32 citations · 35 across the 4 of their papers we have counts for
4 papers
Variational Model Inversion Attacks
Kuan-Chieh Wang, Yan Fu, Ke Li +3
Given the ubiquity of deep neural networks, it is important that these models do not reveal information about sensitive data that they have been trained on. In model inversion atta…
Identifying critical nodes in complex networks by graph representation learning
Enyu Yu, Duanbing Chen, Yan Fu +1
Because of its wide application, critical nodes identification has become an important research topic at the micro level of network science. Influence maximization is one of the ma…
Improving Streaming Transformer Based ASR Under a Framework of Self-supervised Learning
Songjun Cao, Yueteng Kang, Yanzhe Fu +4
Recently self-supervised learning has emerged as an effective approach to improve the performance of automatic speech recognition (ASR). Under such a framework, the neural network…
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation
Po Li, Lei Li, Yan Fu +2
In this paper, we introduce Cross-modal Alignment with mixture experts Neural Network (CameNN) recommendation model for intral-city retail industry, which aims to provide fresh foo…