Qi Dai

Title: Innovations of Inventor Qi Dai

Introduction

Qi Dai is a prominent inventor based in Beijing, China. He has made significant contributions to the field of machine learning and data processing. With a total of 3 patents, his work focuses on enhancing the efficiency and effectiveness of machine learning techniques.

Latest Patents

One of Qi Dai's latest patents is titled "Scalable knowledge distillation techniques for machine learning." This patent describes a data processing system that implements a dynamic knowledge distillation process. It involves dividing training data into multiple batches and distilling a student model from a teacher model through an iterative process. The system trains both models using samples from the training data and evaluates the performance of the student model against the teacher model, providing feedback for improvement.

Another notable patent is the "Method and system of content retrieval for visual data." This invention outlines a system and method for retrieving visual assets based on search queries that include textual data. The process encodes the textual data into text embedding representations using a trained machine-learning model. It then compares these representations with visual embedding representations to identify relevant visual asset search results.

Career Highlights

Qi Dai is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work at Microsoft has allowed him to collaborate with other talented individuals in the field.

Collaborations

Some of his notable coworkers include Ji Li and Han Hu. Their collaborative efforts contribute to the advancement of technology and innovation within their projects.

Conclusion

Qi Dai's contributions to machine learning and data processing through his patents demonstrate his expertise and commitment to innovation. His work continues to influence the field and pave the way for future advancements.