Zekun Hao

Title: Zekun Hao: Innovator in Neural Network Technologies

Introduction

Zekun Hao is a prominent inventor based in New York, NY (US), known for his contributions to the field of neural networks and image processing. With a total of two patents to his name, he has made significant strides in generating images of virtual environments and refining image acquisition data.

Latest Patents

One of Zekun Hao's latest patents is focused on generating images of virtual environments using one or more neural networks. This patent presents apparatuses, systems, and techniques that utilize neural networks to generate images based on semantic features projected from a three-dimensional environment. Another notable patent involves refining image acquisition data through domain adaptation. This technology introduces a cross-domain training framework that iteratively trains a domain adaptive refinement agent to enhance low-quality real-world image acquisition data, such as depth maps, by leveraging corresponding conditional data from other modalities.

Career Highlights

Throughout his career, Zekun Hao has worked with leading companies in the tech industry, including Adobe, Inc. and Nvidia Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in image processing and neural networks.

Collaborations

Zekun has collaborated with notable individuals in his field, including Oliver Wang and Jianming Zhang. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Zekun Hao's work in neural networks and image processing showcases his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex systems and a commitment to improving image acquisition techniques.