12 citations · 13 across the 4 of their papers we have counts for
4 papers
Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation
Li Wang, Shoujin Wang, Quangui Zhang +2
Cross-domain recommendation (CDR) aims to address the data-sparsity problem by transferring knowledge across domains. Existing CDR methods generally assume that the user-item inter…
Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II
Rixin Wu, Ran Wang, Jie Hao +3
This paper proposes a weight-aware deep reinforcement learning (WADRL) approach designed to address the multiobjective vehicle routing problem with time windows (MOVRPTW), aiming t…
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
Li Wang, Lei Sang, Quangui Zhang +2
Cross-domain recommendation (CDR) aims to enhance recommendation accuracy in a target domain with sparse data by leveraging rich information in a source domain, thereby addressing…
Efficient Pressure: Improving efficiency for signalized intersections
Qiang Wu, Liang Zhang, Jun Shen +3
Since conventional approaches could not adapt to dynamic traffic conditions, reinforcement learning (RL) has attracted more attention to help solve the traffic signal control (TSC)…