Qin Zhang

G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation

Learn to Merge: Meta-Learning for Adaptive Multi-Task Model Merging

OG-SNR : Open set graph learning with structural noise robustness

Towards Robust Multimodal Learning via Adaptive Model Assembly

MotifGrIm: Motif-Based Multi-Granularity Graph-Image Pretraining for Molecular Representation Learning

CAPL: Graph Few-Shot Class-Incremental Learning Via Class-Adaptive Prototype Learning

Graph Autoencoder-based Motif Extraction Algorithm for Molecular Representation Learning

Enhancing Tool Calling in LLMs with the International Tool Calling Dataset

Test-Time Graph Rebirth: Serving GNN Generalization Under Distribution Shifts

Assessing Vulnerabilities of Large Language Models to Social Bias Attacks