San Diego, CA, United States of America

Wei Ding

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Wei Ding - Innovator in Multi-Instance Learning

Introduction

Wei Ding is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of machine learning, particularly in the area of multi-instance learning (MIL). His innovative approach has led to the development of a unique method for classifying streaming inputs.

Latest Patents

Wei Ding holds a patent for "Systems and methods for multi-instance learning-based classification for streaming inputs." This patent describes a method that includes running a first biased MIL model using extracted features from a subset of instances received in the streaming input to obtain a first classification result. The method also involves running a second biased MIL model using the same extracted features to obtain a second classification result. Notably, the first biased MIL model is designed to be biased opposite to the second biased MIL model. The classification of the streaming input is then based on the results from both models.

Career Highlights

Wei Ding is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in telecommunications and semiconductor technology. His work at Qualcomm has allowed him to apply his expertise in machine learning to real-world applications, enhancing the capabilities of streaming data processing.

Collaborations

Wei Ding collaborates with talented colleagues, including Dineel Diwakar Sule and Subrato Kumar De. Their combined efforts contribute to the innovative projects at Qualcomm, pushing the boundaries of technology in the field of machine learning.

Conclusion

Wei Ding's contributions to multi-instance learning and his innovative patent demonstrate his commitment to advancing technology. His work at Qualcomm and collaborations with fellow inventors highlight the importance of teamwork in driving innovation forward.

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