Zibin Zheng

Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs?

FedRKMGC: Towards High-Performance Gradient Correction-based Federated Learning via Relaxation and Fast KM Iteration

FedPAC: Consistent Representation Learning for Federated Unsupervised Learning under Data Heterogeneity

Self-Assembling Graph Perceptrons

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective

FedLASE: Performance-Balanced System-Heterogeneous FL via Layer-Adaptive Submodel Extraction

Measuring Diversity in Synthetic Datasets

SGHormerVQ: Bridging Graph Transformers and Spiking Neural Networks via Spiking Vector Quantization

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective

Evaluating Diversity of LLM-generated Datasets: A Classification Perspective

Model Entanglement for solving Privacy Preserving in Federated Learning

Parrot: Seamless Spoken Dialogue Interaction with Double-Channel Large Language Models