Information diffusion in social networks
- Transformer-enhanced Hawkes process with decoupling training for information cascade prediction. KBS. 2022.
- CCGL: Contrastive cascade graph learning. IEEE TKDE. 2022. arXiv. code.
- A survey of information cascade analysis: Models, predictions, and recent advances. ACM Computing Surveys. 2021. arXiv.
- CasFlow: Exploring hierarchical structures and propagation uncertainty for cascade prediction. IEEE TKDE. 2021. code.
- Decoupling representation and regressor for long-tailed information cascade prediction. ACM SIGIR. 2021.
- Variational information diffusion for probabilistic cascade prediction. IEEE INFOCOM. 2020. code. video.
Spatial-temporal data modeling & urban computing
- Spatial-temporal contrasting for fine-grained urban flow inference. IEEE Transactions on Big Data. 2023. code.
- Overcoming forgetting in fine-grained urban flow inference via adaptive knowledge replay. AAAI. Oral. 2023. code.
Crowdfunding
Science of science
- Heterogeneous dynamical academic network for learning scientific impact propagation. KBS. 2022. code
Time series
- Learning latent seasonal-trend representations for time series forecasting. NeurIPS. Oral. 2022. code. video.
- PrEF: Probabilistic electricity forecasting via copula-augmented state space model. AAAI. 2022.