Finding Needles in a Haystack: Reducing False Alarm Rate Using Telemedicine Mobile Cloud. - Qiong Gui; Xiaoliang Wang 003; Bingwei Liu; Zhanpeng Jin; Yu Chen 002 (ICHI, 2013)

Enabling Smart Personalized Healthcare: A Hybrid Mobile-Cloud Approach for ECG Telemonitoring. - Xiaoliang Wang 003; Qiong Gui; Bingwei Liu; Zhanpeng Jin; Yu Chen 002 (IEEE J. Biomed. Health Informatics, 2014)

A Hidden Markov Model based dynamic scheduling approach for mobile cloud telemonitoring. - Xiaoliang Wang 003; Wenyao Xu; Zhanpeng Jin (BHI, 2017)

Context-aware reinforcement learning-based mobile cloud computing for telemonitoring. - Xiaoliang Wang 003; Wei Wang 196; Zhanpeng Jin (BHI, 2018)

Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV. - Xiaoliang Wang 003; Peng Cheng; Xinchuan Liu; Benedict Uzochukwu (IECON, 2018)

Diabetic Retinopathy Stage Classification Using Convolutional Neural Networks. - Xiaoliang Wang 003; Yongjin Lu; Yujuan Wang; Wei-bang Chen (IRI, 2018)

Focal Loss Dense Detector for Vehicle Surveillance. - Xiaoliang Wang 003; Peng Cheng; Xinchuan Liu; Benedict Uzochukwu (CoRR, 2018)

A Fully Automated Porosity Measure for Thermal Barrier Coating Images. - Wei-bang Chen; Benjamin Standfield; Song Gao 010; Yongjin Lu; Xiaoliang Wang 003; Ben Zimmerman (Int. J. Multim. Data Eng. Manag., 2018)

Using Convolutional Neural Networks to Detect and Extract Retinal Blood Vessels in Fundoscopic Images. - Benjamin Standfield; Wei-bang Chen; Yujuan Wang; Yongjin Lu; Ahmed F. Abdelzaher; Xiaoliang Wang 003; Xin-Guang Yang (MIPR, 2019)

An Overview of Mobile Cloud Computing for Pervasive Healthcare. - Xiaoliang Wang 003; Zhanpeng Jin (IEEE Access, 2019)

Promote Retinal Lesion Detection for Diabetic Retinopathy Stage Classification. - Xiaoliang Wang 003; Yongjin Lu; Wei-bang Chen (MIPR, 2020)

Deep Learning-Based Models for Porosity Measurement in Thermal Barrier Coating Images. - Yongjin Lu; Wei-bang Chen; Xiaoliang Wang 003; Zanyah Ailsworth; Melissa Tsui; Huda Al-Ghaib; Ben Zimmerman (Int. J. Multim. Data Eng. Manag., 2020)

Enhancing Multimodal Clustering Framework with Deep Learning to Reveal Image Spam Authorship. - Wei-bang Chen; Yongjin Lu; Zanyah Ailsworth; Xiaoliang Wang 003; Chengcui Zhang (IRI, 2021)

A Hybrid Image Segmentation Approach for Thermal Barrier Coating Quality Assessments. - Zanyah Ailsworth; Wei-bang Chen; Yongjin Lu; Xiaoliang Wang 003; Melissa Tsui; Huda Al-Ghaib; Ben Zimmerman (MIPR, 2021)

Fully Automatic Top Coat Layer Recognition in Thermal Barrier Coating Images. - Yongjin Lu; Wei-bang Chen; Xiaoliang Wang 003; Ben Zimmerman (IRI, 2022)

Embracing Deep Learning for Crack Segmentation in SEM Images of Metal Additive Manufacturing. - Xiaoliang Wang 003; Justin Lowery; Yongjin Lu; Wei-bang Chen; Shanshan Zhang; Zhenhua Wu (IRI, 2022)

Hybrid Convolutional Autoencoder-Hierarchical Clustering Algorithm To Reveal Image Spam Sources. - Yongiin Lu; Wei-bang Chen; Zanyah Ailsworth; Xiaoliang Wang 003; Chengcui Zhang; Kaixuan Li 006 (IRI, 2023)

A Deep Learning Based Method for Vitreous Hemorrhage Recognition in Fundoscopic Images. - Xiaoliang Wang 003; Yongjin Lu; Wei-bang Chen; Dominic Baker (IRI, 2023)

Automated Recognition of Optic Disc and Blood Vessels in Diabetic Fundoscopy Images Using Real-Time Image Analysis. - Kaixuan Li 006; Wei-bang Chen; Yongjin Lu; Xiaoliang Wang 003; He Gao (MIPR, 2024)