Zilong Zheng

Title: Zilong Zheng: Innovator in Energy-Based Models

Introduction

Zilong Zheng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of energy-based models, particularly in the context of image processing and machine learning. His innovative approach has garnered attention in the research community.

Latest Patents

Zilong Zheng holds a patent titled "Training energy-based models from a single image for internal learning and inference using trained models." This patent presents a novel method that differs from prior works by explicitly representing the statistical distribution within a single image using an energy-based generative framework. The approach utilizes a pyramid of energy functions, each parameterized by a bottom-up deep neural network, to capture the distributions of patches at various resolutions. Additionally, the patent outlines a coarse-to-fine sequential training and sampling strategy that enhances model training efficiency. Notably, the method allows for parallel learning with a self-supervised task, improving the descriptive power of the learned model without requiring an auxiliary model for training.

Career Highlights

Zilong Zheng is currently associated with Baidu USA LLC, where he continues to push the boundaries of innovation in his field. His work has been instrumental in advancing the understanding and application of energy-based models in machine learning.

Collaborations

Zilong has collaborated with notable colleagues, including Jianwen Xie and Ping Li, contributing to various research initiatives and projects.

Conclusion

Zilong Zheng's contributions to the field of energy-based models exemplify the innovative spirit of modern inventors. His work not only enhances the understanding of image processing but also paves the way for future advancements in machine learning.