Shaocheng Wang

Orcid: 0000-0002-8094-0056

According to our database1, Shaocheng Wang authored at least 17 papers between 2014 and 2023.

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

Timeline

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Vision-Based Reactive Planning and Control of Quadruped Robots in Unstructured Dynamic Environments.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography images.
Int. J. Imaging Syst. Technol., 2022

2021
Confidence-Guided Topology-Preserving Layer Segmentation for Optical Coherence Tomography Images With Focus-Column Module.
IEEE Trans. Instrum. Meas., 2021

Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning.
Neurocomputing, 2021

Uncertainty-Aware Semi-Supervised Framework for Automatic Segmentation of Macular Edema in Oct Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019
Unscented-Transformation-Based Distributed Nonlinear State Estimation: Algorithm, Analysis, and Experiments.
IEEE Trans. Control. Syst. Technol., 2019

Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
On the Convergence Conditions of Distributed Dynamic State Estimation Using Sensor Networks: A Unified Framework.
IEEE Trans. Control. Syst. Technol., 2018

Fully Distributed Dynamic State Estimation With Uncertain Process Models.
IEEE Trans. Control. Netw. Syst., 2018

2017
Estimation in Networked Systems: Power Grid Security and Distributed Hybrid Information Fusion Algorithm.
PhD thesis, 2017

Effects of Switching Network Topologies on Stealthy False Data Injection Attacks Against State Estimation in Power Networks.
IEEE Syst. J., 2017

Fully distributed nonlinear state estimation using sensor networks.
Proceedings of the 2017 American Control Conference, 2017

2016
Fully distributed state estimation with multiple model approach.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the convergence of distributed estimation of LTV dynamic system with switching directed topologies and time-varying sensing models.
Proceedings of the 2016 American Control Conference, 2016

2015
On the consistency and confidence of distributed dynamic state estimation in wireless sensor networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Stealthy attacks in power systems: Limitations on manipulating the estimation deviations caused by switching network topologies.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Stealthy false data injection attacks against state estimation in power systems: Switching network topologies.
Proceedings of the American Control Conference, 2014


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