Zhangtao Cheng

Orcid: 0000-0002-0097-3617

According to our database1, Zhangtao Cheng authored at least 14 papers between 2022 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Explainable Earnings Call Representation Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning.
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.
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).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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