This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Inspur Suzhou Intelligent Technology Co., Ltd. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Xingchen Cui in Image Feature Extraction
Introduction
Xingchen Cui is a notable inventor based in Shandong, China. He has made significant contributions to the field of image processing through his innovative methods and devices. His work focuses on enhancing the efficiency of neural network models, particularly in the extraction of image features.
Latest Patents
Xingchen Cui holds a patent for a "Method, apparatus and device for extracting image features, and storage medium." This patent outlines a method that includes obtaining parameters to be quantized from a network layer in a neural network model. The process involves determining whether the values of these parameters are all positive numbers. If they are, an asymmetric linear quantization logic is applied. Conversely, if the values are not all positive, a symmetric linear quantization logic is executed. Ultimately, this method allows for the effective extraction of features from input images using the optimized neural network model. He has 1 patent to his name.
Career Highlights
Xingchen Cui is currently employed at Inspur Suzhou Intelligent Technology Co., Ltd. His role at the company allows him to apply his expertise in neural networks and image processing. His innovative approach has positioned him as a valuable asset in the field of technology.
Collaborations
Xingchen has collaborated with notable colleagues such as Gang Dong and Jian Zhao. Their combined efforts contribute to the advancement of technology in image feature extraction.
Conclusion
Xingchen Cui's work exemplifies the innovative spirit in the realm of image processing. His contributions through his patent demonstrate a commitment to enhancing neural network efficiency. His career continues to evolve as he collaborates with talented professionals in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile