collaborators

5 papers

cs.CR2026

CircuitBreak: Pruning a Sparse Safety Circuit of Neurons

Jincheng Ying, Li Wenlin, Wencheng Yang +1

White-box neuron pruning has shown that refusal in large language models (LLMs) can depend on a small, removable set of feed-forward (FFN) channels. Existing attacks either need ca…

stat.ML2026

Schrödinger--Föllmer Actor--Critic: Diffusion Policy Improvement with Finite-Sample Analysis

Yuling Jiao, Lican Kang, Jerry Zhijian Yang +1

Diffusion policies represent multimodal action distributions, but an advantage-weighted update does not specify how to sample from the resulting target distribution. We propose Sch…

cs.CR2026

Mask2Shield: Strengthening LLM Safety against Neuron-Pruning Attacks

Ying JinCheng, Minghui Xu, Yinhao Xiao +2

Large language models (LLMs) are safety-aligned before deployment to reduce harmful content generation. Yet neuron-level pruning attacks show that refusal can depend on a small set…

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…