Santa Clara, CA, United States of America

Yu Liang


Average Co-Inventor Count = 2.9

ph-index = 4

Forward Citations = 54(Granted Patents)


Location History:

  • Mountain View, CA (US) (2013 - 2016)
  • Santa Clara, CA (US) (2015 - 2016)
  • Beijing, CN (2016 - 2020)

Company Filing History:


Years Active: 2013-2020

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6 patents (USPTO):Explore Patents

Title: Yu Liang: Innovator in Mesoporous Zeolite and Deep Learning Technologies

Introduction

Yu Liang is a prominent inventor based in Santa Clara, CA, known for his contributions to the fields of materials science and artificial intelligence. With a total of 6 patents, he has made significant advancements in synthesizing innovative materials and developing sophisticated classification systems.

Latest Patents

One of Yu Liang's latest patents is titled "Methods for synthesizing mesoporous zeolite ETS-10 containing metal without a templating agent." This invention outlines a method for creating mesoporous zeolite ETS-10, which includes several steps such as mixing a silicon source with a NaOH solution, adding a KOH or KF solution, and incorporating a titanium source along with a precursor compound containing metals like Ni and/or Co. The resulting mesoporous zeolite ETS-10 boasts a specific surface area of 320 to 420 m²/g and a mesoporous volume of 0.11 to 0.21 cm³/g, making it suitable for use as a catalyst in the synthesis of macromolecular fine chemicals.

Another notable patent is "Classifying resources using a deep network." This invention involves methods, systems, and apparatus for scoring concept terms through a deep learning approach. The process includes receiving input features of a resource, processing these features using embedding functions, and applying neural network layers to generate category scores that predict the likelihood of a resource belonging to specific categories.

Career Highlights

Throughout his career, Yu Liang has worked with leading companies such as Google Inc. and PetroChina Company Limited. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in technology and materials science.

Collaborations

Yu Liang has collaborated with notable professionals in his field, including Xiaotao Duan and Qingzhou Wang. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Yu Liang's work exemplifies the intersection of materials science and artificial intelligence, showcasing his innovative spirit and dedication to advancing technology. His contributions continue to influence various industries, paving the way for future developments.

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