Beijing, China

Ji Hui Yang

This inventor holds 39 USPTO granted patents and 27 published patent applications, primarily in Machine Learning. Top assignees: International Business Machines Corporation, Vmware, Inc., Anthropic, Pbc. Active years: 2016-2026.

USPTO Granted Patents = 39 

% Patents Active = 76.9

Average Co-Inventor Count = 4.3

ph-index = 3

Forward Citations = 31(Granted Patents)


Location History:

  • Xian, CN (2017 - 2022)
  • Hunan, CN (2023)
  • Beijing, CN (2016 - 2024)

Company Filing History:


Years Active: 2016-2026

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Areas of Expertise:
Artificial Data Generation
Anomaly Detection
Predictive Analysis
Automated Forecasting
Feature Generation
Incremental Learning
Data Clustering
Traffic Congestion Patterns
Decision Trees
Visualization
Ensemble Models
Data Discovery
39 patents (USPTO):Explore Patents

Title: **Ji Hui Yang: Innovator in Decision Tree Execution and Predictive Analysis**

Introduction

Ji Hui Yang, an accomplished inventor based in Beijing, China, has made significant contributions to the fields of computer science and data analysis. With an impressive portfolio of 26 patents, Yang has focused his work on enhancing the efficiency and accuracy of decision-making processes through innovative computational methods.

Latest Patents

Among his recent inventions, two notable patents stand out. The first is centered around the **efficient execution of a decision tree**, where Yang's method involves obtaining target values from a variety of attributes pertaining to a target entity. His system leverages historical data to generate predictions by determining distance measures between a target entity and leaf nodes in a decision tree. The second patent focuses on **predictive analysis on running batch jobs**, where he devised a method to create an aggregate predictive model that improves the accuracy and stability of job end-time predictions. This innovation optimizes batch processing efficiency by providing accurate predictions during job execution.

Career Highlights

Yang's professional journey includes significant roles in renowned companies such as IBM and VMware, Inc. His experience in these organizations has enabled him to develop and refine cutting-edge technologies that have practical applications in various sectors, enhancing operational efficiency and data analysis capabilities.

Collaborations

Throughout his career, Ji Hui Yang has worked alongside esteemed colleagues, including Jing James Xu and Si Er Han. These collaborations have likely fostered an exchange of ideas and innovations that have further enriched his work in patentable technologies related to predictive analysis and machine learning.

Conclusion

Ji Hui Yang stands as a prominent figure in the landscape of innovation, driving advancements in decision-making and predictive analytics through his inventive methodologies. With his extensive patent portfolio and collaborative efforts, Yang continues to shape the future of computing and data analysis, proving to be an invaluable contributor to technological progress.

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