Combining Autoencoder with Adaptive Differential Privacy for Federated Collaborative Filtering. - Xuanang Ding; Guohui Li 001; Ling Yuan; Lu Zhang 069; Qian Rong (DASFAA (1), 2023)

A Static Bi-dimensional Sample Selection for Federated Learning with Label Noise. - Qian Rong; Ling Yuan; Guohui Li 001; Jianjun Li; Lu Zhang 069; Xuanang Ding (DASFAA (1), 2023)

Efficient federated item similarity model for privacy-preserving recommendation. - Xuanang Ding; Guohui Li 001; Ling Yuan; Lu Zhang 069; Qian Rong (Inf. Process. Manag., 2023)

Noisy Label Learning Based on Weighted Neighborhood Consistency. - Qian Rong; Lu Zhang 069; Ling Yuan; Xuanang Ding; Guohui Li 001 (APWeb/WAIM (5), 2024)

EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering. - Lu Zhang 069; Qian Rong; Xuanang Ding; Guohui Li 001; Ling Yuan (CIKM, 2024)

HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation. - Lu Zhang 069; Ning Wu (CIKM, 2024)

Towards Resource-Efficient and Secure Federated Multimedia Recommendation. - Guohui Li 001; Xuanang Ding; Ling Yuan; Lu Zhang 069; Qian Rong (ICASSP, 2024)

HN3S: A Federated AutoEncoder framework for Collaborative Filtering via Hybrid Negative Sampling and Secret Sharing. - Lu Zhang 069; Guohui Li 001; Ling Yuan; Xuanang Ding; Qian Rong (Inf. Process. Manag., 2024)