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For the Inventor, By the Inventor

Tarrytown, NY, United States of America

Wei Sun

USPTO Granted Patents = 11 

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:

goldMedal11 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2020-2025

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11 patents (USPTO):
1. 12488279 - Domain-specific constraints for predictive modeling (2025-12-02),
2. 12307333 - Loss augmentation for predictive modeling (2025-05-20),
3. 12165058 - Multi-dimensional time series event prediction via convolutional neural network(s) (2024-12-10),
4. 12165057 - Split-net configuration for predictive modeling (2024-12-10),
5. 11341446 - Personalized behavior-driven dynamic risk management with constrained service capacity (2022-05-24),
6. 11321762 - Automated hybrid propensity decision vector generation using artificial intelligence (2022-05-03),
7. 11301773 - Method and system for time series representation learning via dynamic time warping (2022-04-12),
8. 11281994 - Method and system for time series representation learning via dynamic time warping (2022-03-22),
9. 10896371 - Multi-dimensional time series event prediction via convolutional neural network(s) (2021-01-19),
10. 10891545 - Multi-dimensional time series event prediction via convolutional neural network(s) (2021-01-12),
11. 10673711 - Resource provisioning platform with optimized bundling (2020-06-02),

Title: **Innovative Contributions of Wei Sun in Machine Learning**

Introduction

Wei Sun, based in Tarrytown, NY, is a prominent inventor known for his significant contributions to machine learning technology. With a total of 10 patents to his name, he exemplifies the blend of innovation and practical application in today's technological landscape.

Latest Patents

Among his latest innovations, Wei Sun has developed a machine learning system aimed at enhancing predictive modeling through loss augmentation. This system incorporates arbitrary constraints into deep learning models, combining original training data points with additional penalty data points. By optimizing a machine learning model through a well-defined objective function that considers both original and penalty loss functions, the system enhances the accuracy of predictions in various applications.

In another noteworthy patent, Wei Sun has introduced techniques for multi-dimensional time series event prediction using convolutional neural networks. His innovative system features a snapshot component that generates and analyzes multiple sequences of time series data linked to different data types over time intervals. This allows for advanced prediction capabilities related to the events associated with the analyzed data.

Career Highlights

Wei Sun is currently associated with the International Business Machines Corporation (IBM), a leader in technological advancements and innovations. His role as an inventor has significantly contributed to IBM's portfolio in artificial intelligence and machine learning, showcasing the company's commitment to pioneering new technologies.

Collaborations

Wei has worked alongside esteemed colleagues, including Roman Vaculin and Jinfeng Yi, to collaboratively push the boundaries of machine learning and predictive modeling. These partnerships have fostered an environment of innovation, leading to the successful development of multiple patents and advanced technological solutions.

Conclusion

With his keen insights and innovative spirit, Wei Sun continues to make substantial contributions to the field of machine learning. Through his patents and collaborations at IBM, he is not only advancing the technology of predictive modeling but also setting the stage for future breakthroughs in machine learning applications.

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