Associate Professor, City University of Hong Kong
3 papers at NeurIPS 2025
We propose a general parameter-free self-boosting plug-in to improve the clustering performance of various deep clustering models.
We propose an effective long-tailed semi-supervised learning method with unknown unlabeled data distribution.
Efficient Data Utilization in OVMOT Training.