Cupertino, CA, United States of America

Yeping Su

USPTO Granted Patents = 141 

 

Average Co-Inventor Count = 3.8

ph-index = 25

Forward Citations = 1,363(Granted Patents)

DiyaCoin DiyaCoin 1.01 


Inventors with similar research interests:


Location History:

  • Plainsboro, NJ (US) (2015)
  • Vancouver, WA (US) (2013 - 2019)
  • Camas, WA (US) (2012 - 2024)
  • Sunnyvale, CA (US) (2014 - 2024)
  • Cupertino, CA (US) (2015 - 2024)
  • Palo Alto, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 2012-2025

where 'Filed Patents' based on already Granted Patents

141 patents (USPTO):

Title: Yeping Su: Innovator and Patent Machine in Cupertino

Introduction:

Yeping Su, a renowned innovator based in Cupertino, CA, is a steadfast contributor to the field of advanced compression techniques and point cloud technologies. With an impressive portfolio of 127 patents, Yeping Su continues to push the boundaries of data compression and attribute prediction strategies. This article aims to shed light on Su's latest patents, career highlights, notable collaborations, and his contributions to the innovation landscape.

Latest Patents:

Yeping Su's recent patents showcase his expertise in compression and advanced techniques for point cloud data. One such patent, "Occupancy Map Block-to-Patch Information Compression," revolves around an encoder-decoder system that compresses attribute information and spatial details for point cloud data. The encoder converts the point cloud into an image-based representation, packs patch images into an image frame, and intelligently fills empty spaces with padding. The compressed information, including occupancy maps and block-to-patch details, is then sent to a decoder that generates a decompressed point cloud.

Another remarkable patent by Su is the "Adaptive Distance Based Point Cloud Compression." This invention introduces an encoder-decoder system that employs various prediction strategies based on attribute variability to compress attribute information. The selected prediction strategy determines attribute values, and attribute correction values are computed to improve the accuracy of the predicted attributes during decompression. This patent brings innovative flexibility to point cloud compression, enhancing its efficiency and quality.

Career Highlights:

Yeping Su's career has been marked by his association with industry giants like Apple Inc. and Thomson Licensing. While working at Apple Inc., Su undoubtedly contributed to the tech giant's groundbreaking innovations and played a pivotal role in advancing compression techniques. Thomson Licensing, a renowned technology company, benefitted from Su's inventive mindset as he collaborated with experienced professionals to bolster the company's intellectual property.

Collaborations:

Throughout his journey, Yeping Su has had the opportunity to collaborate with talented individuals in the industry. Among his noteworthy coworkers are Alexandros Tourapis and Hsi-Jung Wu. The synergy between Su and his colleagues has fostered an environment of innovation, leading to groundbreaking advancements in compression technologies and data optimization. Their collaborations have undoubtedly influenced the development of more efficient and reliable systems in the field.

Conclusion:

Yeping Su's contribution to the innovation landscape is undoubtedly significant, with an impressive patent record and noteworthy associations with leading companies. His expertise in compression techniques, as highlighted by his latest patents, has the potential to revolutionize data storage and processing in various industries. As a revered innovator in Cupertino, Su continues to drive advancements in compression and point cloud technologies, cementing his position as an influential figure in the field of inventions and patents.

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