Andi Wang
Orcid: 0000-0003-4925-1962Affiliations:
- Arizona State University, Polytechnic School, Mesa, AZ, USA
- Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA (PhD 2021)
- Hong Kong University of Science and Technology, Department of Industrial Engineering and Logistics Management, Hong Kong (former)
According to our database1,
Andi Wang
authored at least 15 papers
between 2014 and 2023.
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Bibliography
2023
IEEE Trans Autom. Sci. Eng., October, 2023
SGL-PCA: Health Index Construction With Sensor Sparsity and Temporal Monotonicity for Mixed High-Dimensional Signals.
IEEE Trans Autom. Sci. Eng., 2023
Efficient online cross-covariance monitoring with incremental SVD: An approach for the detection of emerging dependency patterns in IoT systems.
CoRR, 2023
Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things.
CoRR, 2023
Ano-SuPs: Multi-size anomaly detection for manufactured products by identifying suspected patches.
CoRR, 2023
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering.
CoRR, 2023
A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation.
Technometrics, 2022
Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties.
IEEE Trans Autom. Sci. Eng., 2022
IEEE Trans Autom. Sci. Eng., 2022
2021
Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs.
IISE Trans., 2021
2018
A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams.
Technometrics, 2018
2017
In-Plane Shape-Deviation Modeling and Compensation for Fused Deposition Modeling Processes.
IEEE Trans Autom. Sci. Eng., 2017
A Statistical Transfer Learning Perspective for Modeling Shape Deviations in Additive Manufacturing.
IEEE Robotics Autom. Lett., 2017
2014
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014