Hao Huang

Title: Hao Huang - Innovator in Machine Learning Technologies

Introduction

Hao Huang is a prominent inventor based in Kenmore, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of inferencing endpoint discovery in computing systems. With a total of 2 patents, his work is paving the way for advancements in distributed computing.

Latest Patents

Hao Huang's latest patents focus on techniques for machine learning inferencing endpoint discovery in distributed computing systems. One of the methods he has developed includes searching a database containing machine learning endpoint records. This database holds data representing values of execution latency or prediction accuracy corresponding to inferencing endpoints deployed in the system. The method generates a list of inferencing endpoints that match individual target values and determines whether the count of these endpoints exceeds a preset threshold. If the count does not exceed the threshold, the method instantiates additional inferencing endpoints based on the target values in the received query.

Career Highlights

Hao Huang is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work is instrumental in enhancing the efficiency and effectiveness of machine learning applications.

Collaborations

Hao has collaborated with notable colleagues such as Ashish Pinninti and Zhenghua Yang, contributing to a dynamic and innovative work environment.

Conclusion

Hao Huang's contributions to machine learning and computing systems are noteworthy. His patents reflect a commitment to advancing technology and improving the capabilities of distributed systems. His work will undoubtedly influence future developments in the field.