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For the Inventor, By the Inventor

Beijing, China

Jian-guang Lou

USPTO Granted Patents = 14 

Average Co-Inventor Count = 4.4

ph-index = 5

Forward Citations = 138(Granted Patents)


Company Filing History:

goldMedal14 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2010-2024

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14 patents (USPTO):Explore Patents
1. 12159115 - Generating model training data from a domain specification (2024-12-03),
2. 9160794 - Network address translators (NAT) type detection techniques (2015-10-13),
3. 8953684 - Multiview coding with geometry-based disparity prediction (2015-02-10),
4. 8495429 - Log message anomaly detection (2013-07-23),
5. 8452886 - Peer-to-peer packet scheduling algorithm (2013-05-28),
6. 8352585 - Peer-to-peer (P2P) streaming overlay construction and optimization (2013-01-08),
7. 8239905 - Lecture capture and broadcast system (2012-08-07),
8. 8116235 - Peer-to-peer aided live video sharing system (2012-02-14),
9. 8051161 - Peer-to-peer (P2P) streaming overlay construction and optimization (2011-11-01),
10. 7995476 - Bandwidth allocation algorithm for peer-to-peer packet scheduling (2011-08-09),
11. 7962627 - Peer-to-peer network address translator (NAT) traversal techniques (2011-06-14),
12. 7822280 - Epipolar geometry-based motion estimation for multi-view image and video coding (2010-10-26),
13. 7743086 - Distributed kernel density estimation (2010-06-22),
14. 7733808 - Peer-to-peer aided live video sharing system (2010-06-08),

Title: **Jian-guang Lou: Innovator in Machine Learning and Network Address Translation**

Introduction

Jian-guang Lou is a prominent inventor based in Beijing, China, known for his significant contributions to the fields of machine learning and network address translation. With a remarkable portfolio that includes 14 patents, Lou exemplifies the spirit of innovation and technological advancement.

Latest Patents

Among his latest inventions, Jian-guang Lou has developed a novel method for generating model training data from domain specifications. This method produces training data for machine learning applications in natural language processing, such as semantic parsing for translation tasks. By creating a formula tree from a combination of formula grammar and natural language templates, he enables the generation of machine learning training data instances that incorporate various examples and context.

Additionally, Lou has made strides in enhancing NAT type detection techniques. His innovative approach allows peers to determine their NAT type more efficiently by sending multiple test messages to a server simultaneously. This method significantly reduces the time needed to identify the NAT type, employing a combination of received responses and timeout indications for analysis.

Career Highlights

Jian-guang Lou is currently associated with Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology through his inventions. His work not only highlights the importance of machine learning in real-world applications but also advances the efficiency of online communication protocols.

Collaborations

Throughout his career, Lou has collaborated with renowned professionals in the industry, including Jiang Tao Li and Yusuo Hu. These partnerships have fostered an environment of innovation, allowing for the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Jian-guang Lou's contributions to machine learning and network address translation are noteworthy, marking him as a significant figure in today's technological landscape. With multiple patents to his name and ongoing collaborations at Microsoft Technology Licensing, LLC, Lou's innovative spirit continues to inspire the next generation of inventors and technologists.

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