Zexia Yin

Title: Zexia Yin and His Patent on Data Processing Model Performance

Introduction

Zexia Yin is an inventor based in Beijing, China. His patent work includes a method for improving the performance of data processing models through concept-drift detection and model retraining.

Latest Patents

Yin is associated with one patent: “Method and Device for Improving Performance of Data Processing Model, Storage Medium and Electronic Device.” The invention identifies data from a test stream as target data and uses outlier-detection parameters to check for concept drift. When drift is detected, the detection parameters are updated and the model is retrained. The process then continues with subsequent data in the stream. Yin’s record lists 1 patent.

Career Highlights

Yin is associated with Jingdong City (Beijing) Digits Technology Co., Ltd. His patent focuses on adapting a trained data processing model when incoming test data indicates concept drift.

Collaborations

Feng Lin and Xiaobo Wang are listed as Yin’s coworkers. The available information does not specify their roles in the patent or whether they collaborated on it.

Conclusion

Zexia Yin’s patent addresses model performance by combining outlier-based concept-drift detection with parameter updates and retraining.