This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignees: Chinese Academy of Sciences, Alibaba Group Holding Limited. Active years: 2018-2021.
Company Filing History:


Years Active: 2018-2021
Title: Cong Leng: Innovator in Neural Network Technologies
Introduction
Cong Leng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks, particularly in the areas of acceleration and compression methods. With a total of 3 patents, his work is paving the way for advancements in artificial intelligence and machine learning.
Latest Patents
One of Cong Leng's 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 effectively implements acceleration and compression for deep convolutional neural networks.
Another notable patent is focused on "Neural network computing." This method includes receiving a computing instruction for a neural network, which contains a computing rule and a connection weight that is a power of 2. The process involves inputting a source operand into a shift register for multiplication operations, thereby increasing the neural network's computing speed through efficient shift operations.
Career Highlights
Cong Leng has worked with esteemed organizations such as the Chinese Academy of Sciences and Alibaba Group Holding Limited. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in neural networks.
Collaborations
Some of Cong Leng's notable coworkers include Jiaxiang Wu and Hanqing Lu. Their collaborative efforts have further enhanced the research and development of innovative technologies in the field.
Conclusion
Cong Leng's contributions to neural network technologies are significant and impactful. His patents reflect a deep understanding of the complexities involved in artificial intelligence, and his work continues to inspire advancements in the field.