activity
20162020
most citedMessage Importance Measure and Its Application to Minority Subset Detection in Big Data

8 citations · 21 across the 7 of their papers we have counts for

collaborators

10 papers

cs.IT20205 cited

An Importance Aware Weighted Coding Theorem Using Message Importance Measure

Zheqi Zhu, Shanyun Liu, Rui She +3

There are numerous scenarios in source coding where not only the code length but the importance of each value should also be taken into account. Different from the traditional codi…

cs.IT2020

Storage Space Allocation Strategy for Digital Data with Message Importance

Shanyun Liu, Rui She, Zheqi Zhu +1

This paper mainly focuses on the problem of lossy compression storage from the perspective of message importance when the reconstructed data pursues the least distortion within lim…

cs.IT20192 cited

Age-upon-Decisions Minimizing Scheduling in Internet of Things: To be Random or to be Deterministic?

Yunquan Dong, Zhengchuan Chen, Shanyun Liu +2

We consider an Internet of Things (IoT) system in which a sensor delivers updates to a monitor with exponential service time and first-come-first-served (FCFS) discipline. We inves…

cs.IT20191 cited

Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy

Rui She, Shanyun Liu, Pingyi Fan

Rare events attract more attention and interests in many scenarios of big data such as anomaly detection and security systems. To characterize the rare events importance from proba…

cs.IT2018

Age of Information Upon Decisions

Yunquan Dong, Zhengchuan Chen, Shanyun Liu +1

We consider an M/M/1 update-and-decide system where Poisson distributed decisions are made based on the received updates. We propose to characterize the freshness of the received u…

cs.IT2018

A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure

Shanyun Liu, Rui She, Shuo Wan +2

This paper mainly focuses on the utilization frequency in receiving end of communication systems, which shows the inclination of the user about different symbols. When the average…