Weichen Wang

USPTO Granted Patents = 9 (Patent Applications = 2)

Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 3(Granted Patents)

Company Filing History:

6 out of 164,108

International Business Machines Corporation

Years Active: 2022-2023

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9 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11810013 - Systems and methods for alerting to model degradation based on survival analysis (2023-11-07),

2. 11768917 - Systems and methods for alerting to model degradation based on distribution analysis (2023-09-26),

3. 11556845 - System for identifying duplicate parties using entity resolution (2023-01-17),

4. 11544477 - System for identifying duplicate parties using entity resolution (2023-01-03),

5. 11531907 - Automated control of a manufacturing process (2022-12-20),

6. 11455561 - Alerting to model degradation based on distribution analysis using risk tolerance ratings (2022-09-27),

7. 11436438 - Tabular data generation for machine learning model training system (2022-09-06),

8. 11354583 - Automatically generating rules for event detection systems (2022-06-07),

9. 11256597 - Ensemble approach to alerting to model degradation (2022-02-22),

Title: Weichen Wang: Innovator in Detection Modeling Systems

Introduction

Weichen Wang is a prominent inventor based in Cary, NC (US), known for his contributions to detection modeling systems. With a total of 9 patents, he has made significant advancements in the field of analytical models and their degradation analysis.

Latest Patents

Wang's latest patents include innovative systems and methods for alerting to model degradation based on survival analysis. This detection modeling system is designed to obtain health value data associated with an analytical model, determine the time period at which the model was trained, and identify a survival time period based on this data. The system is capable of repeating these steps for multiple analytical models, performing survival analysis effectively.

Another notable patent focuses on systems and methods for alerting to model degradation based on distribution analysis. This detection modeling system performs a distribution analysis to alert users of potential model degradation. It includes a distribution analysis module that selects model metrics for analysis and determines normal distributions for these metrics. The system compares model metric values to the normal distributions and alerts users to any degradation based on this comparison.

Career Highlights

Weichen Wang has worked with renowned companies such as IBM and SAS Institute Inc. His experience in these organizations has contributed to his expertise in detection modeling and analytical systems.

Collaborations

Wang has collaborated with notable coworkers, including Shanna Hayes and Eliza Salkeld, further enhancing his innovative work in the field.

Conclusion

Weichen Wang's contributions to detection modeling systems and his innovative patents highlight his significant role as an inventor. His work continues to influence the field of analytical models and their degradation analysis.

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2 patents pending:

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