Xiaolin Zheng

8

Papers

0

Total Citations

Papers (8)

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data