Shuaijun Chen

Title: Shuaijun Chen and AI Model Training Innovation.

Introduction

Shuaijun Chen is an inventor associated with Shenzhen, China, and Huawei Technologies Co., Ltd. His patent work includes an artificial intelligence method for training neural networks, with an emphasis on improving generalization.

Latest Patents

Chen is associated with 1 patent: “Model Training Method and Related Device.” The application describes a training process that uses images from two source domains associated with a target-domain image. A model generates a prediction label for each source-domain image, and the method calculates a loss based on the difference between those predictions. The model’s parameters are then updated using that loss to produce a neural network. By considering the relationship between the predictions during training, the method aims to support stronger generalization.

Career Highlights

Chen’s listed patent reflects work in artificial intelligence and neural-network training. The invention focuses on a method for determining a training loss and updating model parameters.

Collaborations

Chen’s listed company affiliation is Huawei Technologies Co., Ltd. His named coworkers include Xu Jia and Jianzhuang Liu.

Conclusion

Shuaijun Chen’s patent work at Huawei Technologies Co., Ltd. centers on an AI model-training method designed to improve neural-network generalization.