Yingjie Lao

DyGB: Dynamic Gradient Boosting Decision Trees with In-Place Updates for Efficient Data Addition and Deletion

UnRe: Zero-Shot LLM Unlearning via Dynamic Contextual Retrieval

DMin: Scalable Training Data Influence Estimation for Diffusion Models

TGRS: Teacher-Guided Rank-Sensitive Quantization for Large Language Models

BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation

Online Gradient Boosting Decision Tree: In-Place Updates for Adding/Deleting Data

Sparse Watermarking in LLMs with Enhanced Text Quality