Xiaoxing Wang

Title: The Innovative Mind of Xiaoxing Wang

Introduction

Xiaoxing Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural architecture search, particularly through his innovative patent. His work is characterized by a focus on efficiency and effectiveness in machine learning processes.

Latest Patents

Wang holds a patent for a method known as MergeNAS, which involves merging different types of convolutions into a single operation. This one-shot neural architecture search method significantly reduces the search cost to roughly half a GPU-day. Additionally, it alleviates the overfitting problem commonly associated with traditional differentiable architecture search approaches, such as DARTS, by minimizing the number of redundant parameters. He has 1 patent to his name.

Career Highlights

Xiaoxing Wang is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to collaborate with other talented professionals in the field of artificial intelligence and machine learning.

Collaborations

Wang has worked alongside notable colleagues, including Chao Xue and Yonggang Hu. Their combined expertise contributes to the advancement of innovative technologies within their organization.

Conclusion

Xiaoxing Wang's contributions to neural architecture search exemplify the spirit of innovation in technology. His work not only enhances efficiency but also addresses critical challenges in the field.