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02/10/2023
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data
In this paper, we propose a feature affinity (FA) assisted knowledge dis...
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04/09/2022
Channel Pruning In Quantization-aware Training: An Adaptive Projection-gradient Descent-shrinkage-splitting Method
We propose an adaptive projection-gradient descent-shrinkage-splitting m...
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01/23/2022
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics
We developed an integrated recurrent neural network and nonlinear regres...
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12/02/2021
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
The recently developed Particle-based Variational Inference (ParVI) meth...
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11/25/2021
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
This paper presents a machine learning approach to model the electric co...
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10/21/2021
A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System
This paper presents a neural network recommender system algorithm for as...
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10/18/2020
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19
As the COVID-19 pandemic evolves, reliable prediction plays an important...
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08/31/2020
An Integrated Approach to Produce Robust Models with High Efficiency
Deep Neural Networks (DNNs) needs to be both efficient and robust for pr...
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07/14/2020
A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19
The outbreaks of Coronavirus Disease 2019 (COVID-19) have impacted the w...
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02/13/2019