Princeton, NJ, United States of America

Xiao Yu

USPTO Granted Patents = 12 

Average Co-Inventor Count = 2.1

ph-index = 3

Forward Citations = 17(Granted Patents)


Location History:

  • Fairfax, VA (US) (2014 - 2016)
  • Jersey City, NJ (US) (2017)
  • Princeton, NJ (US) (2022 - 2023)

Company Filing History:


Years Active: 2014-2025

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12 patents (USPTO):

Title: Innovations and Contributions of Inventor Xiao Yu

Introduction

Xiao Yu is a prominent inventor based in Princeton, NJ, known for his significant contributions to the field of cybersecurity and computer systems. With a total of 12 patents to his name, he has developed innovative methods that enhance the capabilities of language models and predictive systems.

Latest Patents

One of Xiao Yu's latest patents is titled "Transformer assisted joint entity and relation extraction." This invention provides systems and methods for adapting a pretrained language model to perform cybersecurity-specific named entity recognition and relation extraction. The method involves introducing a pretrained language model and a corpus of security text to a model adaptor, generating a fine-tuned language model through unsupervised training utilizing the security text corpus. Additionally, it combines a joint extraction model with the fine-tuned language model to create an adapted joint extraction model capable of performing entity and relation label prediction. The method also includes applying distant labels to security text to produce labeled security text and performing Distant Supervision Training for joint extraction on the adapted model.

Another notable patent is "Causal attention-based multi-stream RNN for computer system metric prediction and influential events identification based on metric and event logs." This invention presents a method for system metric prediction and influential events identification by concurrently employing metric logs and event logs. It includes modeling multivariate metric series and individual events using a multi-stream recurrent neural network (RNN) to improve future metric predictions. The multi-stream RNN employs an attention mechanism to identify target events responsible for fluctuations in target metrics.

Career Highlights

Xiao Yu has worked with notable companies, including NEC Corporation, where he has applied his expertise in developing advanced technologies. His work has significantly impacted the fields of cybersecurity and predictive analytics.

Collaborations

Xiao Yu has collaborated with talented individuals such as Haifeng Chen and Ding Li, contributing to the advancement of innovative technologies in his field.

Conclusion

Xiao Yu's contributions to innovation and technology, particularly in cybersecurity and predictive systems, highlight his role as a leading inventor. His patents reflect a commitment to enhancing the capabilities of language models and predictive analytics, making a lasting impact in the industry.

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