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Biography

Xuyang Yan (Student Member, IEEE) received his B.S. degree in Electrical Engineering from North Carolina Agricultural and Technical State University (NC A&T) and Henan Polytechnic University in 2016. In 2018, he earned his M.S. degree in electrical engineering at NC A&T. He is currently pursuing his Ph.D. degree in electrical engineering at NC A&T. His research interests include clustering, classification, feature selection, data stream analysis, active learning, multi-label classifications, and the application of machine learning techniques in autonomous vehicles.

Activities

Education and qualifications (3)

North Carolina Agricultural and Technical State University: Greensboro, NC, US

2018-08-14 to 2022-12-15 | Doctoral of Philosophy (Electrical and Computer Engineer)
Education
Source: Self-asserted source
Xuyang Yan

North Carolina Agricultural and Technical State University: Greensboro, NC, US

2016-08-15 to 2018-08-03 | Master of Science (Electrical and Computer Engineer)
Education
Source: Self-asserted source
Xuyang Yan

North Carolina Agricultural and Technical State University: Greensboro, North Carolina, US

2014-08-15 to 2016-05-15 | Bachelor of Science (Electrical and Computer Engineer)
Education
Source: Self-asserted source
Xuyang Yan

Works (19)

A Data-Driven Approach for Performance Evaluation of Autonomous eVTOLs

IEEE Transactions on Aerospace and Electronic Systems
2024 | Journal article
Contributors: Mrinmoy Sarkar; Xuyang Yan; Biniam Gebru; Abdul-Rauf Nuhu; Kishor Datta Gupta; Kyriakos G. Vamvoudakis; Abdollah Homaifar
Source: check_circle
Crossref

An Efficient Profit-Aware Scalable Vehicle Dispatch Framework for On-Demand Ridesharing

IEEE Transactions on Industrial Cyber-Physical Systems
2024 | Journal article
Contributors: Benjamin Lartey; Wendwosen Bedada; Xuyang Yan; Abdollah Homaifar; Ali Karimoddini; Edward Tunstel
Source: check_circle
Crossref

NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study

IEEE Access
2024 | Journal article
Contributors: Nana Kankam Gyimah; Robert Akinie; Xuyang Yan; Mahmoud Nabil; Kishor Datta Gupta; Abdollah Homaifar; Vahid Hemmati; Daniel Opoku
Source: check_circle
Crossref

An Online Learning Framework for Sensor Fault Diagnosis Analysis in Autonomous Cars

IEEE Transactions on Intelligent Transportation Systems
2023 | Journal article
Contributors: Xuyang Yan; Mrinmoy Sarkar; Benjamin Lartey; Biniam Gebru; Abdollah Homaifar; Ali Karimoddini; Edward Tunstel
Source: check_circle
Crossref

An Online Unsupervised Streaming Features Selection Through Dynamic Feature Clustering

IEEE Transactions on Artificial Intelligence
2023-10 | Journal article
Contributors: Xuyang Yan; Abdollah Homaifar; Mrinmoy Sarkar; Benjamin Lartey; Kishor Datta Gupta
Source: check_circle
Crossref

A clustering-based active learning method to query informative and representative samples

Applied Intelligence
2022-02-25 | Journal article
Part of ISSN: 0924-669X
Part of ISSN: 1573-7497
Source: Self-asserted source
Xuyang Yan

Multi-label classification with local pairwise and high-order label correlations using graph partitioning

Knowledge-Based Systems
2021-12 | Journal article
Contributors: Shabnam Nazmi; Xuyang Yan; Abdollah Homaifar; Mohd Anwar
Source: check_circle
Crossref

A novel search and survey technique for unmanned aerial systems in detecting and estimating the area for wildfires

Robotics and Autonomous Systems
2021-11 | Journal article
Contributors: Mrinmoy Sarkar; Xuyang Yan; Berat A. Erol; Ioannis Raptis; Abdollah Homaifar
Source: check_circle
Crossref

A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2021-10-17 | Conference paper
Source: Self-asserted source
Xuyang Yan

DA<sup>2</sup>-Net : Diverse &amp; Adaptive Attention Convolutional Neural Network

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2021-10-17 | Conference paper
Source: Self-asserted source
Xuyang Yan

A Clustering-based framework for Classifying Data Streams

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
2021-08 | Conference paper
Source: Self-asserted source
Xuyang Yan

A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (MOGA-FPS)

Proceedings of the Genetic and Evolutionary Computation Conference Companion
2021-07-07 | Conference paper
Source: Self-asserted source
Xuyang Yan

Evolving multi-label classification rules by exploiting high-order label correlations

Neurocomputing
2020-12 | Journal article
Part of ISSN: 0925-2312
Source: Self-asserted source
Xuyang Yan

An efficient unsupervised feature selection procedure through feature clustering

Pattern Recognition Letters
2020-03 | Journal article
Contributors: Xuyang Yan; Shabnam Nazmi; Berat A. Erol; Abdollah Homaifar; Biniam Gebru; Edward Tunstel
Source: check_circle
Crossref

A Novel Streaming Data Clustering Algorithm Based on Fitness Proportionate Sharing

IEEE Access
2019 | Journal article
Part of ISSN: 2169-3536
Source: Self-asserted source
Xuyang Yan

Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network

2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)
2019-11 | Conference paper
Source: Self-asserted source
Xuyang Yan

Multi-label Classification Using Genetic-Based Machine Learning

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2018-10 | Conference paper
Source: Self-asserted source
Xuyang Yan

Unsupervised Feature Selection through Fitness Proportionate Sharing Clustering

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2018-10 | Conference paper
Source: Self-asserted source
Xuyang Yan

A novel clustering algorithm based on fitness proportionate sharing

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2017-10 | Conference paper
Source: Self-asserted source
Xuyang Yan

Peer review (12 reviews for 3 publications/grants)

Review activity for Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat. (4)
Review activity for Neurocomputing. (7)
Review activity for Swarm and evolutionary computation. (1)