16 citations · 87 across the 18 of their papers we have counts for
17 papers · 1 filter
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…
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…
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…
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
Rui She, Shanyun Liu, Shuo Wan +2
In many applications (e.g., anomaly detection and security systems) of smart cities, rare events dominate the importance of the total information of big data collected by Internet…
Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems
Shanyun Liu, Yunquan Dong, Pingyi Fan +2
This paper focuses on the problem of finding a particular data recommendation strategy based on the user preferences and a system expected revenue. To this end, we formulate this p…
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…
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…
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…
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization
Shanyun Liu, Rui She, Pingyi Fan
Data collection is a fundamental problem in the scenario of big data, where the size of sampling sets plays a very important role, especially in the characterization of data struct…
How Many Samples Required in Big Data Collection: A Differential Message Importance Measure
Shanyun Liu, Rui She, Pingyi Fan
Information collection is a fundamental problem in big data, where the size of sampling sets plays a very important role. This work considers the information collection process by…
State Variation Mining: On Information Divergence with Message Importance in Big Data
Rui She, Shanyun Liu, Pingyi Fan
Information transfer which reveals the state variation of variables usually plays a vital role in big data analytics and processing. In fact, the measures for information transfer…
Non-parametric Message Important Measure: Storage Code Design and Transmission Planning for Big Data
Shanyun Liu, Rui She, Pingyi Fan +1
Storage and transmission in big data are discussed in this paper, where message importance is taken into account. Similar to Shannon Entropy and Renyi Entropy, we define non-parame…
Amplifying Inter-message Distance: On Information Divergence Measures in Big Data
Rui She, Shanyun Liu, Pingyi Fan
Message identification (M-I) divergence is an important measure of the information distance between probability distributions, similar to Kullback-Leibler (K-L) and Renyi divergenc…
Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures
Shanyun Liu, Rui She, Jiaxun Lu +1
Shannon entropy is the most crucial foundation of Information Theory, which has been proven to be effective in many fields such as communications. Renyi entropy and Chernoff inform…
Focusing on a Probability Element: Parameter Selection of Message Importance Measure in Big Data
Rui She, Shanyun Liu, Yunquan Dong +1
Message importance measure (MIM) is applicable to characterize the importance of information in the scenario of big data, similar to entropy in information theory. In fact, MIM wit…
Location-aware ICI Reduction in MIMO-OFDM Downlinks for High-speed Railway Communication Systems
Jiaxun Lu, Xuhong Chen, Shanyun Liu +1
High mobility may destroy the orthogonality of subcarriers in OFDM systems, resulting in inter- carrier interference (ICI), which may greatly reduce the service quantity of high-sp…
Message Importance Measure and Its Application to Minority Subset Detection in Big Data
Pingyi Fan, Yunquan Dong, Jiaxun Lu +1
Message importance measure (MIM) is an important index to describe the message importance in the scenario of big data. Similar to the Shannon Entropy and Renyi Entropy, MIM is requ…