Lu Cheng

Title: Innovations in Cyberbullying Detection by Lu Cheng

Introduction

Lu Cheng is an innovative inventor based in Tempe, Arizona. He has made significant contributions to the field of cyberbullying detection through his research and development efforts. His work focuses on creating advanced systems that leverage technology to address social issues.

Latest Patents

Lu Cheng holds a patent for "Systems and methods for unsupervised cyberbullying detection via time-informed Gaussian mixture model." This patent describes a computer-implemented framework designed for cyberbullying detection. The system comprises two main components: a representation learning network that encodes social media sessions by utilizing multi-modal features, such as text, network, and time, and a multi-task learning network that fits comment inter-arrival times while estimating bullying likelihood based on a Gaussian Mixture Model. The system optimizes the parameters of both components to enhance performance, overcoming the limitations of decoupled training. It features an unsupervised cyberbullying detection model that outperforms existing unsupervised models and competes effectively with supervised models.

Career Highlights

Lu Cheng is affiliated with Arizona State University, where he continues to advance his research in cyberbullying detection. His work has garnered attention for its innovative approach and practical applications in social media monitoring and safety.

Collaborations

Lu Cheng has collaborated with notable colleagues, including Kai Shu and Siqi Wu, who contribute to his research endeavors. Their combined expertise enhances the development of effective solutions in the realm of cyberbullying detection.

Conclusion

Lu Cheng's contributions to the field of cyberbullying detection exemplify the impact of innovative research on societal challenges. His patented systems represent a significant advancement in technology aimed at improving online safety.