Ying Xie
Orcid: 0000-0002-8661-8877Affiliations:
- Kennesaw State University, Department of Information Technology, Kennesaw, GA, USA
- University of Louisiana at Lafayette, Center for Advanced Computer studies, Lafayette, LA, USA
According to our database1,
Ying Xie
authored at least 66 papers
between 2002 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Optimizing Day-Ahead Energy Trading with Proximal Policy Optimization and Blockchain.
CoRR, August, 2025
2024
Wirel. Pers. Commun., April, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Data-Driven Analysis of Climate Change Impacts on Public Health: A Systematic Review and Future Directions.
Proceedings of the IEEE International Conference on Big Data, 2024
Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap.
Proceedings of the IEEE International Conference on Big Data, 2024
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Finding the Proverbial Needle: Improving Minority Class Identification Under Extreme Class Imbalance.
J. Classif., April, 2023
AI meets AI: Artificial Intelligence and Academic Integrity - A Survey on Mitigating AI-Assisted Cheating in Computing Education.
Proceedings of the 24th Annual Conference on Information Technology Education, 2023
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning.
Proceedings of the IEEE International Conference on Big Data, 2022
Integrated Gradients is a Nonlinear Generalization of the Industry Standard Approach to Variable Attribution for Credit Risk Models.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
An Application of Localized Model Explainability: Identifying Key Disparities in Social Determinants of Health in Food Deserts.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network.
Proceedings of the Brain Informatics - 14th International Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Machine Learning-Based Coding Decision Making in H.265/HEVC CTU Division and Intra Prediction.
Int. J. Mob. Comput. Multim. Commun., 2020
A Novel Framework for Collaborated IT Project with the Consideration of Data Security and Privacy.
Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Link Prediction Based Minimum Cost and Balanced Partition of Large Online Social Networks.
Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019
Automatically Identifying of animals in the wilderness: Comparative studies between CNN and C-Capsule Network.
Proceedings of the 3rd International Conference on Compute and Data Analysis, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018
Designing Visually Interactive Learning Modules to Promote Students' Critical Thinking in Mathematics.
Proceedings of the IEEE Frontiers in Education Conference, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018
2017
Proceedings of the International Conference on Web Intelligence, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Computing and Combinatorics - 23rd International Conference, 2017
2016
Multi-dimensional and customizable open-source labware for promoting big data analytical skills in STEM education.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016
Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016
Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining.
Proceedings of the 2nd IEEE International Conference on Big Data Security on Cloud, 2016
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016
2015
Constructing load-balanced virtual backbones in probabilistic wireless sensor networks via multi-objective genetic algorithm.
Trans. Emerg. Telecommun. Technol., 2015
KNN++: An Enhanced K-Nearest Neighbor Approach for Classifying Data with Heterogeneous Views.
Proceedings of the Hybrid Intelligent Systems, 2015
2014
Proceedings of the 2014 ACM Southeast Regional Conference, Kennesaw, GA, USA, March 28, 2014
2013
Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013
2012
Proceedings of the Rough Sets and Current Trends in Computing, 2012
A random walk model based approach for quantifying technology emergence and impact for research articles.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012
2011
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2010
Biomedical Relationship Extraction from literature based on bio-semantic token subsequences.
Int. J. Funct. Informatics Pers. Medicine, 2010
Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
2009
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
2008
Conceptual Biology Research Supporting Platform: Current Design and Future Directions.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008
2007
J. Assoc. Inf. Sci. Technol., 2007
2006
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
On Novelty Evaluation of Potentially Useful Patterns.
Proceedings of the 2006 International Conference on Data Mining, 2006
2005
A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases.
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005
Int. J. Approx. Reason., 2005
Proceedings of the 43nd Annual Southeast Regional Conference, 2005
2004
GAMInG - A Framework for Generalization of Association Mining via Information Granulation.
Proceedings of the Rough Sets and Current Trends in Computing, 2004
2003
A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic.
Proceedings of the Rough Sets, 2003
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003
2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002