Ann Arbor, MI, United States of America

Xinyi Zheng


Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations by Xinyi Zheng

Introduction

Xinyi Zheng is an accomplished inventor based in Ann Arbor, MI. He has made significant contributions to the field of neural networks, holding three patents that showcase his innovative approach to technology. His work focuses on enhancing the capabilities of neural networks through advanced methodologies.

Latest Patents

Xinyi Zheng's latest patents include "Cooperative neural networks with spatial containment constraints." This patent describes methods, systems, and computer program products that involve dividing a processing task into multiple sub-tasks and training independent neural networks. The process incorporates constraint-based domain knowledge to improve the performance of these networks. Another notable patent is "Vision-based cell structure recognition using hierarchical neural networks and cell boundaries to structure clustering." This invention outlines a method for detecting table styles and selecting appropriate cell detection models to identify cells within tables, providing valuable information to users.

Career Highlights

Xinyi Zheng is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning.

Collaborations

Xinyi Zheng collaborates with talented individuals such as Xin Ru Wang and Douglas Ronald Burdick. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking developments in their respective fields.

Conclusion

Xinyi Zheng's contributions to neural networks and artificial intelligence demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex systems and a drive to push the boundaries of technology.

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