This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Zhejiang Lab, Zhejiang University. Active years: 2026.
Company Filing History:

Years Active: 2026
Title: Zhengyan Zhou: Innovator in Programmable Networks
Introduction
Zhengyan Zhou is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of programmable networks, particularly in the area of packet-level transmission priority. His innovative methods aim to enhance the efficiency and reliability of data transmission in complex network environments.
Latest Patents
Zhengyan Zhou holds a patent titled "Adaptive adjustment method of packet-level transmission priority for delay guarantee in programmable networks." This patent describes a method that enables the adaptive adjustment of packet-level transmission priority to meet preset transmission delay requirements. The approach focuses on three key aspects: adjusting priority in programmable switches based on processing and queuing states, adjusting priority among switches based on upstream transmission delays, and adjusting global parameters based on packet transmission delay satisfaction. This method ensures that packet-level transmission delay guarantees are met across various positions and time scales. Additionally, it includes an optimization model and heuristic algorithm to manage time-sensitive flows efficiently under limited network resources.
Career Highlights
Zhengyan Zhou has worked at notable institutions such as Zhejiang University and Zhejiang Lab. His experience in these organizations has allowed him to develop and refine his innovative ideas in network technology.
Collaborations
Zhengyan Zhou has collaborated with esteemed colleagues, including Wenhai Wang and Di Wang. Their joint efforts have contributed to advancements in the field of programmable networks.
Conclusion
Zhengyan Zhou's work in adaptive packet-level transmission methods showcases his commitment to improving network performance. His innovative approaches are paving the way for more efficient data transmission in programmable networks.