activity
20192021
most citedEmpirical Fourier Decomposition

9 citations · 13 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2021

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…

cs.CL20204 cited

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…

eess.SP20199 cited

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…

cs.CL2019

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…

cs.CL2019

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…