Palo Alto, CA, United States of America

Dongni Wang

USPTO Granted Patents = 10 

Average Co-Inventor Count = 5.0

ph-index = 3

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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10 patents (USPTO):Explore Patents

Title: The Innovations of Dongni Wang

Introduction

Dongni Wang is a prominent inventor based in Palo Alto, California. She has made significant contributions to the field of automated reinforcement learning, holding a total of 10 patents. Her work focuses on enhancing the efficiency and effectiveness of application management through innovative simulation techniques.

Latest Patents

One of her latest patents is titled "Simulator-training for automated reinforcement-learning-based application-managers." This patent outlines methods and systems for simulation-based training of automated application managers. The simulators are generated from data collected in controlled computing environments and utilize various machine-learning models to learn state-transition and reward models. The disclosed methods provide facilities for visualizing aspects of the learned models and initializing simulator models using domain information. Additionally, the simulators employ weighted differences computed from simulator-generated and training-data state transitions to address biases and deficiencies in commonly used difference metrics.

Another notable patent is "Automated reinforcement-learning-based application manager that uses action tags and metric tags." This invention describes an automated application manager that utilizes action and metric tags to improve computational efficiency. By associating actions and metrics with tags, the application manager can explore the action-state space more effectively, leading to optimal management policies influenced by domain knowledge.

Career Highlights

Dongni Wang is currently employed at VMware, Inc., where she continues to innovate in the field of application management. Her work has been instrumental in advancing the capabilities of automated systems, making them more efficient and effective in real-world applications.

Collaborations

Throughout her career, Dongni has collaborated with notable colleagues, including Dev A Nag and Gregory T Burk. These collaborations have further enriched her work and contributed to the development of cutting-edge technologies in her field.

Conclusion

Dongni Wang's contributions to the field of automated reinforcement learning are significant and impactful. Her innovative patents and work at VMware, Inc. demonstrate her commitment to advancing technology and improving application management systems.

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