Ruofei Zhang

Title: The Innovative Mind of Ruofei Zhang

Introduction

Ruofei Zhang is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the field of technology, particularly in machine learning and multimedia retrieval. With a total of 10 patents to his name, Zhang's work showcases his innovative approach to solving complex problems.

Latest Patents

One of Zhang's latest patents is titled "Look ahead strategy for trie-based beam search in generative retrieval." This patent describes systems and methods for generating a keyword sequence from an input query. The process involves receiving a first text sequence corresponding to an input query and encoding it into a source sequence representation using a machine learning model's encoder. A keyword sentence is then generated from this representation using a decoder, which selects prediction tokens based on modified generation scores.

Another notable patent is the "System and method for multimedia ranking and multi-modal image retrieval using probabilistic semantic models and expectation-maximization (EM) learning." This invention provides systems and methods for multi-modal image retrieval, achieving automatic image annotation through a probabilistic semantic model. The model connects visual features and textual words via a hidden layer, allowing for the discovery of semantic concepts and enhancing the synergy between the two modalities.

Career Highlights

Ruofei Zhang has worked with notable companies such as Yahoo! Inc. and the State University of New York. His experience in these organizations has contributed to his expertise in the field of technology and innovation.

Collaborations

Zhang has collaborated with several professionals in his field, including Zhongfei Zhang and Ramesh R Sarukkai. These collaborations have likely enriched his work and expanded his innovative capabilities.

Conclusion

Ruofei Zhang is a distinguished inventor whose contributions to technology and machine learning are noteworthy. His patents reflect a deep understanding of complex systems and a commitment to innovation. Through his work, Zhang continues to influence the landscape of technology and inspire future advancements.