Zhangtao Cheng

Orcid: 0000-0002-0097-3617

According to our database¹, Zhangtao Cheng authored at least 18 papers between 2022 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Information Cascade Popularity Prediction via Probabilistic Diffusion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Information Diffusion Prediction via Cascade-Retrieved In-context Learning.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Explainable Earnings Call Representation Learning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Zhangtao Cheng

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