3 citations · 5 across the 6 of their papers we have counts for
6 papers
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing
Yi Yang, Zhong-Qiu Zhao, Quan Bai +2
Due to the noises in crowdsourced labels, label aggregation (LA) has emerged as a standard procedure to post-process crowdsourced labels. LA methods estimate true labels from crowd…
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Ruijun Li, Weihua Li, Yi Yang +3
Recently, diffusion models have been proven to perform remarkably well in text-to-image synthesis tasks in a number of studies, immediately presenting new study opportunities for i…
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
Shiqing Wu, Weihua Li, Hao Shen +1
In recent years, recommendation systems have been widely applied in many domains. These systems are impotent in affecting users to choose the behavior that the system expects. Mean…
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter
Jingli Shi, Weihua Li, Sira Yongchareon +2
Public concern detection provides potential guidance to the authorities for crisis management before or during a pandemic outbreak. Detecting people's concerns and attention from o…
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
Weihua Li, Yuxuan Hu, Shiqing Wu +2
A key step in influence maximization in online social networks is the identification of a small number of users, known as influencers, who are able to spread influence quickly and…
Privacy Information Classification: A Hybrid Approach
Jiaqi Wu, Weihua Li, Quan Bai +2
A large amount of information has been published to online social networks every day. Individual privacy-related information is also possibly disclosed unconsciously by the end-use…