Xiaofeng Ma

ProSAR: Prototype-Guided Semantic Augmentation and Refinement for Time Series Contrastive Learning

Learning to Think in Blocks: A Prior-Guided Reinforcement Learning Framework for RAG

LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation

FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates

FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates