10 citations · 11 across the 4 of their papers we have counts for
4 papers
Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction
Yucheng Wu, Yuekui Yang, Hongzheng Li +6
Deploying new architectures in large-scale user response prediction systems incurs high model switching costs due to expensive retraining on massive historical data and performance…
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
Yucheng Wu, Yuncong Yang, Xiao Han +2
Publishing graph data is widely desired to enable a variety of structural analyses and downstream tasks. However, it also potentially poses severe privacy leakage, as attackers may…
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
Yucheng Wu, Liyue Chen, Yu Cheng +3
Learning representations of user behavior sequences is crucial for various online services, such as online fraudulent transaction detection mechanisms. Graph Neural Networks (GNNs)…
Graph Contrastive Learning with Cohesive Subgraph Awareness
Yucheng Wu, Leye Wang, Xiao Han +1
Graph contrastive learning (GCL) has emerged as a state-of-the-art strategy for learning representations of diverse graphs including social and biomedical networks. GCL widely uses…