activity
20192021
most citedSTFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

71 citations · 76 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2021

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction

Ruijie Wang, Zijie Huang, Shengzhong Liu +7

This paper describes a novel diffusion model, DyDiff-VAE, for information diffusion prediction on social media. Given the initial content and a sequence of forwarding users, DyDiff…

cs.LG20201 cited

Scheduling Real-time Deep Learning Services as Imprecise Computations

Shuochao Yao, Yifan Hao, Yiran Zhao +6

The paper presents an efficient real-time scheduling algorithm for intelligent real-time edge services, defined as those that perform machine intelligence tasks, such as voice reco…

cs.CY20204 cited

The Paradox of Information Access: Growing Isolation in the Age of Sharing

Tarek Abdelzaher, Heng Ji, Jinyang Li +5

Modern online media, such as Twitter, Instagram, and YouTube, enable anyone to become an information producer and to offer online content for potentially global consumption. By inc…

cs.SI2020

The Paradox of Information Access: On Modeling Social-Media-Induced Polarization

Chao Xu, Jinyang Li, Tarek Abdelzaher +3

The paper develops a stochastic model of drift in human beliefs that shows that today's sheer volume of accessible information, combined with consumers' confirmation bias and natur…

cs.LG201971 cited

STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

Shuochao Yao, Ailing Piao, Wenjun Jiang +10

Recent advances in deep learning motivate the use of deep neural networks in Internet-of-Things (IoT) applications. These networks are modelled after signal processing in the human…