Bothell, WA, United States of America

Jian Jiao

This inventor holds 17 USPTO granted patents and 7 published patent applications, primarily in Artificial Intelligence. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jian Jiao. Retrieved from https://idiyas.com/inventor/jian-jiao-0j20wdd7

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 17 

% Patents Active = 100.0

Average Co-Inventor Count = 3.9

ph-index = 1

Forward Citations = 6(Granted Patents)


Location History:

  • Bothell, WA (US) (2020 - 2021)
  • Bellevue, WA (US) (2022 - 2024)

Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Neural Networks
Information Retrieval
Generative Models
Content Recommendation
Semantic Similarity
Predictive Modeling
Graph Convolution
Multi-task Learning
Attention Mechanisms
Data Models
Keyword Retrieval
Contrastive Learning
17 patents (USPTO):Explore Patents

Title: Innovations of Inventor Jian Jiao

Introduction

Jian Jiao is a prominent inventor based in Bothell, WA (US). He has made significant contributions to the field of technology, holding a total of 17 patents. His work primarily focuses on advancements in machine learning and tagging systems.

Latest Patents

One of Jian Jiao's latest patents is titled "Multi-task sequence tagging with injection of supplemental information." This innovative tagging system appends supplemental information to an original sequence of items, producing a supplemented sequence. It utilizes a transformer-based encoder neural network to map the supplemented sequence into hidden state information. Additionally, a post-processing neural network transforms this hidden state information into a tagged output sequence, enhancing the accuracy of the tags produced. The training system for this tagging system can commence using a pre-trained model for the encoder neural network, further increasing the accuracy of the tags.

Another notable patent is "Look ahead strategy for trie-based beam search in generative retrieval." This patent outlines systems and methods for generating a keyword sequence from an input query. The process involves encoding a first text sequence into a source sequence representation using a machine learning model's encoder. A keyword sentence is then generated from this representation using a decoder, which selects prediction tokens based on modified generation scores.

Career Highlights

Jian Jiao is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work has had a significant impact on the field, particularly in enhancing the capabilities of machine learning applications.

Collaborations

Jian collaborates with talented individuals such as Ruofei Zhang and Yeyun Gong, contributing to a dynamic and innovative work environment.

Conclusion

Jian Jiao's contributions to technology through his patents and work at Microsoft Technology Licensing, LLC highlight his role as a leading inventor in the field. His innovative approaches to machine learning and tagging systems continue to push the boundaries of what is possible in technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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