34 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.IR2021★ 3 cited
Learning to Learn a Cold-start Sequential Recommender
Xiaowen Huang, Jitao Sang, Jian Yu +1
The cold-start recommendation is an urgent problem in contemporary online applications. It aims to provide users whose behaviors are literally sparse with as accurate recommendatio…
cs.IR2021★ 1 cited
Knowledge Graph-enhanced Sampling for Conversational Recommender System
Mengyuan Zhao, Xiaowen Huang, Lixi Zhu +2
The traditional recommendation systems mainly use offline user data to train offline models, and then recommend items for online users, thus suffering from the unreliable estimatio…
cs.CR2020★ 34 cited
Adversarial Privacy-preserving Filter
Jiaming Zhang, Jitao Sang, Xian Zhao +3
While widely adopted in practical applications, face recognition has been critically discussed regarding the malicious use of face images and the potential privacy problems, e.g.,…