Rong Wang

Orcid: 0000-0002-7963-1766

Affiliations:
  • Chongqing University of Posts and Telecommunications, School of Software Engineering, China
  • University of Electronic Science and Technology of China, Chengdu, China (PhD 2018)


According to our database1, Rong Wang authored at least 13 papers in 2024.

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

Timeline

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Bibliography

2024
Cycle-Fed: A Double-Confidence Unlabeled Data Augmentation Method Based on Semisupervised Federated Learning.
IEEE Trans. Mob. Comput., December, 2024

A Derivative Topic Dissemination Model Based on Representation Learning and Topic Relevance.
IEEE Trans. Knowl. Data Eng., December, 2024

Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

A Malicious Information Traceability Model Based on Neighborhood Similarity and Multiple Types of Interaction.
IEEE Trans. Comput. Soc. Syst., October, 2024

Road network pixelization: A traffic flow imputation method based on image restoration techniques.
Expert Syst. Appl., March, 2024

E-commerce bookstore user alignment model based on multidimensional feature joint representation and implicit behavior compensation.
Expert Syst. Appl., March, 2024

Topic Audiolization: A Model for Rumor Detection Inspired by Lie Detection Technology.
Inf. Process. Manag., January, 2024

Spreading Mosaic: An Image Restoration-Inspired Social Rumor Propagation Model.
IEEE Trans. Multim., 2024

A prediction model for rumor user propagation behavior based on sparse representation and transfer learning.
Inf. Sci., 2024

A model for early rumor detection base on topic-derived domain compensation and multi-user association.
Expert Syst. Appl., 2024

A malware detection model based on imbalanced heterogeneous graph embeddings.
Expert Syst. Appl., 2024

Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning.
CoRR, 2024

A fast malware detection model based on heterogeneous graph similarity search.
Comput. Networks, 2024


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