Tiantian Fang

Title: Tiantian Fang and a Patent for Policy Enforcement.

Introduction

Tiantian Fang is an inventor associated with Santa Clara, California, and Google Inc. Her patent work addresses policy enforcement for digital components, including methods for identifying potential policy violations and applying labels to related content.

Latest Patents

Fang is credited with 1 patent: “System and Method for Policy Enforcement.” The invention describes filtering candidate digital components so that a machine-learning model can review a selected subset. The model predicts whether a component violates a policy and may provide a confidence score for that prediction. The system can associate a corresponding label with the component and use the confidence score to decide whether to propagate labels to other digital components. The described approaches include seed-based enforcement and neighborhood-based propagation.

Career Highlights

The available information identifies Fang’s patent activity in connection with Google Inc. Her patent focuses on combining machine-learning review, confidence scoring, and label propagation to support policy enforcement across digital content.

Collaborations

Fang’s listed coworkers include Tushar Dogra and Wei Qiao. The available details do not specify their roles in the patent or the nature of their collaboration.

Conclusion

Tiantian Fang’s patent presents a machine-learning-based approach to evaluating digital components and propagating policy labels, reflecting her documented innovation work associated with Google Inc.