Beijing, China

Chang-Hu Wang


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 54(Granted Patents)


Company Filing History:


Years Active: 2010

Loading Chart...
1 patent (USPTO):

Title: Chang-Hu Wang: Innovator in Image Search Technology

Introduction

Chang-Hu Wang, based in Beijing, China, is a notable inventor recognized for his significant contribution to the field of image search technology. With a patent to his name, Wang has developed a method that enhances the efficiency of image search results, making it easier for users to find clusters of related images.

Latest Patents

Chang-Hu Wang's key patent is titled "Generating clusters of images for search results." This innovative method and system streamline the process of image retrieval by identifying text associated with an original image query. By utilizing search engines to recognize phrases from related text, the system submits these phrases as new image queries to an image search engine. The results from these queries are then clustered together, allowing users to view a comprehensive set of related images for their initial search.

Career Highlights

Wang is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in developing cutting-edge technologies. His work in image search demonstrates his commitment to advancing digital search functionalities and enhancing user experiences.

Collaborations

Throughout his career, Chang-Hu Wang has collaborated with talented professionals such as Feng Jing and Lei Zhang. These collaborations contribute to the creative environment at Microsoft, fostering innovation and the successful development of effective technological solutions.

Conclusion

Chang-Hu Wang's work in image search technology is a testament to his innovative spirit and technical acumen. His patent not only advances the field of search technologies but also reflects his dedication to improving how users interact with digital content. As the landscape of technology continues to evolve, Wang's contributions will likely play a vital role in shaping the future of image retrieval.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…