Xiang Gao

Title: Innovations of Inventor Xiang Gao

Introduction

Xiang Gao is a notable inventor based in Singapore, SG. He has made significant contributions to the field of technology, particularly in program transformations and deep neural networks. With a total of 2 patents, his work showcases innovative approaches to enhancing software development and machine learning.

Latest Patents

One of Xiang Gao's latest patents is titled "Feedback-driven semi-supervised synthesis of program transformations." This invention introduces a synthesis procedure that learns program transformations for a text document in real-time during an edit session. It utilizes examples of concrete edits made during the session, along with an unsupervised set of additional inputs derived from user feedback and behavior. A reward score based on anti-unification and provenance analysis classifies these inputs, allowing for the generation of code edit suggestions that align with existing examples.

Another significant patent is "Data augmentation in training deep neural network (DNN) based on genetic model." This invention involves selecting a seed data point from a training dataset and generating a population of data points through a genetic model. The process includes determining the best-fit data point based on a fitness function, which is then used to train the DNN. This innovative approach enhances the training process and improves the performance of deep neural networks.

Career Highlights

Xiang Gao has worked with prominent companies such as Microsoft Technology Licensing, LLC and Fujitsu Corporation. His experience in these organizations has contributed to his expertise in technology and innovation.

Collaborations

Xiang has collaborated with talented individuals in his field, including Shraddha Govind Barke and Sumit Gulwani. These collaborations have likely enriched his work and led to further advancements in his projects.

Conclusion

Xiang Gao's contributions to technology through his patents and collaborations highlight his innovative spirit and dedication to advancing the field. His work continues to influence software development and machine learning, making him a significant figure in the realm of invention.