Yupeng Tuo

According to our database1, Yupeng Tuo authored at least 11 papers between 2017 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Detecting Unknown DGAs Using Distances Between Feature Vectors of Domain Names.
Proceedings of the 28th International Conference on Telecommunications, 2021

2020
CgNet: Predicting Urban Congregations from Spatio-Temporal Data Using Deep Neural Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Detecting Abnormal Congregation Through the Analysis of Massive Spatio-Temporal Data.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
A Loss-Tolerant Mechanism of Message Segmentation and Reconstruction in Multi-path Communication of Anti-tracking Network.
Proceedings of the Security and Privacy in Communication Networks, 2019

Achieving Dynamic Communication Path for Anti-Tracking Network.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Smart Topology Construction Method for Anti-tracking Network Based on the Neural Network.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
Online Discovery of Congregate Groups on Sparse Spatio-temporal Data.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

2017
MSTM: A novel map matching approach for low-sampling-rate trajectories.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

NSIM: A robust method to discover similar trajectories on cellular network location data.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Towards Robust and Accurate Similar Trajectory Discovery: Weak-Parametric Approaches.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

Mining Users' Important Locations and Semantics on Cellular Network Data.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017


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