San Jose, CA, United States of America

Qiaosong Wang

Average Co-Inventor Count = 3.6

ph-index = 5

Forward Citations = 118(Granted Patents)

Forward Citations (Not Self Cited) = 39(Sep 21, 2024)

Location History:

  • Newark, DE (US) (2018 - 2022)
  • San Francisco, CA (US) (2018 - 2024)
  • San Jose, CA (US) (2019 - 2024)


Years Active: 2018-2025

where 'Filed Patents' based on already Granted Patents

39 patents (USPTO):

Title: A Deep Dive into the Innovations of Qiaosong Wang

Introduction: Qiaosong Wang is an accomplished inventor based in San Jose, CA, boasting an impressive portfolio of 35 patents. His innovative contributions primarily focus on image processing and machine learning technologies, marking him as a significant player in the tech industry.

Latest Patents: Wang's recent patents showcase his expertise in adversarial learning and image cleanup. One of his notable patents, titled "Adversarial learning for fine-grained image search," details a system that enhances image search capabilities using a generator trained with reference images. This innovative approach allows the image search system to identify similar objects based on their vector representation, improving the accuracy and efficiency of image retrieval.

Another significant patent, "Image cleanup on a mobile device," presents methods and systems for enhancing images by effectively separating foreground and background elements. This method incorporates machine learning techniques to analyze images, resulting in a refined product ready for publication. Such advancements have the potential to revolutionize how users engage with visual media on mobile platforms.

Career Highlights: Qiaosong Wang's professional journey includes a significant role at eBay, where he leverages his expertise to develop cutting-edge technologies that enhance user experiences. His work not only reflects his innovative spirit but also underscores his commitment to driving progress within the company and the wider industry.

Collaborations: At eBay, Wang collaborates with talented individuals such as Robinson Piramuthu and Fan Yang, who contribute their own expertise to the innovative projects they undertake. This collaborative environment enhances the creative process, leading to more impactful inventions.

Conclusion: Qiaosong Wang's remarkable contributions to the fields of image processing and machine learning through his patented technologies reflect his status as a leading innovator. With a strong background in these technological domains, Wang continues to push the boundaries of what is possible, paving the way for future advancements in the industry. His work not only influences current trends but also inspires future inventors in the tech landscape.

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