21 citations · 37 across the 6 of their papers we have counts for
6 papers
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Yiying Li, Wei Zhou, Huaimin Wang +2
Federated learning (FL) enables distributed participants to collectively learn a strong global model without sacrificing their individual data privacy. Mainstream FL approaches req…
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
Chunyuan Yuan, Qianwen Ma, Wei Zhou +2
The dissemination of fake news significantly affects personal reputation and public trust. Recently, fake news detection has attracted tremendous attention, and previous studies ma…
Empirical Fourier Decomposition: An Accurate Adaptive Signal Decomposition Method
Wei Zhou, Zhongren Feng, Y. F. Xu +2
Signal decomposition is an effective tool to assist the identification of modal information in time-domain signals. Two signal decomposition methods, including the empirical wavele…
Empirical Fourier Decomposition
Wei Zhou, Zhongren Feng, Xiongjiang Wang +1
In this paper, a novel decomposition method for non-stationary and nonlinear signals is proposed. This method is inspired by the adaptive wavelet filter bank of the empirical wavel…
Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
Zhenxin Fu, Feng Ji, Wenpeng Hu +4
Information-seeking conversation system aims at satisfying the information needs of users through conversations. Text matching between a user query and a pre-collected question is…
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
Qianwen Ma, Chunyuan Yuan, Wei Zhou +2
Automatically labeling multiple styles for every song is a comprehensive application in all kinds of music websites. Recently, some researches explore review-driven multi-label mus…