Yu Huang

Orcid: 0000-0002-6182-3153

Affiliations:
  • Seagate Technology, MN, USA
  • Florida Atlantic University, Boca Raton, FL, USA


According to our database1, Yu Huang authored at least 20 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Soft-Sensing Regression Model: From Sensor to Wafer Metrology Forecasting.
Sensors, October, 2023

2022
Prognostics With Variational Autoencoder by Generative Adversarial Learning.
IEEE Trans. Ind. Electron., 2022

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks.
Knowl. Based Syst., 2022

Reliable machine prognostic health management in the presence of missing data.
Concurr. Comput. Pract. Exp., 2022

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.
IEEE Access, 2022

Real-Time Vertical Path Planning Using Model Predictive Control for an Autonomous Marine Current Turbine.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
Mashup tag completion with attention-based topic model.
Serv. Oriented Comput. Appl., 2021

Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current.
Frontiers Artif. Intell., 2021

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.
CoRR, 2021

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.
CoRR, 2021

Deep Learning Based Multi-Label Attack Detection for Distributed Control of AC Microgrids.
Proceedings of the IEEE International Conference on Communications, 2021

GAEN: Graph Attention Evolving Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Learning from Failures in Large Scale Soft Sensing.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

IEEE BigData 2021 Cup: Soft Sensing at Scale.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

GraSSNet: Graph Soft Sensing Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Evolutionary Architecture Search for Graph Neural Networks.
CoRR, 2020

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting.
CoRR, 2020


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