Hangzhou, China

Gang Pan

USPTO Granted Patents = 8 

 

Average Co-Inventor Count = 5.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2011-2025

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8 patents (USPTO):

Title: Innovations and Contributions of Inventor Gang Pan

Introduction

Gang Pan is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of neural networks and computer systems, holding a total of 8 patents. His work focuses on advanced methods for target tracking and intra-chip routing of neural tasks.

Latest Patents

One of his latest patents is a "Target tracking method and system of spiking neural network based on event camera." This innovative method involves acquiring a data stream of asynchronous events from an event camera in a high dynamic scene. The data stream is divided into synchronous event frames with millisecond time resolution. A twin network is trained using a gradient substitution algorithm, allowing for effective tracking of targets by interpolating feature mapping results.

Another notable patent is the "Device and method of intra-chip routing of neural tasks for operating system of brain-inspired computer." This invention outlines a method for determining target cores and configuring relay routing based on the proximity to edge routing areas. It emphasizes efficient routing by searching for the nearest edge routing cores and configuring target cores in a far-to-near principle.

Career Highlights

Gang Pan 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 neural computing and artificial intelligence.

Collaborations

Throughout his career, Gang Pan has collaborated with notable colleagues, including Yu Qi and Yueming Wang. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Gang Pan's contributions to the field of neural networks and computer systems are noteworthy. His innovative patents reflect his expertise and commitment to advancing technology. His work continues to influence the development of intelligent systems and applications.

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