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- ArticleAugust 2024
Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks
Knowledge Science, Engineering and ManagementPages 233–247https://doi.org/10.1007/978-981-97-5498-4_18AbstractSpatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system. However, most existing methods focus on the modeling of spatial-temporal data in a single mode, lacking the ...
- research-articleApril 2024
Continuous-Time User Preference Modelling for Temporal Sets Prediction
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 36, Issue 4Pages 1475–1488https://doi.org/10.1109/TKDE.2023.3309982Given a sequence of sets, where each set has a timestamp and contains an arbitrary number of elements, temporal sets prediction aims to predict the elements in the subsequent set. Previous studies for temporal sets prediction mainly focus on the modelling ...
- research-articleFebruary 2023
Predicting temporal sets with simplified fully connected networks
AAAI'23/IAAI'23/EAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial IntelligenceArticle No.: 540, Pages 4835–4844https://doi.org/10.1609/aaai.v37i4.25609Given a sequence of sets, where each set contains an arbitrary number of elements, temporal sets prediction aims to predict which elements will appear in the subsequent set. Existing methods for temporal sets prediction are developed on sophisticated ...
- research-articleNovember 2022
Multi-scale graph learning for ovarian tumor segmentation from CT images
Neurocomputing (NEUROC), Volume 512, Issue CPages 398–407https://doi.org/10.1016/j.neucom.2022.09.093AbstractOvarian cancer is the gynecological malignant tumor with low early diagnosis rate and high mortality. Automated and reliable segmentation of ovarian tumor plays an essential role in ovarian cancer radiotherapy, which assists ...
- research-articleDecember 2022
Research on Short-term Load Forecasting of Power System Based on Wavelet Denoising and Artificial Neural Network
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 60–65https://doi.org/10.1145/3569966.3569982Power system short-term load forecasting plays an important role in the reliable, safe and economic operation of power system. Power system load forecasting data is an important basis for power grid planning, scheduling, marketing and other departments. ...
- research-articleMarch 2020
Efficient Ridesharing Framework for Ride-matching via Heterogeneous Network Embedding
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 14, Issue 3Article No.: 27, Pages 1–24https://doi.org/10.1145/3373839Ridesharing has attracted increasing attention in recent years, and combines the flexibility and speed of private cars with the reduced cost of fixed-line systems to benefit alleviating traffic pressure. A major issue in ridesharing is the accurate ...