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Wei Cao

Jiang Bian

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
Self-paced Ensemble for Highly Imbalanced Massive Data Classification

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