Jiacheng Cui

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift

Dataset Distillation via Committee Voting

Learning Robust Diffusion Models from Imprecise Supervision

BiGain: Unified Token Compression for Joint Generation and Classification

$M-Attack-V2$: Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting

A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1

FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation