Xiaochen Wang

Title: Innovations of Inventor Xiaochen Wang

Introduction

Xiaochen Wang is an accomplished inventor based in State College, PA (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on improving the accuracy of training models by addressing the issue of false negatives.

Latest Patents

Xiaochen Wang holds a patent titled "False negative prediction for training a machine-learning model." This online system updates the labels on negative examples to account for the possibility that the example is a false negative. The system generates a set of initial training examples that each include a query input by the user and item data for an item presented as a result to the user's query. Each training example also includes an initial label, which represents whether the user interacted with the item presented as a search result. The online system updates the initial label for a negative training example by identifying a set of bridge queries and computing a similarity score between the query for the training example and the bridge queries. The online system computes an updated label for the negative example based on the similarity scores and updates the training example with the updated label. Xiaochen Wang has 1 patent to his name.

Career Highlights

Xiaochen Wang is currently employed at Maplebear Inc., where he continues to develop innovative solutions in the tech industry. His work has garnered attention for its potential to enhance machine learning applications.

Collaborations

Some of his notable coworkers include Taesik Na and Xiao Xiao, who contribute to the collaborative environment at Maplebear Inc.

Conclusion

Xiaochen Wang's innovative approach to machine learning and his patent on false negative prediction demonstrate his commitment to advancing technology. His contributions are paving the way for more accurate and efficient machine learning models.