| 2026 | AAAI | Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization. | Xiaohan Wang, Zhangtao Cheng, Ting Zhong, Leiting Chen, Fan Zhou |
| 2026 | WWW | Evidential Matching, Uncertainty Calibration: Towards Robust Composed Video Retrieval with Noisy Triplets. | Zhangtao Cheng, Bozhu Zheng, Ting Zhong, Fan Zhou |
| 2026 | WWW | Modeling Multimodal Information Cascade on Social Media with Interpretable Mixture of Experts. | Xin Jing, Zeyu Shi, Zhangtao Cheng, Yichen Jing, Yuhuan Lu, Bangchao Deng, Dingqi Yang |
| 2025 | AAAI | In-context Prompt-augmented Micro-video Popularity Prediction. | Zhangtao Cheng, Jiao Li, Jian Lang, Ting Zhong, Fan Zhou |
| 2025 | AAAI | Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning. | Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou |
| 2025 | GLOBECOM | Distilled Multimodal Retrieval Augmentation for User Engagement Prediction. | Hongzhu Fu, Yutao Wei, Zhangtao Cheng, Yang Liu, Xing He, Ting Zhong, Fan Zhou |
| 2025 | KDD | Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation. | Zhangtao Cheng, Jian Lang, Ting Zhong, Fan Zhou |
| 2025 | KDD | Generative Thinking, Corrective Action: User-Friendly Composed Image Retrieval via Automatic Multi-Agent Collaboration. | Zhangtao Cheng, Yuhao Ma, Jian Lang, Kunpeng Zhang, Ting Zhong, Yong Wang, Fan Zhou |
| 2025 | KDD | REDEEMing Modality Information Loss: Retrieval-Guided Conditional Generation for Severely Modality Missing Learning. | Jian Lang, Rongpei Hong, Zhangtao Cheng, Ting Zhong, Yong Wang, Fan Zhou |
| 2025 | WWW | Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning. | Rongpei Hong, Jian Lang, Jin Xu, Zhangtao Cheng, Ting Zhong, Fan Zhou |
| 2025 | SIGIR | Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction. | Wei Chen, Jiao Li, Jian Lang, Zhangtao Cheng, Yong Wang, Fan Zhou |
| 2024 | AAAI | Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). | Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou |
| 2024 | AAAI | Explainable Earnings Call Representation Learning (Student Abstract). | Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang |
| 2024 | AAAI | Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). | Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong |
| 2024 | AAAI | Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). | Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou |
| 2024 | AAAI | Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). | Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski |
| 2024 | AAAI | Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). | Yutao Wei, Wenzheng Shu, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong |
| 2024 | AAAI | Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). | Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou |
| 2024 | AAAI | THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). | Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang |
| 2024 | GLOBECOM | Denoising Propagation Uncertainty for Information Source Localization. | Leyuan Liu, Zhangtao Cheng, Xovee Xu, Fan Zhou |
| 2024 | KDD | Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. | Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou |
| 2024 | SIGIR | Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. | Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou |
| 2024 | SIGIR | Information Diffusion Prediction via Cascade-Retrieved In-context Learning. | Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen |
| 2023 | AAAI | CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). | Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski |
| 2023 | CIKM | Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. | Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, Fan Zhou |
| 2023 | CIKM | Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. | Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou |
| 2022 | AAAI | Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). | Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou |
| 2022 | IJCNN | Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. | Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou |