Lu Zhang

According to our database, Lu Zhang authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

HN3S: A Federated AutoEncoder framework for Collaborative Filtering via Hybrid Negative Sampling and Secret Sharing.

Lu Zhang, Guohui Li, Ling Yuan, Xuanang Ding, Qian Rong

Inf. Process. Manag., March, 2024

Towards Resource-Efficient and Secure Federated Multimedia Recommendation.

Guohui Li, Xuanang Ding, Ling Yuan, Lu Zhang, Qian Rong

Proceedings of the IEEE International Conference on Acoustics, 2024

HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation.

Lu Zhang, Ning Wu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering.

Lu Zhang, Qian Rong, Xuanang Ding, Guohui Li, Ling Yuan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Noisy Label Learning Based on Weighted Neighborhood Consistency.

Qian Rong, Lu Zhang, Ling Yuan, Xuanang Ding, Guohui Li

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Efficient federated item similarity model for privacy-preserving recommendation.

Xuanang Ding, Guohui Li, Ling Yuan, Lu Zhang, Qian Rong

Inf. Process. Manag., September, 2023

A Static Bi-dimensional Sample Selection for Federated Learning with Label Noise.

Qian Rong, Ling Yuan, Guohui Li, Jianjun Li, Lu Zhang, Xuanang Ding

Proceedings of the Database Systems for Advanced Applications, 2023

Combining Autoencoder with Adaptive Differential Privacy for Federated Collaborative Filtering.

Xuanang Ding, Guohui Li, Ling Yuan, Lu Zhang, Qian Rong

Proceedings of the Database Systems for Advanced Applications, 2023