Santa Clara, CA, United States of America

Hailin Zhang


Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Hailin Zhang: Innovator in Vertex Data Compression

Introduction

Hailin Zhang is a prominent inventor based in Santa Clara, CA. He has made significant contributions to the field of data compression, particularly in vertex data processing. His innovative approach has led to the development of a unique patent that addresses the challenges of compressing vertex data efficiently.

Latest Patents

Hailin Zhang holds a patent for a "Vertex data compression method and apparatus for compressing vertex data through analyzing channel properties and related vertex data decompression method and apparatus." This patent outlines a vertex data compression method that involves collecting a plurality of vertices as a vertex block. It includes extracting data unit arrays from the vertex block, where each array is composed of data units selected from vertex components. The method also involves checking the data units to select a compression algorithm and compressing the data units accordingly. This innovative approach enhances the efficiency of data compression in various applications.

Career Highlights

Hailin Zhang is currently employed at MediaTek Corporation, where he continues to work on cutting-edge technologies in data processing. His expertise in vertex data compression has positioned him as a valuable asset to the company. His work contributes to advancements in the field, making significant impacts on how data is managed and utilized.

Collaborations

Hailin Zhang collaborates with Qun-Feng Liao, a fellow innovator in the field. Together, they explore new methodologies and technologies that enhance data compression techniques.

Conclusion

Hailin Zhang's contributions to vertex data compression exemplify the innovative spirit of modern inventors. His patent and ongoing work at MediaTek Corporation highlight the importance of advancements in data processing technologies.

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