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Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method


Apr 09, 2022
Zhijian Li, Jack Xin

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An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics


Jan 23, 2022
Zhijian Li, Jack Xin, Guofa Zhou

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DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework


Dec 02, 2021
Chao Zhang, Zhijian Li, Hui Qian, Xin Du

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A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles


Nov 25, 2021
Ayman Moawad, Krishna Murthy Gurumurthy, Omer Verbas, Zhijian Li, Ehsan Islam, Vincent Freyermuth, Aymeric Rousseau

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* 12 pages, 16 figures. arXiv admin note: text overlap with arXiv:2110.10887 

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A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System


Oct 21, 2021
Ayman Moawad, Zhijian Li, Ines Pancorbo, Krishna Murthy Gurumurthy, Vincent Freyermuth, Ehsan Islam, Ram Vijayagopal, Monique Stinson, Aymeric Rousseau

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* 14 pages, 11 figures 

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A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19


Oct 18, 2020
Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou

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An Integrated Approach to Produce Robust Models with High Efficiency


Aug 31, 2020
Zhijian Li, Bao Wang, Jack Xin

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A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19


Jul 14, 2020
Zhijian Li, Yunling Zheng, Jack Xin, Guofa Zhou

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A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting


Feb 13, 2019
Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin

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