Zhangtao Cheng
Orcid: 0000-0002-0097-3617
According to our database1,
Zhangtao Cheng
authored at least 27 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction.
IEEE Trans. Knowl. Data Eng., August, 2025
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation.
J. Intell. Inf. Syst., August, 2025
Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning.
Proceedings of the ACM on Web Conference 2025, 2025
Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Knowl. Data Eng., December, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 2024 IEEE Global Communications Conference, 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
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
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
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
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022