Yancheng Yuan

MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering

Unified Parameter-Efficient Unlearning for LLMs

Uncertainty-aware Guided Diffusion for Missing Data in Sequential Recommendation

A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems

On the ergodic convergence properties of the Peaceman-Rachford method and their applications in solving linear programming