Shanghai, China

Hao Chang

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.4

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Innovations by Inventor Hao Chang

Introduction

Hao Chang is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of technology, particularly in algorithms and data processing. With a total of 4 patents, his work showcases innovative techniques that enhance computational efficiency.

Latest Patents

Hao Chang's latest patents include groundbreaking techniques for the use of a large-scale multi-literal matching algorithm. This innovation involves processing a chunk of input data through a SHIFT-OR operation to identify match candidates for target literal character patterns. The implementation utilizes single input multiple data (SIMD) instructions, allowing processors to perform parallel table lookups for efficient data matching. Another notable patent focuses on techniques to encode and decode for character class matching. This method encodes a character class in a mask table and uses sampled input data to perform parallel checks, determining if any characters in the input data match those in the character class.

Career Highlights

Hao Chang has worked with leading companies in the technology sector, including Intel Corporation and Shanghai Sigeyuan Intelligent Technology Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in the industry.

Collaborations

Hao Chang has collaborated with notable professionals in his field, including Xiang Wang and Yang Hong. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Hao Chang's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His innovative techniques continue to shape the landscape of data processing and algorithm development.

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