Dongpeng Hou

Orcid: 0000-0003-4688-4705

According to our database1, Dongpeng Hou authored at least 19 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MGOIDP: Memory-Enhanced Graph Neural Ordinary Differential Equations for Microscopic Information Diffusion Prediction.
IEEE Trans. Netw. Sci. Eng., 2026

LLM-assisted fake news detection with adaptive boosting framework incorporating contrastive learning.
Inf. Process. Manag., 2026

Source Localization in Continuous-Time Propagation via Spectral ODE Modeling.
Proceedings of the ACM Web Conference 2026, 2026

Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
FGSSI: A Feature-Enhanced Framework With Transferability for Sequential Source Identification.
IEEE Trans. Dependable Secur. Comput., 2025

Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Prior-based Discrete Diffusion Model for Social Graph Generation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Random Full-Order-Coverage Based Rapid Source Localization With Limited Observations for Large-Scale Networks.
IEEE Trans. Netw. Sci. Eng., 2024

Propagation Dynamics of Rumor vs. Non-rumor across Multiple Social Media Platforms Driven by User Characteristics.
CoRR, 2024

Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Inferring Information Diffusion Networks without Timestamps.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

New Localization Frameworks: User-centric Approaches to Source Localization in Real-world Propagation Scenarios.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DAG-Aware Variational Autoencoder for Social Propagation Graph Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Lightweight source localization for large-scale social networks.
Proceedings of the ACM Web Conference 2023, 2023

Sequential Attention Source Identification Based on Feature Representation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


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