Los Angeles, CA, United States of America

Jiayun Li



Average Co-Inventor Count = 4.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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5 patents (USPTO):Explore Patents

Title: Innovations of Jiayun Li in Machine Learning and Object Detection

Introduction

Jiayun Li is a prominent inventor based in Los Angeles, CA, known for his contributions to machine learning and object detection technologies. With a total of five patents to his name, he has made significant strides in the field of artificial intelligence.

Latest Patents

One of Jiayun Li's latest patents is titled "Image captioning with weakly-supervised attention penalty." This patent discloses techniques for training a machine-learning model for captioning images. The process involves generating a plurality of feature vectors and visual attention maps based on an input image. Each feature vector corresponds to different regions of the image, and caption attention maps are generated based on these feature vectors. An attention penalty is calculated by comparing the caption attention maps with the visual attention maps, leading to the development of a loss function that is used to train the visual and attention models.

Another notable patent is "Ventral-dorsal neural networks: object detection via selective attention." This methodology focuses on efficient object classification within a visual medium. It utilizes a first neural network for attention-based object localization, generating a visual mask that is applied to the visual medium. The masked visual medium is then processed by a second neural network to detect and classify objects effectively.

Career Highlights

Jiayun Li is currently employed at Ancestry.com Operations Inc., where he continues to innovate in the field of machine learning. His work has garnered attention for its practical applications in various industries, particularly in enhancing image processing and object detection capabilities.

Collaborations

Some of Jiayun Li's notable coworkers include Mohammad K Ebrahimpour and Yen-Yun Yu, who contribute to the collaborative environment that fosters innovation and creativity in their projects.

Conclusion

Jiayun Li's contributions to machine learning and object detection are paving the way for advancements in artificial intelligence. His innovative patents reflect a commitment to enhancing technology and improving user experiences across various applications.

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