Meng Zhang

Orcid: 0000-0001-5679-6843

Affiliations:
  • PLA Information Engineering University, State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
  • PLA Information Engineering University, Key Laboratory of Cyberspace Situation Awareness of Henan Province, Zhengzhou, China


According to our database1, Meng Zhang authored at least 15 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
UMLGA: unsupervised graph meta-learning via local subgraph augmentation.
Appl. Intell., January, 2026

An Efficient Website Fingerprinting for New Websites Emerging Based on Incremental Learning.
IEEE Trans. Netw. Serv. Manag., 2026

LLM-SATPOI: A Semantic-Aligned Large Language Model with Temporal Modeling for Next POI Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

Context-aware Graph Meta-learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Twitter User Geolocation Based on Location Feature Enhancement.
ACM Trans. Web, May, 2025

Social media user geolocation based on geographically compact subgraphs.
Intell. Data Anal., 2025

Hidden AS link prediction based on random forest feature selection and GWO-XGBoost model.
Comput. Networks, 2025

MVC-Corr: An accurate and efficient flow correlation method based on multi-view fusion and contrast augmentation.
Comput. Networks, 2025

Structural Denoising Contrastive Self-supervised Graph Meta-learning.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
Social Media User Geolocation Based on Large Language Models.
Proceedings of the Data Security and Privacy Protection - Second International Conference, 2024

2023
UGCC: Social Media User Geolocation via Cyclic Coupling.
IEEE Trans. Big Data, August, 2023

2022
Who are there: Discover Twitter users and tweets for target area using mention relationship strength and local tweet ratio.
J. Netw. Comput. Appl., 2022

2021
Modelling the Latent Semantics of Diffusion Sources in Information Cascade Prediction.
Comput. Intell. Neurosci., 2021

MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Twitter User Location Inference Based on Representation Learning and Label Propagation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020


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