Hangzhou, China

Ziyue Yang

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Zhejiang Lab. Active years: 2022.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ziyue Yang: Innovator in Time Series Deep Survival Analysis

Introduction

Ziyue Yang is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of data analysis, particularly in survival analysis systems. His innovative approach combines advanced machine learning techniques with practical applications in data collection and analysis.

Latest Patents

Ziyue Yang holds a patent for a "Time series deep survival analysis system in combination with active learning." This system includes a data collection module, an active learning module, and a time series deep survival analysis module. The data collection module is designed to obtain survival data of objects to be analyzed. The active learning module selects a portion of right censored data to label survival time, while the time series deep survival analysis module constructs a neural network model to predict survival times based on both uncensored and right censored data. This innovative application effectively utilizes right censored data and time series features, enhancing the accuracy of survival time predictions. He has 1 patent to his name.

Career Highlights

Ziyue Yang is currently associated with Zhejiang Lab, where he continues to develop and refine his innovative systems. His work is characterized by a strong emphasis on integrating machine learning with practical data analysis techniques.

Collaborations

Ziyue has collaborated with notable colleagues, including Jingsong Li and Tianshu Zhou, contributing to advancements in their respective fields.

Conclusion

Ziyue Yang's contributions to the field of time series deep survival analysis demonstrate his innovative spirit and commitment to advancing data analysis technologies. His work not only enhances the understanding of survival data but also paves the way for future innovations in the field.

Profile summary based on public USPTO records.
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