Associate Professor, Southeast University
3 papers at NeurIPS 2025
We accelerates attention flow computation by pruning attention graphs, achieving high efficiency while preserving interpretability.
We propose KRIS-Bench, a benchmark designed to evaluate knowledge-based reasoning in instruction-based image editing models.
We present the first framework to tackle the Sub-Cluster Problem in incomplete GMvSSL via adversarial graph fusion and tensor-based structure recovery.