activity
20182022
most citedA Deep Framework for Cross-Domain and Cross-System Recommendations

11 citations · 19 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap

Beihang Song, Jing Li, Shan Xue +4

Oriented object detection is a crucial task in computer vision. Current top-down oriented detection methods usually directly detect entire objects, and not only neglecting the auth…

cs.DB20208 cited

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications

Chaochao Chen, Jamie Cui, Guanfeng Liu +2

Knowledge Graph (KG) has attracted more and more companies' attention for its ability to connect different types of data in meaningful ways and support rich data services. However,…

cs.LG202011 cited

A Deep Framework for Cross-Domain and Cross-System Recommendations

Feng Zhu, Yan Wang, Chaochao Chen +3

Cross-Domain Recommendation (CDR) and Cross-System Recommendations (CSR) are two of the promising solutions to address the long-standing data sparsity problem in recommender system…

cs.SI2020

Opinion Maximization in Social Trust Networks

Pinghua Xu, Wenbin Hu, Jia Wu +1

Social media sites are now becoming very important platforms for product promotion or marketing campaigns. Therefore, there is broad interest in determining ways to guide a site to…

cs.LG2019

Deep Active Learning for Anchor User Prediction

Anfeng Cheng, Chuan Zhou, Hong Yang +4

Predicting pairs of anchor users plays an important role in the cross-network analysis. Due to the expensive costs of labeling anchor users for training prediction models, we consi…

cs.LG2018

TLR: Transfer Latent Representation for Unsupervised Domain Adaptation

Pan Xiao, Bo Du, Jia Wu +3

Domain adaptation refers to the process of learning prediction models in a target domain by making use of data from a source domain. Many classic methods solve the domain adaptatio…