Chen Wang

Title: Innovations of Inventor Chen Wang

Introduction

Chen Wang is a notable inventor based in Chappaqua, NY, with a remarkable portfolio of 16 patents. His work primarily focuses on advancements in computing resource allocation and log message aggregation, showcasing his expertise in machine learning and systems engineering.

Latest Patents

One of Chen Wang's latest patents is titled "Allocating Computing Resources Using a Machine Learning Model." This invention presents a method and system for allocating computing resources based on a trained machine learning model. The process involves receiving a request for a specific workload that requires a certain amount of computing resources. The system identifies a set of computing clusters with available resources and applies a trained deep-reinforcement learning model to generate a policy for resource allocation. The policy is then verified against predetermined criteria to ensure it meets the necessary thresholds before the resources are allocated.

Another significant patent is "Automatic Online Log Template Mining." This invention includes methods and systems for aggregating log messages by determining similarity scores for incoming messages compared to stored templates. When an incoming message does not perfectly match a template, a token in the template is replaced with a wildcard to improve the match, thereby enhancing the efficiency of log message processing.

Career Highlights

Throughout his career, Chen Wang has contributed to major companies such as IBM and Red Hat, Inc. His experience in these organizations has allowed him to develop innovative solutions that address complex computing challenges.

Collaborations

Chen has collaborated with notable professionals in his field, including Huamin Chen and Lingfei Wu. Their joint efforts have further advanced the technologies in which they specialize.

Conclusion

In summary, Chen Wang is a distinguished inventor whose contributions to computing resource allocation and log message aggregation have made a significant impact in the technology sector. His innovative patents and collaborations reflect his commitment to advancing the field of machine learning and systems engineering.