Fan Wu

Synthesizing high-quality tabular data is essential for privacy-preserving data analysis. However, this task remains challenging due to two key factors: (1) distribution complexity : imbalanced and skewed data make it challenging to learn the data distribution accurately; and (2) semantic coheren...

Weakly Supervised Object Detection (WSOD) is fundamentally limited by instance ambiguity, manifesting as either part domination (focusing on discriminative fragments) or merged detection (confusing objects with context). Unlike existing approaches that rely on object-level patterns, we draw inspi...