Fuzhen Zhuang

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation

Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation

Route Before Retrieve: Activating Latent Routing Abilities of LLMs for RAG vs. Long Context Selection

LLMBoost: Make Large Language Models Stronger with Boosting

BoMM: Multi-Modality Large-Small Model Bidirectional Collaboration

sNet: Not All Edges Matter Equally in Temporal Link Prediction

Towards Scalable Distance-Enhanced Graph Neural Network

Reinforcement Reward Model with Policy Feedback

E5-V: Universal Embeddings with Multimodal Large Language Models

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning