3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Bridging Diffusion Pruning and Step Distillation with Teacher-Aligned Repair
Jincheng Ying, Li Wenlin, Minghui Xu +1
Diffusion models generate high-quality images, but their inference cost comes from two sources: large denoising networks and repeated denoising steps. Existing compression pipeline…
cs.CV2026
Efficient Diffusion Distillation via Embedding Loss
Jincheng Ying, Yitao Chen, Li Wenlin +2
Recent advances in distilling expensive diffusion models into efficient few-step generators show significant promise. However, these methods typically demand substantial computatio…
cs.CR2023★ 3 cited
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models
Xinwei Wu, Junzhuo Li, Minghui Xu +4
Large language models pretrained on a huge amount of data capture rich knowledge and information in the training data. The ability of data memorization and regurgitation in pretrai…