Jianfeng Yang

Title: Innovations of Jianfeng Yang

Introduction

Jianfeng Yang is a prominent inventor based in San Jose, CA, known for his contributions to the field of machine learning and media technology. With a total of 8 patents, Yang has made significant strides in optimizing media experiences through innovative methods.

Latest Patents

One of Yang's latest patents is focused on time marking chapters in media items using machine learning. This patent outlines methods and systems that provide an indication of an identified media item as input to a machine-learning model. The outputs from this model include time marks that identify content segments of the media item, each associated with a segment start indicator for the timeline. The resulting duration of these segments is determined, and if it is less than the media item's total duration, further inputs are provided to the model. Another notable patent is the midroll breaks feedback system, which optimizes the placement of breaks in media items. This method involves identifying breaks associated with specific time points during playback and dynamically adjusting their placement based on the media's performance.

Career Highlights

Jianfeng Yang is currently employed at Google Inc., where he continues to develop innovative solutions that enhance user experiences in media consumption. His work at Google has positioned him as a key player in the intersection of technology and media.

Collaborations

Yang has collaborated with notable colleagues, including Ramesh Rangarajan Sarukkai and Yun Shi, contributing to a dynamic team focused on advancing media technology.

Conclusion

Jianfeng Yang's innovative work in machine learning and media technology has led to significant advancements in how media items are experienced. His contributions continue to shape the future of media consumption and optimization.