This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignees: Chinese Academy of Sciences, Tencent Cloud Computing (Beijing) Co., Ltd.. Active years: 2018-2026.
Company Filing History:
2 out of 3,341 
1 out of 11 Years Active: 2018-2026
Title: Jiaxiang Wu: Innovator in Deep Learning Technologies
Introduction
Jiaxiang Wu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of deep learning and image processing. With a total of 3 patents, his work focuses on enhancing the efficiency and effectiveness of neural networks and image matching techniques.
Latest Patents
One of his latest patents is titled "Deep convolutional neural network acceleration and compression method based on parameter quantification." This innovative method involves quantizing the parameters of a deep convolutional neural network to create multiple subcode books and their corresponding index values. By acquiring an output feature map based on these subcode books, the method enables acceleration and compression of the neural network, improving its performance.
Another notable patent is the "Image matching method based on cascaded binary encoding." This method utilizes a hashing look-up with multiple hashing tables to filter candidate key-points in an image. It projects the candidate subset into a high-dimensional Hamming space and builds a 'Hamming distance-memory address' hashing table. This approach allows for the discovery of optimal matching key-points, resulting in high processing speed and matching quality for efficient and accurate image matching.
Career Highlights
Jiaxiang Wu is affiliated with the Chinese Academy of Sciences, where he conducts research and development in advanced technologies. His work has positioned him as a key figure in the field of artificial intelligence and machine learning.
Collaborations
He has collaborated with notable colleagues, including Hanqing Lu and Jian Cheng, contributing to various projects that push the boundaries of technology in their respective fields.
Conclusion
Jiaxiang Wu's innovative patents and contributions to deep learning and image processing highlight his role as a leading inventor in the technology sector. His work continues to influence advancements in artificial intelligence, making significant strides in efficiency and accuracy.