Ph.D. student Ziqi Zhang has built a career blending machine learning with single-cell biology. His work helps scientists ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...

Abstract: Class-incremental fault diagnosis requires a model to adapt to new fault classes while retaining previous knowledge. However, limited research exists for imbalanced and long-tailed data.

On Tuesday morning, the University released its preliminary admissions data for the undergraduate class of 2029. With a total of 1,866 first-year and 90 transfer students enrolling, this class marks ...