Xi'an, China

Li Jia Lu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2022-2023

Loading Chart...
2 patents (USPTO):

Title: Innovations of Li Jia Lu

Introduction

Li Jia Lu is a prominent inventor based in Xi'an, China. He has made significant contributions to the field of technology, particularly in machine learning and data analysis. With a total of 2 patents, his work is recognized for its innovative approaches and practical applications.

Latest Patents

Li Jia Lu's latest patents include advancements in distributed machine learning in edge computing. The approaches presented enable the deployment of a distributed machine learning framework in an edge computing environment. Specifically, the status of a connection between a computing system and an edge node of a plurality of edge nodes is monitored. At least one server node and a group of worker nodes from the plurality of edge nodes are identified based on the status. A path for distributing the training data to the worker nodes is determined based on the status. The training data from the edge node to the worker nodes is distributed via the path.

Another notable patent focuses on the classification of time series data. This patent describes techniques for determining statistical properties of time series data. The techniques include a method comprising graphing, from time series data, a time series data graph. The method further comprises iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold. The first segmentation scheme can be selected from: an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme. The method further comprises associating a classification to the time series data based on the first segmentation scheme. The classification can be indicative of one selected from: stationarity of the time series data, periodicity of the time series data, and trending of the time series data.

Career Highlights

Li Jia Lu is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work has garnered attention for its potential impact on various industries.

Collaborations

Some of his notable coworkers include Jing Du and Xiang Yu Yang, who contribute to the collaborative environment that fosters innovation at IBM.

Conclusion

Li Jia Lu's contributions to the fields of machine learning and data analysis exemplify the spirit of innovation. His patents reflect a commitment to advancing technology and improving processes

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…