This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yuxiang Li and Multivariate Time Series Anomaly Detection.
Introduction
Yuxiang Li is an inventor based in Mountain View, California, and is associated with Google Inc. His patent work addresses methods for identifying anomalies in multivariate time series data.
Latest Patents
Li is credited with 1 patent, titled “Multivariate Time Series Anomaly Detection.” The method receives a query about anomalies in multivariate time series data containing endogenous and exogenous variables. It assesses the exogenous variable’s impact on the endogenous variable, derives univariate time series data, and trains one or more models using those data. The models help determine expected values, which are compared with observed values. When a difference meets a specified threshold, the method identifies the value as anomalous and reports it to a user.
Career Highlights
The patent reflects work on applying time series modeling to anomaly detection. By accounting for relationships between endogenous and exogenous variables, the described approach aims to identify unusual values and communicate them to users.
Collaborations
Li’s listed coworkers include Haoming Chen and Jiashang Liu. The patent information provided does not specify their roles or contributions to this invention.
Conclusion
Yuxiang Li’s patent describes a model-based approach to detecting and reporting anomalies in multivariate time series data.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile