Bowen Li

Title: Innovations by Inventor Bowen Li

Introduction

Bowen Li is a notable inventor based in Cary, NC (US). He has made significant contributions to the field of machine learning and signal processing. With a total of 2 patents, his work focuses on methodologies that enhance the performance of receivers in various applications.

Latest Patents

Bowen Li's latest patents include a "Machine learning based methodology for signal waveform, eye diagram, and bit error rate (BER) bathtub prediction." This invention relates to predicting transient output waveforms at a receiver's output after training a neural network model with corresponding input and output waveforms. The machine learning model utilizes an adaptive-ordered auto-regressive moving average external input based on neural networks (NNARMAX) to replicate the performance of a continuous time linear equalization (CTLE) mode of the receiver. Additionally, a Pearson Correlation Coefficient (PCC) score is determined to select the appropriate number of previous inputs and outputs for the neural network model. This innovative approach allows for the prediction of various data patterns without prior knowledge of the receiver's features or parameters.

Another significant patent is the "Machine learning based methodology for adaptive equalization." This invention provides a machine learning methodology that leverages its own failure experiences to optimize future solutions. The method includes training a neural network model and determining whether all equalization parameters are tracked. If not, a second training on a cascaded model is performed, which includes successful learning experiences from the first model. This approach maintains prediction accuracy while minimizing the demand for training data.

Career Highlights

Bowen Li is currently employed at Xilinx, Inc., where he applies his expertise in machine learning and signal processing. His work has contributed to advancements in the field, particularly in enhancing receiver performance.

Collaborations

Some of Bowen Li's coworkers include Shuo Jiao and Romi Mayder, with whom he collaborates on various projects within the company.

Conclusion

Bowen Li's innovative patents and contributions to machine learning and signal processing demonstrate his significant impact in the field. His work continues to advance technology and improve receiver performance in various applications.