Sikai Wang

Title: Innovations of Sikai Wang in Neural Network Processing

Introduction: Sikai Wang is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of neural network processing, particularly through his innovative patent that enhances the performance and accuracy of batch normalization in fixed-point implementations.

Latest Patents: Sikai Wang holds a patent titled "Methods and apparatuses for high performance and accuracy fixed-point batchnorm implementation." This patent describes a method for implementing a fixed-point batchnorm layer in a neural network for data processing. The method involves receiving fixed-point input data over a channel of a standalone floating-point batchnorm layer and converting the floating-point input data into fixed-point input data. It also includes obtaining fixed-point quantization parameters based on the input data and floating-point parameters, converting the standalone floating-point batchnorm layer into a fixed-point batchnorm layer, and mapping it to a fixed-point convolution layer for efficient computation.

Career Highlights: Sikai Wang is currently employed at Beijing Transtreams Technology Co. Ltd., where he continues to develop innovative solutions in the field of data processing and neural networks. His work focuses on enhancing the efficiency and accuracy of machine learning algorithms.

Collaborations: Sikai Wang collaborates with Ming Kai Hsu, contributing to advancements in their shared field of expertise. Their partnership fosters innovation and drives the development of cutting-edge technologies.

Conclusion: Sikai Wang's contributions to neural network processing through his patent demonstrate his commitment to advancing technology in this critical area. His work at Beijing Transtreams Technology Co. Ltd. and collaboration with Ming Kai Hsu highlight the importance of teamwork in driving innovation.