This inventor holds 2 USPTO granted patents. Top assignee: University of Electronic Science and Technology of China. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Chengdu, CN (2023)
- Sichuan, CN (2023)
Company Filing History:
Years Active: 2023
Title: Innovations by Xiaofeng Gu
Introduction
Xiaofeng Gu is a prominent inventor based in Chengdu, China. He has made significant contributions to the fields of 3D object reconstruction and machine reading comprehension. With a total of 2 patents, his work showcases innovative approaches to complex technological challenges.
Latest Patents
One of Xiaofeng Gu's latest patents is a "Method for reconstructing a 3D object based on dynamic graph network." This invention provides a systematic approach to reconstructing 3D objects by utilizing feature vectors obtained from 2D images. The method involves preparing input data, creating a relationship matrix, and employing a dynamic graph network to enhance the accuracy of 3D object reconstruction. The process culminates in regressing the position to deduce the 3D structure of the object.
Another notable patent is the "Method for machine reading comprehension." This method outlines a comprehensive process for understanding text through character-level indication vectors and various encoded vectors. It employs a bidirectional attention model and a shared attention model to predict answer positions based on context, thereby enhancing machine reading capabilities.
Career Highlights
Xiaofeng Gu is affiliated with the University of Electronic Science and Technology of China. His academic background and research focus have positioned him as a key figure in advancing technology in his field. His innovative patents reflect his commitment to pushing the boundaries of what is possible in machine learning and computer vision.
Collaborations
Xiaofeng Gu has collaborated with notable colleagues, including Jianping Li and Jian Hu. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Xiaofeng Gu's contributions to the fields of 3D object reconstruction and machine reading comprehension highlight his innovative spirit and dedication to advancing technology. His patents serve as a testament to his expertise and the impact of his work in the scientific community.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile