activity
20192021
most citedOn the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times

10 citations · 25 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Variational Co-embedding Learning for Attributed Network Clustering

Shuiqiao Yang, Sunny Verma, Borui Cai +4

Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is e…

cs.CR202110 cited

On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times

Yao Fu, Yipeng Zhou, Di Wu +3

In spite that Federated Learning (FL) is well known for its privacy protection when training machine learning models among distributed clients collaboratively, recent studies have…

eess.SP2020

Can Steering Wheel Detect Your Driving Fatigue?

Jianchao Lu, Xi Zheng, Tianyi Zhang +5

Automated Driving System (ADS) has attracted increasing attention from both industrial and academic communities due to its potential for increasing the safety, mobility and efficie…

cs.SI20208 cited

Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel

Chenhan Zhang

Digital humanities is an important subject because it enables developments in history, literature, and films. In this paper, we perform an empirical study of a Chinese historical t…

cs.CL20197 cited

Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems

Binbin Jin, Enhong Chen, Hongke Zhao +4

In the area of community question answering (CQA), answer selection and answer ranking are two tasks which are applied to help users quickly access valuable answers. Existing solut…