collaborators

7 papers

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.SE2026

GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair

Yinhao Xiao, Rongbo Xiao, Yihan Zhang

Reliable spatial analysis in GIScience requires preserving coordinate semantics, topology, units, and geographic plausibility. Current LLM-based GIS systems generate fluent scripts…

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.CR2026

EvoPatch-IoT: Evolution-Aware Cross-Architecture Vulnerability Retrieval and Patch-State Profiling for BusyBox-Based IoT Firmware

Yinhao Xiao, Huixi Li, Yongluo Shen

BusyBox is one of the most widely reused userland components in Linux-based Internet-of-Things (IoT) firmware, yet its security assessment remains difficult because firmware images…

cs.AR2026

HWE-Bench: Can Language Models Perform Board-level Schematic Designs?

Weibo Qiu, Yinhao Xiao, Runyu Pan

Large Language Models (LLMs) have demonstrated significant potential in various engineering tasks, including software development, digital logic generation, and companion document…