Cong Shen

Addressing reliability, generalizability, and confidentiality in Graph ML.

A study on improving federated learning models for devices with limited resources.

FastGAS improves efficiency in selecting examples for in-context learning using a graph-based approach.

Chern-Simons theories provide insights into particle interactions and mass generation mechanisms.

This paper examines the effectiveness of current machine unlearning verification methods.

A new method enhances symbol detection in noisy wireless environments.