Yeyun Gong

Title: Yeyun Gong: Innovator in Machine Learning and Neural Networks

Introduction

Yeyun Gong is a prominent inventor based in Beijing, China, known for his contributions to the fields of machine learning and neural networks. With a total of four patents to his name, Gong has made significant strides in generative retrieval and transformer-based neural networks. His work is instrumental in advancing technology and improving data processing methodologies.

Latest Patents

Gong's latest patents include innovative systems and methods for generating keyword sequences from input queries. One notable patent describes a "Look ahead strategy for trie-based beam search in generative retrieval." This invention involves receiving a first text sequence corresponding to an input query, encoding it into a source sequence representation using a machine learning model's encoder, and generating a keyword sentence through the model's decoder. The decoder enhances the generation process by modifying generation scores based on prediction tokens.

Another significant patent is focused on a "Transformer-based neural network including a mask attention network." This invention features a mask attention network (MAN) that computes an original attention data structure to express influence between data items in a sequence. The MAN modifies this structure using mask values to produce a more accurate representation of the influence of neighboring data items, thereby improving the overall performance of the neural network.

Career Highlights

Yeyun Gong is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies. His work at Microsoft has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to machine learning.

Collaborations

Gong has worked alongside notable colleagues such as Jian Jiao and Nan Duan, contributing to various projects that push the boundaries of technology and innovation.

Conclusion

Yeyun Gong's innovative patents and contributions to machine learning and neural networks highlight his role as a leading inventor in the technology sector. His work not only advances the field but also sets the stage for future developments in data processing and retrieval systems.