Xiaoyun Mo

Orcid: 0000-0001-5059-3500

According to our database1, Xiaoyun Mo authored at least 11 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Predicting the Impact of Disruptions to Urban Rail Transit Systems.
ACM Trans. Sens. Networks, February, 2023

2022
Data-driven prediction and impact analysis for smart city applications
PhD thesis, 2022

Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2017
A novel orientation- and location-independent activity recognition method.
Pers. Ubiquitous Comput., 2017

Mining relationships between mental health, academic performance and human behaviour.
Proceedings of the 2017 IEEE SmartWorld, 2017

2016
Measuring Users Relationship Strength Using a Hierarchical Voting-Based Model.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Activity Recognition Based on the Dynamic Coordinate Transformation of Inertial Sensor Data.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

2015
SASLL: A System Annotating Semantic Label of Location.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

A Framework of Fine-Grained Mobile Sensing Data Collection and Behavior Analysis in an Energy-Configurable Way.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

An Efficient Transmission Method for Bulk Data Based on Network Coding in Delay Tolerant Network.
Proceedings of the 18th ACM International Conference on Modeling, 2015

2014
Detecting overlapping communities of weighted networks by central figure algorithm.
Proceedings of the IEEE Computers, 2014


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