Ithaca, NY, United States of America

Tianyi Zhang


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Tianyi Zhang in Machine Learning

Introduction

Tianyi Zhang is an accomplished inventor based in Ithaca, NY (US). He has made significant contributions to the field of machine learning, particularly in the area of trend detection. His innovative approach leverages machine learning models to analyze customer support messages, providing valuable insights into customer behavior and identifying anomalous events.

Latest Patents

Tianyi Zhang holds 1 patent for his invention titled "Trend detection via machine learning models." This patent describes a method that utilizes machine learning-based approaches to detect trends of behavior and anomalous events from customer support messages exchanged between customers and support agents. The invention involves training prediction models on messages corresponding to specific time periods, allowing for the processing of these messages to determine a confidence score. By applying a trend detection model to these scores, the system can identify whether a score is associated with an anomalous event, subsequently generating alerts that include relevant messages.

Career Highlights

Tianyi Zhang is currently employed at Asapp, Inc., where he continues to develop and refine his innovative ideas in machine learning. His work focuses on enhancing customer support systems through advanced technology, making significant strides in the industry.

Collaborations

Tianyi has collaborated with notable colleagues, including Sam Altschul and Kilian Quirin Weinberger. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions.

Conclusion

Tianyi Zhang's contributions to machine learning and trend detection exemplify the impact of innovative thinking in technology. His work not only enhances customer support systems but also paves the way for future advancements in the field.

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