Lizhen Cui

A Survey on Federated Recommendation Systems

Edge-LLM: A Collaborative Framework for Large Language Model Serving in Edge Computing

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

Are Graph Augmentations Necessary?

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion

Enhancing Sequential Recommendation with Graph Contrastive Learning

CCOM: Cost-Efficient and Collusion-Resistant Oracle Mechanism for Smart Contracts

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Self-Supervised Graph Co-Training for Session-based Recommendation

Graph Embedding for Recommendation against Attribute Inference Attacks

Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides

PepFormer: End-to-End Transformer-Based Siamese Network to Predict and Enhance Peptide Detectability Based on Sequence Only

Hyperbolic Hypergraphs for Sequential Recommendation

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection

Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework

A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data

Disease Prediction via Graph Neural Networks

Robust detection for network intrusion of industrial IoT based on multi-CNN fusion

Enhancing Collaborative Filtering with Generative Augmentation

Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network

A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds