Zhenbang Chen

Title: Zhenbang Chen: Innovator in Machine-Learned Neural Networks

Introduction

Zhenbang Chen is a prominent inventor based in Jersey City, NJ (US). He has made significant contributions to the field of machine learning, particularly in the development of neural network architectures for lift predictions. With a total of 2 patents, Chen's work is paving the way for more efficient and flexible modeling of user and item interactions in online systems.

Latest Patents

Chen's latest patents include "Machine-learned neural network architectures for incremental lift predictions using embeddings" and "Machine-learned neural network architectures for incremental lift predictions." Both patents focus on training machine-learned lift prediction models configured as neural networks. These models are designed to determine lift predictions for users and items associated with online systems. By utilizing neural networks, the models can capture and process information from users and items in various formats, allowing for a more flexible approach compared to existing methods. The lift prediction models consist of two portions: one for generating control predictions and another for generating treatment predictions. Notably, these portions share a subset of parameters, which helps in capturing essential information for both types of predictions, even when the training data for the control group is significantly smaller than that of the treatment group.

Career Highlights

Zhenbang Chen is currently employed at Maplebear Inc., where he continues to innovate in the field of machine learning. His work has garnered attention for its practical applications in online systems, enhancing the way businesses can predict user interactions and item performance.

Collaborations

Chen collaborates with talented coworkers, including Jingying Zhou and Peng Qi, who contribute to the innovative environment at Maplebear Inc. Their combined expertise fosters a culture of creativity and advancement in machine learning technologies.

Conclusion

Zhenbang Chen's contributions to machine learning and neural network architectures are noteworthy. His patents reflect a commitment to improving lift prediction models, which can significantly impact online systems. Through his work at Maplebear Inc., Chen continues to push the boundaries of innovation in this exciting field.