This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignees: Zhejiang Lab, Zhejiang University. Active years: 2026.
Company Filing History:
2 out of 182 
2 out of 1,270 
Years Active: 2026
Title: Innovations of Chunming Wu in Programmable Networks
Introduction
Chunming Wu is a notable 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
Chunming Wu 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 delay and queuing state, 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 achieved across various positions and time scales. Additionally, it incorporates an optimization model and heuristic algorithm to manage time-sensitive flows efficiently, even under limited network resources.
Career Highlights
Chunming Wu has worked at prestigious 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
Chunming Wu has collaborated with notable colleagues, including Xiang Chen and Haifeng Zhou. Their joint efforts have contributed to advancements in the field of programmable networks.
Conclusion
Chunming Wu's work in adaptive packet-level transmission priority represents a significant advancement in programmable networks. His innovative methods and collaborative efforts continue to influence the field positively.