Berkeley, CA, United States of America

Chenggang Wu



Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Innovations of Chenggang Wu in Cloud Technology

Introduction

Chenggang Wu is an accomplished inventor based in Berkeley, CA. He has made significant contributions to the field of cloud technology, particularly in optimizing learning algorithms for shared cloud environments. His innovative work has led to the development of a unique patent that enhances the efficiency of data processing in cloud systems.

Latest Patents

Chenggang Wu holds a patent titled "Learning optimizer for shared cloud." This patent describes a system and method for training cardinality models by analyzing workload data to extract and compute features of subgraphs of queries. The invention utilizes a machine learning algorithm to train cardinality models based on these features and actual runtime statistics. The trained models are then stored for future use. Additionally, the patent outlines a method for predicting the cardinality of subgraphs of a query, allowing for more efficient query execution based on predicted cardinalities.

Career Highlights

Chenggang Wu is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in cloud technology. His work focuses on improving the performance and reliability of cloud-based systems through intelligent data processing techniques.

Collaborations

Chenggang has collaborated with notable colleagues, including Alekh Jindal and Hiren Shantilal Patel, who share his passion for advancing technology in the cloud computing space.

Conclusion

Chenggang Wu's contributions to cloud technology through his innovative patent demonstrate his expertise and commitment to enhancing data processing capabilities. His work not only benefits his organization but also has the potential to impact the broader field of cloud computing significantly.

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