Xiaoliang Wang
Orcid: 0000-0002-0883-7716Affiliations:
- Virginia State University, Department of Technology, VA, USA
- State University of New York at Binghamton, Department of Electrical and Computer Engineering, NY, USA (PhD 2018)
According to our database1,
Xiaoliang Wang
authored at least 18 papers
between 2013 and 2023.
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Bibliography
2023
A Deep Learning Based Method for Vitreous Hemorrhage Recognition in Fundoscopic Images.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
Hybrid Convolutional Autoencoder-Hierarchical Clustering Algorithm To Reveal Image Spam Sources.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
2022
Embracing Deep Learning for Crack Segmentation in SEM Images of Metal Additive Manufacturing.
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022
2021
A Hybrid Image Segmentation Approach for Thermal Barrier Coating Quality Assessments.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021
Enhancing Multimodal Clustering Framework with Deep Learning to Reveal Image Spam Authorship.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
2020
Deep Learning-Based Models for Porosity Measurement in Thermal Barrier Coating Images.
Int. J. Multim. Data Eng. Manag., 2020
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020
2019
Using Convolutional Neural Networks to Detect and Extract Retinal Blood Vessels in Fundoscopic Images.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019
2018
Int. J. Multim. Data Eng. Manag., 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV.
Proceedings of the IECON 2018, 2018
Context-aware reinforcement learning-based mobile cloud computing for telemonitoring.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
A Hidden Markov Model based dynamic scheduling approach for mobile cloud telemonitoring.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2014
Enabling Smart Personalized Healthcare: A Hybrid Mobile-Cloud Approach for ECG Telemonitoring.
IEEE J. Biomed. Health Informatics, 2014
2013
Finding Needles in a Haystack: Reducing False Alarm Rate Using Telemedicine Mobile Cloud.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013