Chongqing, China

Zhixiu Yao

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Zhixiu Yao: Innovator in Distributed Computing

Introduction

Zhixiu Yao is a prominent inventor based in Chongqing, China. He has made significant contributions to the field of distributed computing, particularly in energy harvesting and task offloading methods. With a total of 2 patents, his work is paving the way for advancements in mobile edge computing.

Latest Patents

Zhixiu Yao's latest patents include two innovative methods. The first patent is titled "Distributed task offloading and computing resources management method based on energy harvesting." This method 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 second patent is "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, focusing on optimizing task strategies in a stochastic environment.

Career Highlights

Zhixiu Yao is affiliated with the Chongqing University of Posts and Telecommunications. His academic and research endeavors have led to significant advancements in the field of distributed computing. His innovative approaches are recognized for their potential to enhance efficiency in mobile edge computing.

Collaborations

Zhixiu Yao collaborates with notable colleagues, including Yun Li and Shichao Xia. Their combined expertise contributes to the development of cutting-edge technologies in their field.

Conclusion

Zhixiu Yao's contributions to distributed computing and his innovative patents highlight his role as a leading inventor in the industry. His work continues to influence advancements in mobile edge computing and energy management strategies.

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