Gongfan Fang

Invisible Safety Threat: Malicious Finetuning for LLM via Steganography

dParallel: Learnable Parallel Decoding for dLLMs

SparseD: Sparse Attention for Diffusion Language Models

PixelThink: Towards Efficient Chain-of-Pixel Reasoning

ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation

Gradient Inversion Attacks Beyond SGD

Diversity-Guided MLP Pruning for Efficient Large Vision Transformers

MixReasoning: Switching Modes to Think

Disentangling Token Dependencies for Efficient Decoding in Diffusion Language Models

Thinkless: LLM Learns When to Think

VeriThinker: Learning to Verify Makes Reasoning Model Efficient

dKV-Cache: The Cache for Diffusion Language Models

PruningBench: A Comprehensive Benchmark of Structural Pruning