activity
20182021
most citedImproving Unsupervised Domain Adaptation with Variational Information Bottleneck

10 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Cascading Bandit under Differential Privacy

Kun Wang, Jing Dong, Baoxiang Wang +2

This paper studies \emph{differential privacy (DP)} and \emph{local differential privacy (LDP)} in cascading bandits. Under DP, we propose an algorithm which guarantees -indisti…

cs.LG20203 cited

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip

Yuxuan Song, Minkai Xu, Lantao Yu +3

Although Shannon theory states that it is asymptotically optimal to separate the source and channel coding as two independent processes, in many practical communication scenarios t…

cs.IT2020

Symmetric uncoded caching schemes with low subpacketization levels

Tai Do Duc, Shuo Shao, Chaoping Xing

Caching is a commonly used technique in content-delivery networks which aims to deliver information from hosting servers to users in the most efficient way. In 2014, Maddah-Ali and…

cs.LG201910 cited

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Yuxuan Song, Lantao Yu, Zhangjie Cao +5

Domain adaptation aims to leverage the supervision signal of source domain to obtain an accurate model for target domain, where the labels are not available. To leverage and adapt…

cs.IT20195 cited

Secure Coded Caching with Colluding Users

Kangning Ma, Shuo Shao

In a secure coded caching system, a central server balances the traffic flow between peak and off-peak periods by distributing some public data to the users' caches in advance. Mea…

cs.IT2018

New Results on Multilevel Diversity Coding with Secure Regeneration

Shuo Shao, Tie Liu, Chao Tian +1

The problem of multilevel diversity coding with secure regeneration is revisited. Under the assumption that the eavesdropper can access the repair data for all compromised storage…