A study on graph-structured recurrent neural networks and sparsification with application to epidemic forecasting Z Li, X Luo, B Wang, AL Bertozzi, J Xin Optimization of Complex Systems: Theory, Models, Algorithms and Applications …, 2020 | 19 | 2020 |
A recurrent neural network and differential equation based spatiotemporal infectious disease model with application to covid-19 Z Li, Y Zheng, J Xin, G Zhou arXiv preprint arXiv:2007.10929, 2020 | 14 | 2020 |
A spatial-temporal graph based hybrid infectious disease model with application to covid-19 Y Zheng, Z Li, J Xin, G Zhou arXiv preprint arXiv:2010.09077, 2020 | 11 | 2020 |
A real-time energy and cost efficient vehicle route assignment neural recommender system A Moawad, Z Li, I Pancorbo, KM Gurumurthy, V Freyermuth, E Islam, ... Expert Systems with Applications 263, 125634, 2025 | 10 | 2025 |
A deep learning approach for macroscopic energy consumption prediction with microscopic quality for electric vehicles A Moawad, KM Gurumurthy, O Verbas, Z Li, E Islam, V Freyermuth, ... arXiv preprint arXiv:2111.12861, 2021 | 8 | 2021 |
An integrated approach to produce robust deep neural network models with high efficiency Z Li, B Wang, J Xin International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 3 | 2021 |
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data Z Li, B Yang, P Yin, Y Qi, J Xin IEEE Access 11, 78042 - 78051, 2023 | 2 | 2023 |
Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method Z Li, J Xin 2022 5th International Conference on Artificial Intelligence for Industries …, 2022 | 2 | 2022 |
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics Z Li, J Xin, G Zhou Proceedings of the 11th International Conference on Pattern Recognition …, 2022 | 1 | 2022 |