Company Filing History:
Years Active: 2019-2020
Title: Innovations of Zhijian Lu in Data Compression Technology
Introduction
Zhijian Lu is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of data compression technology, particularly in the context of convolutional neural networks. With a total of two patents to his name, Lu's work focuses on enhancing the efficiency of data processing.
Latest Patents
Zhijian Lu's latest patents include a high throughput hardware unit that provides efficient lossless data compression in convolutional neural networks. The first patent describes an apparatus that includes a first memory interface circuit and a decompression circuit. This circuit is designed to receive a reduced size representation of a coding block of data, which consists of a first bit map, a second bit map, and zero or more non-zero values. The decompression circuit is capable of losslessly restoring the coding block of data and transferring it to a processing circuit. The second patent also focuses on a high throughput hardware unit for efficient lossless data compression. It features a compression circuit that receives a coding block of data, generates a reduced size representation, and writes this representation to external memory.
Career Highlights
Throughout his career, Zhijian Lu has worked with notable companies such as Ambarella, Inc. and Ambarella International LP. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in the tech industry.
Collaborations
Zhijian Lu has collaborated with various professionals in his field, including his coworker Junqiang Lan. These collaborations have likely played a role in the development of his innovative patents.
Conclusion
Zhijian Lu's contributions to data compression technology demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of the complexities involved in data processing, making him a significant figure in the field.
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