Zhijian Li
Zhijian Li
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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
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
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, ...
arXiv preprint arXiv:2110.10887, 2021
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
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
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
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
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
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
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Artículos 1–9