Company Filing History:
Years Active: 2020-2022
Title: Weiyang Mo: Innovator in Neural Network Technologies
Introduction
Weiyang Mo is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of neural networks and machine learning. With a total of 2 patents, he has made significant strides in predicting system performance and improving transmission filtering.
Latest Patents
One of Weiyang Mo's latest patents is titled "Neural network transfer learning for quality of transmission prediction." This invention provides systems and methods for predicting the performance of a modulation system. A neural network model is trained using performance information from a source system. The model is then modified with transferable knowledge about a target system to be evaluated. Specific characteristics of the target system are used to tune the model, creating a source-based target model that predicts the performance of the target system.
Another notable patent is "Transmission filtering using machine learning." This invention outlines systems and methods for transmission filtering, where a receiver is coupled to a transmission line to receive distorted optical symbols. A distortion filter replaces these distorted symbols with predicted symbols using a trained neural network. A decoder is then used to decode the predicted symbols, enhancing the overall transmission quality.
Career Highlights
Weiyang Mo is currently employed at NEC Corporation, where he continues to innovate and develop cutting-edge technologies. His work focuses on applying machine learning techniques to improve communication systems and enhance data transmission.
Collaborations
Weiyang has collaborated with notable colleagues such as Yue-Kai Huang and Shaoliang Zhang, contributing to advancements in their respective fields.
Conclusion
Weiyang Mo's innovative work in neural networks and machine learning has positioned him as a key figure in the technology sector. His patents reflect a commitment to enhancing system performance and transmission quality, making significant contributions to the field.
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