Yu Cao
Orcid: 0000-0001-8624-1099Affiliations:
- University of Massachusetts, Lowell, MA, USA
- University of Tennessee at Chattanooga, TN, USA (2010 - 2013)
- California State University, Fresno, CA, USA (2007 - 2010)
- Iowa State University, Ames, IA, USA (PhD 2007)
According to our database1,
Yu Cao
authored at least 95 papers
between 2003 and 2024.
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Bibliography
2024
Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos.
CoRR, 2024
Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Automated Scene Classification in Endoscopy Videos Using Convolutional Neural Networks.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024
2023
Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
A Greedy Algorithm-Based Self-Training Pipeline for Expansion of Dental Caries Dataset.
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE J. Biomed. Health Informatics, 2022
Int. J. Semantic Comput., 2022
Proceedings of the Digital Transformation in the Viral Age, 2022
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022
MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Spotlight scheme: enhancing medical image classification with lesion location information.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Enhance Chest X-ray Classification with Multi-image Fusion and Pseudo-3D Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
2021
Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans.
J. Medical Imaging Health Informatics, 2021
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Gastric Location Classification During Esophagogastroduodenoscopy Using Deep Neural Networks.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
ChainSDI: A Software-Defined Infrastructure for Regulation-Compliant Home-Based Healthcare Services Secured by Blockchains.
IEEE Syst. J., 2020
Implementing a socio-technical system for computer-aided tuberculosis diagnosis in Peru: A field trial among health professionals in resource-constraint settings.
Health Informatics J., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
2019
A Deep Reinforcement Learning Approach to Multi-Component Job Scheduling in Edge Computing.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Toward Secure, Privacy-Preserving, and Interoperable Medical Data Sharing via Blockchain.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
An Effective CNN Approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data Sampling.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure.
IEEE Trans. Serv. Comput., 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Proceedings of the 2017 ACM on Multimedia Conference, 2017
Identify Non-fatigue State to Fatigue State Using Causality Measure During Game Play.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
TX-CNN: Detecting tuberculosis in chest X-ray images using convolutional neural network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
CareNet: Building a Secure Software-defined Infrastructure for Home-based Healthcare.
Proceedings of the ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization, 2017
CareNet: Building Regulation-Compliant Home-Based Healthcare Services with Software-Defined Infrastructure.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017
2016
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery.
IEEE Trans. Neural Networks Learn. Syst., 2016
Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality.
IEEE Trans. Neural Networks Learn. Syst., 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment.
Proceedings of the Inclusive Smart Cities and Digital Health, 2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016
Improving Tuberculosis Diagnostics Using Deep Learning and Mobile Health Technologies among Resource-Poor and Marginalized Communities.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016
2015
Loss Aware Sample Packetization Strategy for Improvement of Body Sensor Data Analysis.
J. Commun., 2015
Multi-level sample importance ranking based progressive transmission strategy for time series body sensor data.
Proceedings of the 16th IEEE International Symposium on A World of Wireless, 2015
Proceedings of the 10th IEEE International Conference on Networking, 2015
FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation.
Proceedings of the 10th IEEE International Conference on Networking, 2015
Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing.
Proceedings of the 2015 Workshop on Mobile Big Data, 2015
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015
Proceedings of the 17th International Conference on E-health Networking, 2015
2014
Proceedings of the 2014 IEEE International Symposium on Multimedia, 2014
Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Accelerator of Stacked Convolutional Independent Subspace Analysis for Deep Learning-Based Action Recognition.
Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014
2013
Neural Comput. Appl., 2013
Proceedings of the 8th International Conference on Body Area Networks, 2013
2012
Measuring MERCI: Exploring data mining techniques for examining the neurologic outcomes of stroke patients undergoing endo-vascular therapy at Erlanger Southeast Stroke Center.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012
2011
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011
Proceedings of the 6th International Conference on Body Area Networks, 2011
2010
Multim. Tools Appl., 2010
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010
2009
Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009
2008
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
2007
Computer-Aided Detection of Diagnostic and Therapeutic Operations in Colonoscopy Videos.
IEEE Trans. Biomed. Eng., 2007
Arthemis: Annotation software in an integrated capturing and analysis system for colonoscopy.
Comput. Methods Programs Biomed., 2007
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Proceedings of the 13th ACM International Conference on Multimedia, 2005
2004
Proceedings of the 12th ACM International Conference on Multimedia, 2004
Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004
Proceedings of the Image and Video Retrieval: Third International Conference, 2004
2003
Proceedings of the Image and Video Retrieval, Second International Conference, 2003