BEIJING, China

Ziyi Teng


Average Co-Inventor Count = 4.4

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Ziyi Teng: Innovator in Mobile Edge Cache Optimization

Introduction

Ziyi Teng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of mobile edge computing, particularly in cache optimization techniques. With a total of 2 patents, Teng's work focuses on enhancing the efficiency of data retrieval in mobile networks.

Latest Patents

One of Teng's latest patents is titled "Method for federated-learning-based mobile edge cache optimization." This invention addresses the challenges posed by user mobility and fluctuating content popularity within the range of a single base station. By predicting content popularity and preemptively placing requested content in edge caches, the method aims to increase the cache hit rate. The process involves simulating user movement through a random waypoint model, selecting users for local training, and aggregating global models using an attention mechanism to optimize predictions.

Another notable patent is the "Prefetch-adaptive intelligent cache replacement policy for high performance." This invention introduces a sophisticated cache replacement strategy that distinguishes between prefetch and demand requests. Utilizing an Integer Support Vector Machine (ISVM) for prediction, the method enhances the accuracy of cache line reuse predictions, thereby improving performance in the presence of hardware prefetching.

Career Highlights

Ziyi Teng is affiliated with the Beijing University of Technology, where he continues to advance research in mobile edge computing. His innovative approaches have garnered attention in academic and industry circles alike.

Collaborations

Teng collaborates with notable colleagues, including Juan Fang and Huijing Yang, who contribute to his research endeavors.

Conclusion

Ziyi Teng's contributions to mobile edge cache optimization reflect his commitment to advancing technology in this critical area. His innovative patents demonstrate a deep understanding of user behavior and system performance, positioning him as a key figure in the field.

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