Prof. Peishun Ye, Yulin University, China.
Peishun Ye is a distinguished researcher and educator specializing in artificial intelligence and big data technology. His contributions to AI-driven image classification, particularly through the MobileTransNeXt model, have significantly enhanced remote sensing applications. With a strong academic background and extensive professional experience, he has led multiple research projects, published influential papers, and played a crucial role in advancing AI methodologies. His work continues to inspire and drive progress in the field.
Profile
Scopus
🎓 Early Academic Pursuits
Peishun Ye’s journey into the world of technology began with a strong academic foundation. He graduated from Shaanxi Normal University in 2005 with a degree in Computer Science and Technology. This formative education laid the groundwork for his expertise in computing, programming, and technological advancements. His passion for innovation and problem-solving led him to pursue further studies, culminating in a Master’s degree in Computer Technology Engineering from Northwestern Polytechnical University in 2016. These academic pursuits provided him with the knowledge and skills necessary to make groundbreaking contributions in the field of artificial intelligence and big data technology.
🏛️ Professional Endeavors
Upon completing his undergraduate degree, Peishun Ye embarked on a professional career at Yulin University. His dedication to research and teaching has made a significant impact on the institution. Over the years, he has been actively involved in scientific exploration and has contributed extensively to the field of computer science. With a focus on artificial intelligence and big data, he has been instrumental in developing new methodologies and refining existing technologies. His work has not only shaped the academic curriculum but also provided industry-driven solutions that address real-world challenges.
💡 Contributions and Research Focus
Peishun Ye’s research is centered on big data technology and artificial intelligence, with a particular emphasis on deep learning models. His latest work introduces MobileTransNeXt, an innovative hybrid deep learning architecture that integrates CNN, Transformer, and BiLSTM to enhance image classification performance in remote sensing applications. MobileTransNeXt has demonstrated exceptional results, achieving 96.90% test accuracy on the UC-MERCED dataset and 95.18% on NWPU-RESISC45. To further optimize these results, he developed the MobileTransNeXt-based DFE model, which extracts features from pretrained MobileTransNeXt and boosts classification accuracy to 98.81% and 95.29% on the respective datasets. His groundbreaking work has set new benchmarks in AI-driven image classification.
🎯 Accolades and Recognition
Throughout his career, Peishun Ye has been recognized for his outstanding contributions to the field of computer science. He has successfully led and completed one key research and development project for the Shaanxi Provincial Department of Science and Technology, as well as two industry-university research projects under the Yulin Science and Technology Bureau—one completed and one still ongoing. His research findings have been widely acknowledged in the academic community, with over ten published papers, including three indexed in EI. These accomplishments underscore his commitment to advancing knowledge and fostering technological innovation.
🌐 Impact and Influence
Peishun Ye’s research has significantly influenced the fields of artificial intelligence and big data analytics. His work on MobileTransNeXt and its advanced DFE-based version has contributed to improving the efficiency and accuracy of remote sensing image classification. By integrating cutting-edge deep learning techniques, his models have opened new avenues for AI applications in environmental monitoring, urban planning, and geospatial analysis. His contributions continue to inspire fellow researchers, students, and industry professionals, driving progress in AI-driven solutions.
Publication
🎨 Conclusion
Peishun Ye’s journey in academia and research is a testament to his dedication and vision in artificial intelligence and big data. His innovations have set new standards in AI-driven image classification, and his commitment to knowledge dissemination ensures a lasting impact. As he continues to explore new frontiers in AI, his work will undoubtedly contribute to the evolution of technology, leaving a legacy of excellence and inspiration for future generations.