1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
Yongqiang Han, Likang Wu, Hao Wang +5
Sequential Recommendation is a widely studied paradigm for learning users' dynamic interests from historical interactions for predicting the next potential item. Although lots of r…
cs.SI2022
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction
Likang Wu, Hao Wang, Enhong Chen +3
Network-aware cascade size prediction aims to predict the final reposted number of user-generated information via modeling the propagation process in social networks. Estimating th…
cs.CR2022★ 1 cited
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning
Hao Wang, Zhi Li, Chunpeng Ge +1
Cooperative learning, that enables two or more data owners to jointly train a model, has been widely adopted to solve the problem of insufficient training data in machine learning.…