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San Francisco, CA, United States of America

Wei Liu

USPTO Granted Patents = 18 (Patent Applications = 2)

Average Co-Inventor Count = 3.9

ph-index = 3

Forward Citations = 27(Granted Patents)

Location History:

Seattle, WA (US) (2022 - 2023)
San Francisco, CA (US) (2021 - 2024)

Company Filing History:

Sift Science, Inc.

Sift Sciences, Inc.

Years Active: 2021-2025

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18 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12375500 - Systems and methods for digital threat assessment and mitigation using t-digest score distribution representations and percentile-based threat scoring in a digital threat mitigation platform (2025-07-29),

2. 12273356 - Systems and methods for digital threat assessment and mitigation using t-digest score distribution representations and percentile-based threat scoring in a digital threat mitigation platform (2025-04-08),

3. 12047401 - Systems and methods for machine learning-based detection of an automated fraud attack or an automated abuse attack (2024-07-23),

4. 11841941 - Systems and methods for accelerated detection and replacement of anomalous machine learning-based ensembles and intelligent generation of anomalous artifacts for anomalous ensembles (2023-12-12),

5. 11777962 - Systems and methods for machine learning-based detection of an automated fraud attack or an automated abuse attack (2023-10-03),

6. 11720668 - Systems and methods for accelerated detection and replacement of anomalous machine learning-based digital threat scoring ensembles and intelligent generation of anomalous artifacts for anomalous ensembles (2023-08-08),

7. 11645386 - Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform (2023-05-09),

8. 11620653 - Systems and methods for configuring and implementing a malicious account testing machine learning model in a machine learning-based digital threat mitigation platform (2023-04-04),

9. 11575695 - Systems and methods for intelligently constructing a backbone network graph and identifying and mitigating digital threats based thereon in a machine learning task-oriented digital threat mitigation platform (2023-02-07),

10. 11528290 - Systems and methods for machine learning-based digital content clustering, digital content threat detection, and digital content threat remediation in machine learning-based digital threat mitigation platform (2022-12-13),

11. 11496501 - Systems and methods for an adaptive sampling of unlabeled data samples for constructing an informative training data corpus that improves a training and predictive accuracy of a machine learning model (2022-11-08),

12. 11481490 - Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform (2022-10-25),

13. 11429974 - Systems and methods for configuring and implementing a card testing machine learning model in a machine learning-based digital threat mitigation platform (2022-08-30),

14. 11330009 - Systems and methods for machine learning-based digital content clustering, digital content threat detection, and digital content threat remediation in machine learning task-oriented digital threat mitigation platform (2022-05-10),

15. 11303665 - Systems and methods configuring a unified threat machine learning model for joint content and user threat detection (2022-04-12),

Title: Wei Liu: Pioneer in Digital Threat Mitigation

Introduction

Wei Liu, based in San Francisco, CA, is a prominent inventor with an impressive portfolio of 17 patents. His innovative contributions significantly enhance the fields of digital threat assessment and fraud detection. By leveraging advanced machine learning technologies, Wei has created systems and methods that address pressing security challenges in the digital landscape.

Latest Patents

Wei Liu's latest patents showcase his expertise in developing sophisticated digital threat mitigation strategies. One of his notable inventions is a system and method for digital threat assessment and mitigation using t-digest score distribution representations and percentile-based threat scoring. This patent outlines a comprehensive platform that enables users to assess digital event threats effectively by utilizing threat scoring machine learning models. Additionally, Wei has developed a method for machine learning-based detection of automated fraud and abuse attacks, providing a robust framework for identifying and mitigating risks associated with suspicious digital events.

Career Highlights

Wei has made significant contributions during his tenure at companies like Sift Science, Inc. and Sift Sciences, Inc. His innovative spirit and technical expertise have positioned him as a key player in developing advanced digital security solutions. Throughout his career, Wei has continuously pushed boundaries, resulting in impactful inventions that enhance safety in the digital world.

Collaborations

In his journey, Wei Liu has collaborated with talented individuals such as Hui Wang and Kostyantyn Gurnov. These collaborations have fostered a creative environment where ideas can thrive, leading to advancements in machine learning and threat detection technologies.

Conclusion

Wei Liu's commitment to innovation in digital threat mitigation is evident through his substantial number of patents and the transformative effectiveness of his inventions. His work not only addresses current security challenges but also paves the way for future developments in the realm of cybersecurity. With each invention, Wei continues to make the digital landscape a safer place for users worldwide.

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