activity
20172023
most citedSTFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

71 citations · 266 across the 18 of their papers we have counts for

collaborators

18 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.SI20211 cited

Dynamics of Public Opinion Evolution with Asymmetric Cognitive Bias

Yanbing Mao, Naira Hovakimyan, Tarek Abdelzaher

In this paper, we propose a pubic opinion model with incorporation of asymmetric cognitive bias: confirmation bias and negativity bias. We then investigate the generic modeling gui…

cs.LG20212 cited

Controllable and Diverse Text Generation in E-commerce

Huajie Shao, Jun Wang, Haohong Lin +4

In E-commerce, a key challenge in text generation is to find a good trade-off between word diversity and accuracy (relevance) in order to make generated text appear more natural an…

cs.SI2020

Social System Inference from Noisy Observations

Yanbing Mao, Naira Hovakimyan, Tarek Abdelzaher +1

This paper studies social system inference from a single trajectory of public evolving opinions, wherein observation noise leads to the statistical dependence of samples on time an…

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.LG20202 cited

ControlVAE: Tuning, Analytical Properties, and Performance Analysis

Huajie Shao, Zhisheng Xiao, Shuochao Yao +3

This paper reviews the novel concept of controllable variational autoencoder (ControlVAE), discusses its parameter tuning to meet application needs, derives its key analytic proper…