Yu Ding

Title: Innovations by Yu Ding in Facial Expression Technology

Introduction

Yu Ding is an accomplished inventor based in Zhejiang, China, known for his contributions to the field of facial expression technology. With a total of two patents to his name, Ding has made significant strides in developing methods and devices that enhance the understanding and processing of facial expressions.

Latest Patents

Ding's latest patents include a "Training method of facial expression embedding model," which outlines a comprehensive approach to training a model that can accurately interpret facial expressions. This method involves determining a sample set that includes three images and a sample label for each sample. The training process aims to develop a facial expression embedding model that consists of both a full face embedding sub-model and an identity embedding sub-model. The output of this model is determined by the difference between the outputs of these two sub-models.

Another notable patent is the "Application link resource scaling method, apparatus, and system based on concurrent stress testing of plural application links." This innovation focuses on optimizing resource allocation for applications linked in a service scenario. The method assesses the capacity requirements of all applications in the link and allocates resources accordingly, ensuring system stability and efficiency while minimizing resource waste.

Career Highlights

Throughout his career, Yu Ding has worked with prominent companies such as NetEase (Hangzhou) Network Co., Ltd. and Alibaba Group Holding Limited. His experience in these leading technology firms has allowed him to refine his skills and contribute to groundbreaking innovations in the tech industry.

Collaborations

Ding has collaborated with notable professionals in his field, including Wei Zhang and Xianpeng Ji. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Yu Ding's innovative work in facial expression technology and resource scaling methods showcases his expertise and commitment to advancing the field. His patents reflect a deep understanding of both theoretical and practical applications, making him a significant figure in the realm of technology.