Yi Wang

Orcid: 0000-0002-5750-3181

Affiliations:
  • University of South Carolina, Columbia, SC, USA


According to our database1, Yi Wang authored at least 21 papers between 2020 and 2024.

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Bibliography

2024
Constrained optimized dynamic mode decomposition with control for physically stable systems with exogeneous inputs.
J. Comput. Phys., January, 2024

2023
An adaptively weighted loss-enabled lightweight teacher-student model for real-time railroad inspection on edge devices.
Neural Comput. Appl., December, 2023

Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators.
Future Gener. Comput. Syst., December, 2023

Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots.
Eng. Appl. Artif. Intell., November, 2023

A sparse multi-fidelity surrogate-based optimization method with computational awareness.
Eng. Comput., October, 2023

Analysis of abnormal pedestrian behaviors at grade crossings based on semi-supervised generative adversarial networks.
Appl. Intell., October, 2023

A low-cost indoor positioning system based on data-driven modeling for robotics research and education.
Robotica, September, 2023

Multi-fidelity reduced-order model for GPU-enabled microfluidic concentration gradient design.
Eng. Comput., August, 2023

GPU-enabled microfluidic design automation for concentration gradient generators.
Eng. Comput., April, 2023

A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments.
Neural Comput. Appl., March, 2023

Real-time dense traffic detection using lightweight backbone and improved path aggregation feature pyramid network.
J. Ind. Inf. Integr., February, 2023

Physics-guided neural network and GPU-accelerated nonlinear model predictive control for quadcopter.
Neural Comput. Appl., 2023

2022
Dense Traffic Detection at Highway-Railroad Grade Crossings.
IEEE Trans. Intell. Transp. Syst., 2022

A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings.
Neural Comput. Appl., 2022

Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl., 2022

A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl., 2022

A reduced order modeling method based on GNAT-embedded hybrid snapshot simulation.
Math. Comput. Simul., 2022

GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization.
J. Intell. Robotic Syst., 2022

Computer vision-based approach for smart traffic condition assessment at the railroad grade crossing.
Adv. Eng. Informatics, 2022

2020
Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020



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