Li Wang

According to our database, Li Wang authored at least 9 papers between 2019 and 2026.

Collaborative distances:

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

2026

MEGG: replay via maximally extreme GGscore in incremental learning for neural recommendation models.

Yunxiao Shi, Shuo Yang, Haimin Zhang, Li Wang, Yongze Wang, Qiang Wu, Min Xu

Data Min. Knowl. Discov., April, 2026

A Multi-Modal Prompt-Tuning Framework for Non-Overlapping Multi-Domain Recommendation.

Li Wang, Shoujin Wang, Qiang Wu, Min Xu

IEEE Trans. Multim., 2026

FedPCL-CDR: A federated prototype-based contrastive learning framework for privacy-preserving cross-domain recommendation.

Li Wang, Qiang Wu, Min Xu

Neural Networks, 2026

2025

Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation.

Li Wang, Shoujin Wang, Quangui Zhang, Qiang Wu, Min Xu

IEEE Trans. Multim., 2025

Causal disentanglement for regulating social influence bias in social recommendation.

Li Wang, Min Xu, Quangui Zhang, Yunxiao Shi, Qiang Wu

Neurocomputing, 2025

2024

A privacy-preserving framework with multi-modal data for cross-domain recommendation.

Li Wang, Lei Sang, Quangui Zhang, Qiang Wu, Min Xu

Knowl. Based Syst., 2024

Federated Prototype-based Contrastive Learning for Privacy-Preserving Cross-domain Recommendation.

Li Wang, Quangui Zhang, Lei Sang, Qiang Wu, Min Xu

CoRR, 2024

2022

Learning coupled latent features via review texts for IOT service recommendation.

Quangui Zhang, Li Wang, Keda Xu, Wenpeng Lu, Xinqiang Ma, Yi Huang

Comput. Electr. Eng., 2022

2019

A Generic Framework for Learning Explicit and Implicit User-Item Couplings in Recommendation.

Quangui Zhang, Li Wang, Xiangfu Meng, Keda Xu, Jiayan Hu

IEEE Access, 2019