Haozhi Zhang

Title: Haozhi Zhang: Innovator in Machine Vision Technologies

Introduction

Haozhi Zhang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of machine vision, with a focus on developing innovative methods and systems for training machine vision models. With a total of 3 patents to his name, Zhang's work is paving the way for advancements in artificial intelligence and product recognition technologies.

Latest Patents

Zhang's latest patents include "Complexity-based progressive training for machine vision models" and "Compressed network for product recognition." The first patent describes methods and systems for training machine vision models (MVMs) using 'noisy' training datasets. This involves designing a progressively-sequenced learning curriculum that allows the MVM to learn from easier examples first, gradually moving to more complex images. The second patent focuses on technologies that detect unpackaged, unlabeled, or mislabeled products based on product images. By leveraging improved machine learning techniques, this solution reduces the full product space for product search to a more manageable partial product space, enhancing user evaluation and transaction accuracy.

Career Highlights

Throughout his career, Haozhi Zhang has worked with various companies, including Shenzhen Malong Technologies Co., Ltd. His innovative approaches and technical expertise have positioned him as a key player in the machine vision industry.

Collaborations

Zhang has collaborated with notable colleagues such as Sheng Guo and Weilin Huang, contributing to the development of cutting-edge technologies in machine vision.

Conclusion

Haozhi Zhang's contributions to machine vision and product recognition technologies highlight his role as an influential inventor in the field. His innovative patents and collaborative efforts continue to drive advancements in artificial intelligence.