Hongying Liu

Parameter-Free Variance Reduced Zeroth-Order Optimization for Non-Convex Problems

FedMuon: Accelerating Federated Learning with Matrix Orthogonalization

LAVA: A UNIFIED FRAMEWORK FOR FINETUNING LANGUAGE AND VISION MODELS

SADUNs: Sharpness-Aware Deep Unfolding Networks for Image Restoration

Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions

QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution

Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging

Finding Second-order Stationary Points for Generalized-Smooth Nonconvex Minimax Optimization via Gradient-based Algorithm

Provable Faster Zeroth-order Method for Bilevel Optimization with Optimal Dependency on Error and Dimension

Variance-Reduced Normalized Zeroth Order Method for Generalized-Smooth Non-Convex Optimization