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DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting

Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu

Revisiting the evaluation of end-to-end event extraction

Shun Zheng, Wei Cao, Wei Xu, Jiang Bian

BRITS: bidirectional recurrent imputation for time series

Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li

When will you arrive? estimating travel time based on deep neural networks

Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng

DeepSD: supply-demand prediction for online car-hailing services using deep neural networks

Dong Wang, Wei Cao, Jian Li, Jieping Ye

k-regret minimizing set: Efficient algorithms and hardness

Wei Cao, Jian Li, Haitao Wang, Kangning Wang, Ruosong Wang, Raymond Chi-Wing Wong, Wei Zhan

Automatic user identification method across heterogeneous mobility data sources

Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu

On top-k selection in multi-armed bandits and hidden bipartite graphs

Wei Cao, Jian Li, Yufei Tao, Zhize Li