Chongqing, China

Yun Li

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Inventor Yun Li

Introduction

Yun Li is a prominent inventor based in Chongqing, China. He has made significant contributions to the field of computing and resource management, holding three patents that showcase his innovative approaches.

Latest Patents

One of his latest patents is titled "Distributed task offloading and computing resources management method based on energy harvesting." This invention involves establishing a task local computing model and an edge cloud computing model. It also includes creating a device maximum benefit objective function based on the perturbation Lyapunov optimization algorithm. The method allows devices to pre-select mobile edge computing servers for task offloading and calculates optimal task size strategies using advanced algorithms. Another notable patent is the "Distributed computation offloading method based on computation-network collaboration in stochastic network." This method builds a device revenue maximization problem model and a MEC server revenue maximization problem model. It addresses the challenges of user movement and computation demands, transforming complex problems into manageable strategies for optimal task offloading.

Career Highlights

Yun Li is affiliated with the Chongqing University of Posts and Telecommunications, where he continues to advance research in computing technologies. His work has garnered attention for its practical applications in enhancing computational efficiency and resource management.

Collaborations

Yun Li collaborates with notable colleagues, including Guangfu Wu and Zhixiu Yao, who contribute to his research endeavors and innovations.

Conclusion

Yun Li's contributions to the field of computing through his innovative patents demonstrate his commitment to advancing technology. His work not only addresses current challenges but also paves the way for future developments in resource management and task offloading.

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