Dr. Yunxiang Lu | Neural Networks | Best Researcher Award
Ph.D | College of Automation & College of Artificial Intelligence | China
Dr. Yunxiang Lu is a dedicated researcher and academic currently affiliated with the College of Automation and the College of Artificial Intelligence at Nanjing University of Posts and Telecommunications, China. His work spans advanced topics in control science, neural networks, and ecological competition networks, underpinned by rigorous academic and practical experiences. Dr. Lu’s career is marked by his pursuit of ground breaking research, particularly in the realms of dynamic systems, network topology, and bifurcation analysis. Through a robust combination of theoretical exploration and simulation-based validation, he has significantly contributed to the field of artificial intelligence and control systems.
Profile
Education
Dr. Lu embarked on a combined Master and Ph.D. program in Control Science and Engineering in 2019. As part of his academic journey, he is currently affiliated with the Polish Academy of Sciences – Institute of Systems Research for a year-long research collaboration. This academic foundation has provided him with a strong grasp of theoretical frameworks and hands-on application in control engineering, establishing him as a skilled scholar and innovator in his domain.
Experience
Dr. Lu’s professional experience includes a stint as an IT Technical Engineer at China Telecom Corporation, where he contributed to the 5G+MEC smart factory project, enhancing his expertise in telecommunications and automation. His role involved exploring the integration of 5G technologies in industrial applications, further broadening his technical horizon. Additionally, his active participation in academia includes leading research projects funded by Jiangsu Province, with notable achievements in ecological competition networks and time-delay feedback control mechanisms.
Research Interests
Dr. Lu’s research interests focus on fractional-order systems, neural networks, ecological dynamics, and the control of anomalous diffusion processes. He aims to uncover the intricate behaviors of complex networks influenced by various dynamic parameters. His work explores how time delays, fractional orders, and network topologies impact system stability and evolution, with applications ranging from neural systems to cyber-physical and ecological networks.
Awards and Honors
Dr. Lu has received numerous accolades recognizing his academic excellence and contributions. Notably, he was honored as the Excellent Graduate of Nanjing University of Posts and Telecommunications in 2022 and received the prestigious Postgraduate Academic Scholarship awards multiple times during his tenure. These distinctions underscore his dedication and consistent performance in both research and academics.
Publications
Dr. Lu has co-authored several impactful publications in esteemed journals.
Tipping prediction of a class of large-scale radial-ring neural networks
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- Authors: Lu, Y., Xiao, M., Wu, X., Cao, J., Zheng, W.X.
- Publication Year: 2025
- Citations: 0
Complex pattern evolution of a two-dimensional space diffusion model of malware spread
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- Authors: Cheng, H., Xiao, M., Lu, Y., Rutkowski, L., Cao, J.
- Publication Year: 2024
- Citations: 0
Spatiotemporal Evolution of Large-Scale Bidirectional Associative Memory Neural Networks With Diffusion and Delays
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- Authors: Lu, Y., Xiao, M., Liang, J., Wang, Z., Cao, J.
- Publication Year: 2024
- Citations: 1
Stability and Bifurcation Exploration of Delayed Neural Networks with Radial-Ring Configuration and Bidirectional Coupling
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- Authors: Lu, Y., Xiao, M., He, J., Wang, Z.
- Publication Year: 2024
- Citations: 6
Stability and Dynamics Analysis of Time-Delay Fractional-Order Large-Scale Dual-Loop Neural Network Model With Cross-Coupling Structure
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- Authors: Du, X., Xiao, M., Qiu, J., Lu, Y., Cao, J.
- Publication Year: 2024
- Citations: 0
QUALITATIVE ANALYSIS OF HIGH-DIMENSIONAL NEURAL NETWORKS WITH THREE-LAYER STRUCTURE AND MULTIPLE DELAYS
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- Authors: He, J., Xiao, M., Lu, Y., Sun, Y., Cao, J.
- Publication Year: 2024
- Citations: 0
Early warning of tipping in a chemical model with cross-diffusion via spatiotemporal pattern formation and transition
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- Authors: Lu, Y., Xiao, M., Huang, C., Wang, Z., Cao, J.
- Publication Year: 2023
- Citations: 8
Tipping point prediction and mechanism analysis of malware spreading in cyber–physical systems
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- Authors: Xiao, M., Chen, S., Zheng, W.X., Wang, Z., Lu, Y.
- Publication Year: 2023
- Citations: 10
Control of tipping in a small-world network model via a novel dynamic delayed feedback scheme
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- Authors: He, H., Xiao, M., Lu, Y., Wang, Z., Tao, B.
- Publication Year: 2023
- Citations: 9
Bifurcation Dynamics Analysis of A Class of Fractional Neural Networks with Mixed Delays
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- Authors: Luan, Y., Lu, Y., Xiao, M., Zhang, J.
- Publication Year: 2023
- Citations: 0
Conclusion
Dr. Yunxiang Lu exemplifies the synthesis of academic brilliance, practical expertise, and research acumen. His dedication to advancing knowledge in control systems and artificial intelligence positions him as a visionary scholar in his field. Through his continued exploration of dynamic networks and innovative control strategies, he remains committed to addressing complex challenges in modern science and technology.
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