1. IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction;An;Neural Networks,2021
2. Neural machine translation by jointly learning to align and translate;Bahdanau,2015
3. Online forecasting chlorophyll a concentrations by an auto-regressive integrated moving average model: Feasibilities and potentials;Chen;Harmful Algae,2015
4. TADA: Trend alignment with dual-attention multi-task recurrent neural networks for sales prediction;Chen,2018
5. Choi, E., Bahadori, M. T., Sun, J. M., Kulas, J. A., Schuetz, A., & Stewart, W. F. (2016). RETAIN: An interpretable predictive model for healthcare using reverse time attention mechanism. In Proceedings of the 30th international conference on neural information processing systems (pp. 3512–3520).