Yong Luo

10

Papers

96

Total Citations

Papers (10)

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models

Decomposing Semantic Shifts for Composed Image Retrieval

MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading

AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation

Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names

Cycle Self-Refinement for Multi-Source Domain Adaptation

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

Federated Learning with Manifold Regularization and Normalized Update Reaggregation