| A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances F Zhou, X Xu, G Trajcevski, K Zhang ACM Computing Surveys (CSUR) 54 (2), 27:1-27:36, 2021 | 84 | 2021 |
| Variational Information Diffusion for Probabilistic Cascades Prediction F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong IEEE Conference on Computer Communications (INFOCOM), 1618-1627, 2020 | 27 | 2020 |
| A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact F Zhou, X Xu, C Li, G Trajcevski, T Zhong, K Zhang arXiv:2003.12042, 8 pages, 2020 | 11 | 2020 |
| CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction X Xu, F Zhou, K Zhang, S Liu, G Trajcevski IEEE Transactions on Knowledge and Data Engineering (TKDE) 35 (4), 3484-3499, 2021 | 9 | 2021 |
| Unsupervised User Identity Linkage via Graph Neural Networks F Zhou, Z Wen, T Zhong, G Trajcevski, X Xu, L Liu IEEE Global Communications Conference (GLOBECOM), 6 pages, 2020 | 8 | 2020 |
| Contrastive Trajectory Learning for Tour Recommendation F Zhou, P Wang, X Xu, W Tai, G Trajcevski ACM Transactions on Intelligent Systems and Technology (TIST) 13 (1), 1-25, 2022 | 7 | 2022 |
| CCGL: Contrastive Cascade Graph Learning X Xu, F Zhou, K Zhang, S Liu IEEE Transactions on Knowledge and Data Engineering (TKDE), 15 pages, 2022 | 7 | 2022 |
| Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction F Zhou, L Yu, X Xu, G Trajcevski International ACM SIGIR Conference on Research and Development in …, 2021 | 7 | 2021 |
| Continual Information Cascade Learning F Zhou, X Jing, X Xu, T Zhong, G Trajcevski, J Wu IEEE Global Communications Conference (GLOBECOM), 6 pages, 2020 | 7 | 2020 |
| PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model Z Wang, X Xu, G Trajcevski, K Zhang, T Zhong, F Zhou AAAI Conference on Artificial Intelligence (AAAI) 36 (11), 12200-12207, 2022 | 4 | 2022 |
| Heterogeneous Dynamical Academic Network for Learning Scientific Impact Propagation X Xu, T Zhong, C Li, G Trajcevski, F Zhou Knowledge-Based Systems 238, 107839, 2022 | 4 | 2022 |
| Fine-Grained Urban Flow Inference via Normalizing Flows (Student Abstract) H Yu, X Xu, T Zhong, F Zhou AAAI Conference on Artificial Intelligence (AAAI) 36 (11), 13101-13102, 2022 | 1 | 2022 |
| Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract) G Wang, X Xu, T Zhong, F Zhou AAAI Conference on Artificial Intelligence (AAAI) 36 (11), 13073-13074, 2022 | 1 | 2022 |
| Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract) L Yu, X Xu, T Zhong, G Trajcevski, F Zhou AAAI Conference on Artificial Intelligence (AAAI) 36 (11), 13103-13104, 2022 | 1 | 2022 |
| Learning Latent Seasonal-Trend Representations for Time Series Forecasting Z Wang, X Xu, G Trajcevski, W Zhang, T Zhong, F Zhou Advances in Neural Information Processing Systems (NeurIPS) 35, 2022 | 1 | 2022 |
| HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment F Zhou, C Li, X Xu, L Liu, G Trajcevski IEEE Global Communications Conference (GLOBECOM), 6 pages, 2021 | 1 | 2021 |
| Meta-Learned User Preference for Topic Participation Prediction F Zhou, X Qi, X Xu, J Wang, T Zhong, G Trajcevski IEEE Global Communications Conference (GLOBECOM), 6 pages, 2020 | 1 | 2020 |
| Counterfactual Graph Learning for Anomaly Detection on Attributed Networks C Xiao, X Xu, Y Lei, K Zhang, S Liu, F Zhou IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 | | 2023 |
| Information Cascade Prediction System and Method Based on Transformer-Enhanced Hawkes Process F Zhou, L Yu, T Zhong, X Xu, P Kuang CN Patent CN115,409,155 A, 2022 | | 2022 |
| Probabilistic Electricity Demand Forecasting with Transformer-Guided State Space Model Y Cao, Z Dang, F Wu, X Xu, F Zhou IEEE International Conference on Automation, Electronics and Electrical …, 2022 | | 2022 |
Fan Zhou (周帆)University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
