
Chen Zhang
,
Fugee Tsung
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data
In recent years, measurement or collection of heterogeneous sets of data such as those containing scalars, waveform signals, images, …
Mostafa Reisi-Gahrooei
,
Hao Yan
,
Kamran Paynabar
,
Jianjun Shi
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DOI
Partially observable online change detection via smooth-sparse decomposition
Partially observable online change detection via smooth-sparse decomposition
Jie Guo
,
Hao Yan
,
Chen Zhang
,
Steven Hoi
Performance Evaluation of Production Systems Using Real-Time Machine Degradation Signals
A machine’s degradation status directly influences the operational performance of the production system, such as productivity and …
Yunyi Kang
,
Hao Yan
,
Feng Ju
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DOI
Simultaneous material microstructure classification and discovery via hidden Markov modeling of acoustic emission signals
Simultaneous material microstructure classification and discovery via hidden Markov modeling of acoustic emission signals
Xinyu Zhao
,
Ashif Iquebal
,
Huifeng Sun
,
Hao Yan
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Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather
With ahead-of-time aircraft management, we are able to re- duce aircraft collision and improve air traffic capacity. How- ever, there …
Xinyu Zhao
,
Hao Yan
,
Jing Li
,
Yutian Pang
,
Yongming Liu
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DOI
Image-Based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection
Image-based process monitoring has recently attracted increasing attention due to the advancement of the sensing technologies. However, …
Hao Yan
,
Huai Ming Yeh
,
Nuretin Sergin
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DOI
Physics-Based Deep Spatio-Temporal Metamodeling for Cardiac Electrical Conduction Simulation
Modeling and simulation have been widely used in both cardiac research and clinical study to investigate cardiac disease mechanism and …
Hao Yan
,
Xinyu Zhao
,
Zhiyong Hu
,
Dongping Du
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DOI
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization
Advanced 3D metrology technologies such as coordinate measuring machine and laser 3D scanners have facilitated the collection of …
Hao Yan
,
Kamran Paynabar
,
Massimo Pacella
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DOI
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