Siqi Wu

Title: Siqi Wu: Innovator in Cyberbullying Detection

Introduction

Siqi Wu is a prominent inventor based in Canberra, Australia. She has made significant contributions to the field of cyberbullying detection through her innovative research and development.

Latest Patents

Siqi Wu holds a patent for "Systems and methods for unsupervised cyberbullying detection via time-informed Gaussian mixture model." This patent describes a computer-implemented framework for detecting cyberbullying. 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 jointly, addressing 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

Siqi Wu is affiliated with Arizona State University, where she continues her research and development in the field of cyberbullying detection. Her work has garnered attention for its innovative approach and practical applications.

Collaborations

Siqi Wu has collaborated with notable colleagues, including Lu Cheng and Kai Shu, to advance her research initiatives.

Conclusion

Siqi Wu is a trailblazer in the realm of cyberbullying detection, with her innovative patent showcasing her commitment to addressing this critical issue. Her contributions are paving the way for more effective solutions in the field.