Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information Y Zhuang, M Almeida, M Morabito, W Ding IEEE International Conference on Big Knowledge (ICBK),, 143-150, 2017 | 71 | 2017 |
Long-lead prediction of extreme precipitation cluster via a spatiotemporal convolutional neural network Y Zhuang, W Ding The 6th International Workshop on Climate Informatics (CI2016), 2016 | 24 | 2016 |
An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting Y Zhuang, K Yu, D Wang, W Ding IEEE 13th International Conference on Networking, Sensing, and Control …, 2016 | 15 | 2016 |
Mitigating class-boundary label uncertainty to reduce both model bias and variance M Almeida, Y Zhuang, W Ding, SE Crouter, P Chen ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-18, 2021 | 10 | 2021 |
Galaxy: Towards Scalable and Interpretable Explanation on High-dimensional and Spatio-Temporal Correlated Climate Data Y Zhuang, DL Small, X Shu, K Yu, S Islam, W Ding 2018 IEEE International Conference on Big Knowledge (ICBK), 146-153, 2018 | 2 | 2018 |
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting Y Zhuang, DL Small, PD Flynn, W Palash, S Islam, P Chen, W Ding 2023 IEEE International Conference on Big Data (BigData), 1031-1038, 2023 | | 2023 |
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems Y Zhuang, M Almeida, W Ding, PD Flynn, S Islam, P Chen 2022 IEEE International Conference on Data Mining (ICDM), 833-842, 2022 | | 2022 |
Predicting Flood Streamflow with Auto Regressive Integrated Moving Average Models E Yang, Y Zhuang Journal of Student Research 11 (3), 2022 | | 2022 |
Long Term Predictive Modeling on Big Spatio-Temporal Data Y Zhuang University of Massachusetts Boston, 2021 | | 2021 |