Location History:
- Shenzhen, CN (2014 - 2023)
- San Jose, CA (US) (2013 - 2024)
Company Filing History:
Years Active: 2013-2025
Title: Innovations of Lingzhi Liu in Video Processing and Speech Recognition
Introduction
Lingzhi Liu, a notable inventor based in San Jose, CA, has made significant contributions to the fields of video processing and automatic speech recognition. With a remarkable total of 29 patents to his name, Liu's work encompasses cutting-edge technologies that leverage generative adversarial networks (GANs) and advanced neural network techniques.
Latest Patents
Among Liu's latest patents is a groundbreaking innovation titled "Generative Adversarial Network for Video Compression." This invention presents a method and apparatus for video processing, wherein a decoding terminal receives coded video frames generated by one or more GANs, along with relevant network parameters. The invention optimizes video decoding processes by performing essential functions such as reference-frame coding, motion-compensated frame prediction, and residue-frame coding using GANs.
Another notable patent is focused on enhancing automatic speech recognition, titled "Methods and Devices for Irregular Pruning for Automatic Speech Recognition." This innovation outlines a method that generates a weight matrix for layers in a neural network and introduces block-wise pruning techniques to improve model inference efficiency. Through this method, a pre-determined percentage of weights is selected and set to zero, significantly accelerating the performance of speech recognition tasks.
Career Highlights
Lingzhi Liu has held key positions in influential technology companies, including Future Wei Technologies, Inc. and Huawei Technologies Co., Limited. His expertise in artificial intelligence and machine learning has enabled him to develop innovative solutions that address pressing challenges in video processing and speech recognition.
Collaborations
In his career, Lingzhi Liu has collaborated with talented individuals such as Nam Ling and Jianhua Zheng. These partnerships have contributed to the development of groundbreaking patents and advancements in technology, showcasing the importance of teamwork in the innovation process.
Conclusion
Lingzhi Liu's extensive portfolio of patents reflects his dynamic contributions to innovation in video processing and automatic speech recognition. His work not only pushes the boundaries of current technologies but also enhances the efficiency and effectiveness of systems reliant on these innovations. Liu's aptitude for harnessing the power of generative adversarial networks and neural networks positions him as a leading figure in the technological landscape.
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