Hao Yan
Hao Yan
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Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data. …
Ziyue Li
,
Nurettin Dorukhan Sergin
,
Hao Yan
,
Chen Zhang
,
Fugee Tsung
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DOI
AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
In point-based sensing systems such as coordinate measuring machines and laser ultrasonics where complete sensing is impractical due to …
Hao Yan
,
Kamran Paynabar
,
Jianjun Shi
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DOI
Artificial Intelligence for PV Solar Plant Information Fusion
Data-driven control for Manufacturing Systems
link
Multi-Sensor Prognostics Modeling for Applications with Highly Incomplete Signals
Multi-stream degradation signals have been widely used to predict the residual useful lifetime of partially degraded systems. To …
Xiaolei Fang
,
Hao Yan
,
Nagi Gebraeel
,
Kamran Paynabar
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DOI
Artificial Intelligence for Manufacturing Quality Modeling
AI for quality prediction in Manufacturing Systems
Hybridizing Data and Model Driven Approaches for Proactive Production Control
Data-driven control for Manufacturing Systems
link
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
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
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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Project
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
,
Nurettin Sergin
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Project
DOI
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