Ying Lyu

Title: Innovations by Inventor Ying Lyu

Introduction

Ying Lyu is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of machine learning and verbal harassment detection systems. With a total of 3 patents, Lyu's work focuses on enhancing the capabilities of technology to address social issues.

Latest Patents

One of Lyu's latest patents is the "Training mechanism of verbal harassment detection systems." This invention describes a method for automatically generating lower quality, large scale training data through automatic labeling. The generated data can be utilized to pre-train a machine learning model aimed at detecting verbal harassment. The parameters of this pre-trained model can be refined using higher-quality training data, allowing for improved accuracy in detection.

Another notable patent is the "Real-time verbal harassment detection system." This system employs machine learning models to detect verbal harassment in real-time. It captures audio segments through a microphone located within a vehicle and converts these segments into text. The system then uses a prediction model to assess the likelihood of harassment and an emotion detector to analyze the emotional state of the speaker. Based on these analyses, the system can autonomously determine if harassment is occurring.

Career Highlights

Ying Lyu is currently associated with Beijing Didi Infinity Technology and Development Co., Ltd. His work at this company emphasizes the integration of advanced technology in addressing real-world problems. Lyu's innovative approach has positioned him as a key figure in the development of effective verbal harassment detection systems.

Collaborations

Lyu collaborates with Kun Han, contributing to the advancement of their shared goals in technology and innovation.

Conclusion

Ying Lyu's contributions to machine learning and verbal harassment detection systems highlight his commitment to leveraging technology for social good. His innovative patents reflect a deep understanding of both technical and societal challenges.