Wei Cao

Latest

• DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
• HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting
• Impact of pandemic fatigue on the spread of COVID-19: a mathematical modelling study
• Revisiting the evaluation of end-to-end event extraction
• Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning
• MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
• Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
• LMVP: Video Predictor with Leaked Motion Information
• Self-paced Ensemble for Highly Imbalanced Massive Data Classification
• BRITS: bidirectional recurrent imputation for time series
• When will you arrive? estimating travel time based on deep neural networks
• DeepSD: supply-demand prediction for online car-hailing services using deep neural networks
• k-regret minimizing set: Efficient algorithms and hardness
• Automatic user identification method across heterogeneous mobility data sources
• Balanced splitting on weighted intervals
• On top-k selection in multi-armed bandits and hidden bipartite graphs