Seattle, WA, United States of America

Ying-zong Huang


Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2008-2025

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7 patents (USPTO):Explore Patents

Title: Innovations of Ying-zong Huang

Introduction

Ying-zong Huang is a notable inventor based in Seattle, WA. He has made significant contributions to the field of event prediction through his innovative computer-implemented methods. With a total of 7 patents to his name, Huang's work has garnered attention for its practical applications in various industries.

Latest Patents

Huang's latest patents focus on advanced event prediction techniques. One of his notable inventions involves storing key-value pairs that include a key tuple and an associated value in a data store. This method builds a prediction model based on a subset of these key-value pairs. When a prediction query is received, the system generates a response that includes a predicted value for the specified key tuple. In another application, his system is designed to ingest partially incomplete unstructured data from various sources. It converts this data into a structured format represented as key-value pairs, allowing for effective event prediction based on the model.

Career Highlights

Throughout his career, Ying-zong Huang has worked with prominent organizations such as Nike, Inc. and the Massachusetts Institute of Technology. His experience in these institutions has contributed to his expertise in developing innovative solutions in the realm of data prediction.

Collaborations

Huang has collaborated with talented individuals in his field, including Vishal Doshi and Devavrat D Shah. These partnerships have likely enhanced his research and development efforts, leading to impactful innovations.

Conclusion

Ying-zong Huang's contributions to event prediction through his patents demonstrate his innovative spirit and technical expertise. His work continues to influence the field and showcases the importance of advancements in data processing and prediction methodologies.

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