Saratoga, CA, United States of America

Hujun Yin

This inventor holds 138 USPTO granted patents and 30 published patent applications, plus 3 CIPO patents and 20 EPO patents, primarily in Wireless Communications (CPC class H04W72-042). Top assignees: Intel Corporation, At&t Intellectual Property I, LP, At+t Corp.. Active years: 2007-2024.

USPTO Granted Patents = 138 

% Patents Active = 51.4

 

 

Average Co-Inventor Count = 3.4

ph-index = 12

Forward Citations = 706(Granted Patents)

Forward Citations (Not Self Cited) = 656(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Bethlehem, PA (US) (2007 - 2012)
  • Whitehall, PA (US) (2010 - 2015)
  • San Jose, CA (US) (2010 - 2016)
  • Santa Clara, CA (US) (2011 - 2016)
  • Spokane, WA (US) (2013 - 2023)
  • Saratoga, CA (US) (2012 - 2024)

Company Filing History:


Years Active: 2007-2024

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Areas of Expertise:
D2D Discovery
Interference Mitigation
Multicarrier Design
Wireless Networks
Signal Encoding
Power Control
Neural Networks
Machine Learning
Wi-Fi Channels
Video Coding
Uplink Control
Device Communication
138 patents (USPTO):Explore Patents

Title: Hujun Yin: Leading Innovator in Wireless Communication

Introduction:

In the realm of wireless communication, Hujun Yin stands as a remarkable inventor and pioneer. With a strong presence in Saratoga, CA, he has made significant contributions to the industry and holds an impressive total of 124 patents. Yin's latest patents demonstrate his expertise in directed wireless communication and machine learning-based link adaptation, showcasing his dedication to advancing the field.

Latest Patents:

Yin's recent patents highlight his innovative thinking and ability to devise novel solutions in wireless communication. His patent on directed wireless communication introduces methods and apparatuses for directing wireless communication. This includes the use of focused beams to transmit sequences of symbols simultaneously to multiple client devices. By enhancing the efficiency and reliability of wireless transmissions, Yin's invention has the potential to revolutionize communication networks.

Another notable patent by Yin revolves around machine learning-based link adaptation. This invention leverages a neural network to identify the channel quality indicator (CQI) associated with the lowest error rate for a given sub-band. Additionally, it employs a covariance matrix to enable accurate determination of a rank indicator (RI) corresponding to the channel's quality. These advancements contribute to optimizing link performance and overall network efficiency.

Career Highlights:

Yin's illustrious career has been marked by his association with renowned technology companies, including Intel Corporation and Intel IP Corporation. Through his roles in these organizations, he has been able to apply his expertise and work alongside some of the industry's brightest minds. These collaborations have undoubtedly enriched his innovation process and further elevated his contributions to the field.

Collaborations:

Throughout his career, Yin has had the privilege of collaborating with esteemed professionals in the wireless communication realm. Notably, he has worked closely with RongZhen Yang and Qinghua Li, both of whom have made significant contributions to the industry. These collaborative efforts have fostered an environment of knowledge-sharing and innovation, leading to the development of groundbreaking technologies.

Conclusion:

Hujun Yin's impressive patent portfolio and groundbreaking inventions demonstrate his expertise and dedication to advancing wireless communication. His contributions in directed wireless communication and machine learning-based link adaptation have the potential to reshape the future of communication networks. With his extensive career experience and notable collaborations, Yin continues to drive innovation in the industry. As a leading innovator, he continues to inspire and push the boundaries of what is possible in wireless communication technology.

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