Yujiao Cheng

Title: Yujiao Cheng: Innovator in Anomaly Detection Technologies

Introduction

Yujiao Cheng is a prominent inventor based in Fremont, CA, specializing in advanced anomaly detection technologies. With a focus on k-nearest neighbors (k-NN) methodologies, she has contributed significantly to the field through her innovative patents. Cheng's work aims to enhance the accuracy and efficiency of anomaly detection systems, particularly in industrial applications.

Latest Patents

Yujiao Cheng holds 2 patents that showcase her expertise in anomaly detection. Her latest patents include:

1. **Feature weighting for kNN-based anomaly detection**: This patent describes a method and system for detecting anomalies from object images. A feature extractor provides data characterizing part images, including both good and bad parts. The training data for good parts is utilized to create a k-NN model core set. The method involves assigning initial weight values to filters and evaluating test data through a weighted k-NN module to determine an anomaly score. The process iteratively updates filter weights to maximize the separation between good and bad scores, effectively reducing missed detections and false anomalies.

2. **Threshold and model adaptation for the kNN-based anomaly detection method**: This patent outlines a method for anomaly detection from object images, similar to her first patent. It involves evaluating adaptation data for good and bad parts to determine an anomaly score. The initial threshold for the anomaly score is set low, and human inspection is employed to verify anomalies. If a false anomaly is identified, the k-NN model core set is updated, and the threshold is adjusted accordingly. This iterative process enhances the model's performance over time.

Career Highlights

Yujiao Cheng is currently employed at Fanuc Corporation, where she applies her innovative techniques to real-world challenges in automation and robotics. Her contributions have been instrumental in advancing the company's capabilities in anomaly detection.

Collaborations

Cheng collaborates with Tetsuaki Kato, leveraging their combined expertise to push the boundaries of technology in their field.

Conclusion

Yujiao Cheng's work in anomaly detection exemplifies the impact of innovative thinking in technology. Her patents reflect a commitment to improving industrial processes through advanced methodologies. Cheng continues to be a significant figure in her field, driving progress and innovation.